Outputs

2022

  • Stevens M., Correia G., Scheltes A., Van Arem B. 2022. “An agent-based model for assessing the financial viability of autonomous mobility on-demand systems used as first and last-mile of public transport trips: A case-study in Rotterdam, The Netherlands”. Journal of Transportation Business and Management. https://doi.org/10.1016/j.rtbm.2022.100875
  • Blad K., Correia G., Nes R., Annema J. 2022. “A methodology to determine suitable locations for regional shared mobility hubs Case Studies on Transport Policy”. Case Studies in Transport Policy. Accepted for Publication. https://doi.org/10.1016/j.cstp.2022.08.005
  • Wang S., Correia G., Xiang H. 2022. “Modeling the Competition Between Multiple Automated Mobility on-Demand Operators: An Agent-Based Approach”. Physica A: Statistical Mechanics and its Applications. Accepted for publication. https://doi.org/10.1016/j.physa.2022.128033
  • Prencipe L., van Essen T., Caggiani L., Ottomanelli M., Correia G. 2022. “A mathematical programming model for optimal management of electric carsharing systems with Vehicle-to-Grid Operations”. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2022.133147
  • Ibraeva A., Correia G., Silva C., Antunes A. 2022. “Mobility impacts of a new metro system with Transit-Oriented Development features”. Transportation Research Part D: Transport and Environment. Vol. 109. https://doi.org/10.1016/j.trd.2022.103357
  • Ashkrof P., Correia G., Cats O., Arem B. 2022. “Ride Acceptance Behaviour of Ride-sourcing Drivers”. Transportation Research Part C: Emerging Technologies. Vol. 142. https://doi.org/10.1016/j.trc.2022.103783
  • Wang S., Correia G., Xiang H. 2022. “Assessing the Potential of the Strategic Formation of Urban Platoons for Shared Automated Vehicle Fleets”. Journal of Advanced Transportation. Vol. 2022. https://doi.org/10.1155/2022/1005979
  • Chang X., Wu J., Correia G., Sun H., Feng Z. 2022. “A cooperative strategy for optimizing vehicle relocations and staff movements in cities where several carsharing companies operate simultaneously”. Transportation Research Part E: Logistics and Transportation Review. Vol. 161, pp. 235-260. https://doi.org/10.1016/J.TRE.2022.102711
  • Ghisolfi, V., Tavasszy, L. A., Correia, G., Chaves, G. de L. D., & Ribeiro, G. M. 2022. Freight Transport Decarbonization: A Systematic Literature Review of System Dynamics Models. Sustainability, 14(6), 3625. https://doi.org/10.3390/su14063625
  • Vilaça, M., Santos, G., Oliveira, M. S. A., Coelho, M. C., Correia, G. 2022. “Life cycle assessment of shared and private use of automated and electric vehicles on interurban mobility”. Applied Energy, 310, 118589. https://doi.org/10.1016/J.APENERGY.2022.118589
  • Calabrò G., Le Pira M., Giuffrida N.,Inturri G., Ignaccolo M., Correia G. 2022. “Fixed-Route vs. Demand-Responsive Transport Feeder Services: An Exploratory Study Using an Agent-Based Model”. Journal of Advanced Transportation. 2022,  pp. 1-20. https://doi.org/10.1155/2022/8382754

2021

  • Jin, W.L., Martínez, I., and Menendez, M., 2021. Compartmental model and fleet-size management for shared mobility systems with for-hire vehicles. Transportation Research Part C 129, https://doi.org/10.1016/j.trc.2021.103236
  • Martínez, I., and Jin, W.L., 2021. On time-dependent trip distance distribution with for-hire vehicle trips in Chicago. Transportation Research Record 2675(11), https://doi.org/10.1177/03611981211021552
  • Bösehans, G., Bell, M., Thorpe, N., Liao, F., Correia, G., Dissanayake, D. 2021. “eHUBs—Identifying the potential early and late adopters of shared electric mobility hubs”. Int. J. Sustain. Transp. 2021 pp. 1–20. https://doi.org/10.1080/15568318.2021.2015493
  • Le Pira M., Tavasszy L., Correia G., Ignaccolo M., Inturri G. 2021. “Opportunities for integration between Mobility as a Service (MaaS) and freight transport: a conceptual model”. Sustainable cities and Society. Vol. 74. 103212. https://doi.org/10.1016/j.scs.2021.103212
  • Ibraeva A., Van Wee B., Correia G., Antunes A. 2021. “Longitudinal macro-analysis of car-use changes resulting from a TOD-type project: The case of Metro do Porto (Portugal)”. Journal of Transport Geography. Vol. 92. 103036. https://doi.org/10.1016/j.jtrangeo.2021.103036
  • Santos G. Correia G. 2021. “A flow-based integer Programming approach to design an interurban shared automated vehicle system and assess its financial viability”. Transportation Research Part C: Emerging Technologies. Vol. 128. 103092. https://doi.org/10.1016/j.trc.2021.103092
  • Jamshidi H. Correia G. Essen T.  Nökel K. 2021. “Dynamic planning for simultaneous recharging and relocation of shared electric taxies: A sequential MILP approach”. Transportation Research Part C: Emerging Technologies. Vol. 125. 102933. https://doi.org/10.1016/j.trc.2020.102933

2020

  • Huang, K., An, K., Correia, G.H. de A., 2020. Planning station capacity and fleet size of one-way electric carsharing systems with continuous state of charge functions. European Journal of Operational Research. https://doi.org/https://doi.org/10.1016/j.ejor.2020.05.001
  • Wang, Y., Correia, G., de Romph, E., Santos, B.F., 2020. Road Network Design in a Developing Country Using Mobile Phone Data: An Application to Senegal. IEEE Intelligent Transportation Systems Magazine 12, 36–49. 
    https://doi.org/10.1109/MITS.2018.2879168
  • Wang, W., Wang, Y., Correia, G.H. de A., Chen, Y., 2020. A Network-Based Model of Passenger Transfer Flow between Bus and Metro: An Application to the Public Transport System of Beijing. Journal of Advanced Transportation 2020, 1–12. https://doi.org/10.1155/2020/6659931
  • van der Veen, A.S., Annema, J.A., Martens, K., van Arem, B., Correia, G.H. de A., 2020. Operationalizing an indicator of sufficient accessibility – a case study for the city of Rotterdam. Case Studies on Transport Policy 8, 1360–1370. https://doi.org/10.1016/j.cstp.2020.09.007
  • Conceição, L., Correia, G.H. de A., Tavares, J.P., 2020. The Reversible Lane Network Design Problem (RL-NDP) for Smart Cities with Automated Traffic. Sustainability 12, 1226. https://doi.org/10.3390/su12031226
  • Thoen, S., Tavasszy, L., de Bok, M., Correia, G., van Duin, R., 2020. Descriptive modeling of freight tour formation: A shipment-based approach. Transportation Research Part E: Logistics and Transportation Review 140.   
    https://doi.org/10.1016/j.tre.2020.101989
  • Ashkrof, P., Homem de Almeida Correia, G., van Arem, B., 2020. Analysis of the effect of charging needs on battery electric vehicle drivers’ route choice behaviour: A case study in the Netherlands. Transportation Research Part D: Transport and Environment 78, 102206. https://doi.org/10.1016/j.trd.2019.102206
  • Roukouni, A., Homem de Almeida Correia, G., 2020. Evaluation Methods for the Impacts of Shared Mobility: Classification and Critical Review. Sustainability 12, 10504. https://doi.org/10.3390/su122410504
  • Razmi Rad, S., Homem de Almeida Correia, G., Hagenzieker, M., 2020. Pedestrians’ road crossing behaviour in front of automated vehicles: Results from a pedestrian simulation experiment using agent-based modelling. Transportation Research Part F: Traffic Psychology and Behaviour 69, 101–119. 
    https://doi.org/10.1016/j.trf.2020.01.014
  • Lu, R., Correia, G.H. de A., Zhao, X., Liang, X., Lv, Y., 2020. Performance of one-way carsharing systems under combined strategy of pricing and relocations. Transportmetrica B. https://doi.org/10.1080/21680566.2020.1819912
  • Liao, F., Correia, G., 2020. Electric carsharing and micromobility: A literature review on their usage pattern, demand, and potential impacts. International Journal of Sustainable Transportation 0, 1–30. 
    https://doi.org/10.1080/15568318.2020.1861394
  • Liang, X., Correia, G.H. de A., An, K., van Arem, B., 2020. Automated taxis’ dial-a-ride problem with ride-sharing considering congestion-based dynamic travel times. Transportation Research Part C: Emerging Technologies 112, 260–281. https://doi.org/10.1016/j.trc.2020.01.024
  • Legêne, M.F., Auping, W.L., Correia, G.H. de A., van Arem, B., 2020. Spatial impact of automated driving in urban areas. Journal of Simulation 1–9. https://doi.org/10.1080/17477778.2020.1806747
  • Overtoom, I., Correia, G., Huang, Y., Verbraeck, A., 2020. Assessing the impacts of shared autonomous vehicles on congestion and curb use. International Journal of Transportation Science and Technology 1–12. 
    https://doi.org/10.1016/j.ijtst.2020.03.009
  • Ibraeva, A., Correia, G.H. de A., Silva, C., Antunes, A.P., 2020. Transit-oriented development: A review of research achievements and challenges. Transportation Research Part A: Policy and Practice 132, 110–130. 
    https://doi.org/10.1016/j.tra.2019.10.018
  • Demissie, M.G., Kattan, L., Phithakkitnukoon, S., Homem de Almeida Correia, G., Veloso, M., Bento, C., 2020. 
    Modeling Location Choice of Taxi Drivers for Passenger Pick-Up Using GPS Data. IEEE Intelligent Transportation Systems Magazine. https://doi.org/10.1109/MITS.2020.3014099
  • Mullakkal-Babu, F. A., Wang, M., van Arem, B. & Happee, R. 2020 Comparative Safety Assessment of Automated Driving Strategies at Highway Merges in Mixed Traffic. IEEE Transactions on Intelligent Transportation Systems, 2020, pp. 1-14. https://doi.org/10.1109/TITS.2020.3038866
  • Mullakkal-Babu, F. A., Wang, M., van Arem, B. & Happee, R. 2020 Empirics and models of fragmented lane changes. IEEE Open Journal of Intelligent Transportation Systems, 1: 187-200.
    https://doi.org/10.1109/OJITS.2020.3029056
  • Liu, M., Hoogendoorn, S., & Wang, M. 2020. Receding Horizon Cooperative Platoon Trajectory Planning on Corridors with Dynamic Traffic Signal. Transportation Research Record, 2674 (12), 324-338. 
    https://doi.org/10.1177/0361198120954869
  • Zhao, J., Kigen, K. K., & Wang, M. 2020. Modelling the operation of vehicles at signalised intersections with special width approach lane based on field data. IET Intelligent Transport Systems, 14(12), 1565-1572. 
    https://doi.org/10.1049/iet-its.2020.0157
  • Gao, X., Zhao, J., & Wang, M. 2020. Modelling the saturation flow rate for continuous flow intersections based on field collected data. PloS one, 15(8), e0236922. https://doi.org/10.1371/journal.pone.0236922
  • Mullakkal-Babu, F. A., Wang, M., He, X., van Arem, B., & Happee, R. 2020. Probabilistic field approach for motorway driving risk assessment. Transportation Research Part C, 118, 102716. 
    https://doi.org/10.1016/j.trc.2020.102716
  • Chen, N., van Arem, B., Alkim, T., & Wang, M. 2020. A Hierarchical Model-Based Optimization Control Approach for Cooperative Merging by Connected Automated Vehicles. IEEE Transactions on Intelligent Transportation Systems. 
    https://doi.org/10.1109/TITS.2020.3007647
  • Mullakkal-Babu, F.A., Wang, M., van Arem, B., Shyrokau, B., Happee, R. 2020 A hybrid submicroscopic-microscopic traffic flow simulation framework. IEEE Transactions on Intelligent Transportation Systems. (https://doi.org/10.1109/TITS.2020.2990376
  • Duret, A., Wang, M., & Ladino, A. 2020 A Hierarchical Approach For Splitting Truck Platoons Near Network Discontinuities. Transportation Research Part B: Methodological, 132, 285-302. 
    https://doi.org/10.1016/j.trb.2019.04.006
  • Xiao, L., Wang, M., & van Arem, B.. 2020. Traffic flow impacts of converting an HOV lane into a dedicated CACC lane on a freeway corridor. IEEE Intelligent Transportation Systems Magazine, 12 (1), 60-73. 
    10.1109/MITS.2019.2953477
  • Quaglietta, E., Wang, M., Goverde, R. 2020 A multi-state train-following model for the analysis of Virtual Coupling railway operations. Journal of Railway Transport Planning and Management, 15, 100195. 
    https://doi.org/10.1016/j.jrtpm.2020.100195
  • Zhao, J., Knoop, V., Wang, M. 2020 Two-dimensional vehicular movement modelling at intersections based on optimal control. Transportation Research Part B, 138, 1-22, https://doi.org/10.1016/j.trb.2020.04.001
  • Zhang, Y., Bai, Y., Wang, M., & Hu, J. 2020. Cooperative Adaptive Cruise Control With Robustness Against Communication Delay: An Approach in the Space Domain. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/TITS.2020.2987746  
  • Zhang, Y., Bai,  Y., Hu, J., Wang, M. 2020 Control Design, Stability Analysis and Traffic Flow Implications for CACC Systems with Compensation of Communication Delay. Transportation Research Record, 
    https://doi.org/10.1177/0361198120918873
  • Zhou, Y., Ahn, S., Wang, M. and Hoogendoorn, S.P. 2020 Stabilizing Mixed Vehicular Platoons with Connected Automated Vehicles: An H-infinity Approach. Transportation Research Part B: Methodological, 132, 152-170. 
    https://doi.org/10.1016/j.trb.2019.06.005
  • Martínez, I., and Jin, W.L., 2020. Optimal location problem for variable speed limit application areas. Transportation Research Part B 139, https://doi.org/10.1016/j.trb.2020.05.003
  • Wada, K. Martínez, I., and Jin, W.L., 2020. Continuum car-following model of capacity drop at sag and tunnel bottlenecks. Transportation Research Part C 113, https://doi.org/10.1016/j.trc.2019.05.012

2019

  • van Essen, J.T., Correia, G.H.A., 2019. Exact Formulation and Comparison Between the User Optimum and System Optimum Solution for Routing Privately Owned Automated Vehicles. IEEE Transactions on Intelligent Transportation Systems 20, 4567–4578. https://doi.org/10.1109/TITS.2018.2889290
  • Santos, G.G.D., de Almeida Correia, G.H., 2019. Finding the relevance of staff-based vehicle relocations in one-way carsharing systems through the use of a simulation-based optimization tool. Journal of Intelligent Transportation Systems 23, 583–604. https://doi.org/10.1080/15472450.2019.1578108
  • Molnar, G., Correia, G.H. de A., 2019. Long-term vehicle reservations in one-way free-floating carsharing systems: A variable quality of service model. Transportation Research Part C: Emerging Technologies 98, 298–322. 
    https://doi.org/10.1016/j.trc.2018.11.017
  • Correia, G.H. de A., Looff, E., van Cranenburgh, S., Snelder, M., van Arem, B., 2019. On the impact of vehicle automation on the value of travel time while performing work and leisure activities in a car: Theoretical insights and results from a stated preference survey. Transportation Research Part A: Policy and Practice 119, 359–382. 
    https://doi.org/10.1016/j.tra.2018.11.016
  • Wang, S., Correia, G.H. de A., Lin, H.X., 2019. Exploring the Performance of Different On-Demand Transit Services Provided by a Fleet of Shared Automated Vehicles: An Agent-Based Model. Journal of Advanced Transportation 2019, 1–16. https://doi.org/10.1155/2019/7878042
  • Pudāne, B., Correia, G., 2020. On the impact of vehicle automation on the value of travel time while performing work and leisure activities in a car: Theoretical insights and results from a stated preference survey – A comment. Transportation Research Part A: Policy and Practice 132, 324–328. https://doi.org/10.1016/j.tra.2019.11.019
  • Ashkrof, P., Homem de Almeida Correia, G., Cats, O., van Arem, B., 2019. Impact of Automated Vehicles on Travel Mode Preference for Different Trip Purposes and Distances. Transportation Research Record: Journal of the Transportation Research Board 2673, 607–616. https://doi.org/10.1177/0361198119841032
  • Ali, Y., Zheng, Z., Haque, M. M., & Wang, M. 2019. A game theory-based approach for modelling mandatory lane-changing behaviour in a connected environment. Transportation research part C: emerging technologies, 106, 220-242. https://doi.org/10.1016/j.trc.2019.07.011
  • Zhou, Y., Wang, M., Ahn, S. 2019 Distributed Model Predictive Control Approach for Cooperative Car-Following with Guaranteed Local and String Stability. Transportation Research Part B: Methodological, 128, 69-86. 
    https://doi.org/10.1016/j.trb.2019.07.001
  • Jiang, H., Hu, J., Park, B. B., Wang, M., & Zhou, W. 2019. An extensive investigation of an eco-approach controller under a partially connected and automated vehicle environment. Sustainability, 11(22), 6319.
    https://doi.org/10.3390/su11226319
  • Goñi-Ros, B., Schakel, W. J., Papacharalampous, A. E., Wang, M., Knoop, V. L., Sakata, I., van Arem, B. & Hoogendoorn, S. P. 2019. Using advanced adaptive cruise control systems to reduce congestion at sags: An evaluation based on microscopic traffic simulation. Transportation Research Part C: Emerging Technologies, 102, 411-426. https://doi.org/10.1016/j.trc.2019.02.021
  • Xiong, X., Wang, M., Cai, Y., Chen, L, Farah, H., Hagenzieker, M. 2019 A forward collision avoidance algorithm based on driver braking behavior. Accident Analysis & Prevention, 129, 30-43. 
    https://doi.org/10.1016/j.aap.2019.05.004
  • Wang, M. , van Maarseveen, S., Tool, O., Happee, R., & van Arem, B. Benefits and risks of truck platooning on freeway operations near entrance ramp. Transportation Research Record, 2019. 
    https://doi.org/10.1177/0361198119842821
  •  Knoop, V. L., Wang, M., Wilmink, I., Hoedemaeker, D. M., Maaskant, M., & Van der Meer, E. J. 2019. Platoon of sae level-2 automated vehicles on public roads: Setup, traffic interactions, and stability. Transportation Research Record, 2673(9), 311-322. https://doi.org/10.1177/0361198119845885
  • Liu, M., Wang, M., Hoogendoorn, S.P.. 2019 An optimal platoon trajectory planning approach at arterials. Transportation Research Record, https://doi.org/10.1177/0361198119847474
  • Kan, X. D., Xiao, L., Liu, H., Wang, M., Schakel, W. J., Lu, X. Y., van Arem, B., Shladover, S. & Ferlis, R. A. 2019. Cross-comparison and calibration of two microscopic traffic simulation models for complex freeway corridors with dedicated lanes. Journal of Advanced Transportation, 2019. https://doi.org/10.1155/2019/8618476
  • Ma, W., Zou, L., An, K., Gartner, N. H., & Wang, M. 2019. A partition-enabled multi-mode band approach to arterial traffic signal optimization. IEEE Transactions on Intelligent Transportation Systems, 20(1), 313-322. 
    https://doi.org/10.1109/TITS.2018.2815520

2018

  • Huang, K., Correia, G.H.D.A., An, K., 2018. Solving the station-based one-way carsharing network planning problem with relocations and non-linear demand. Transportation Research Part C: Emerging Technologies 90.
    https://doi.org/10.1016/j.trc.2018.02.020
  • Groenendijk, L., Rezaei, J., Correia, G., 2018. Incorporating the travellers’ experience value in assessing the quality of transit nodes: A Rotterdam case study. Case Studies on Transport Policy 6, 564–576. 
    https://doi.org/10.1016/j.cstp.2018.07.007
  • Wang, Y., Correia, G.H.D.A., van Arem, B., Timmermans, H.J.P.H., 2018. Understanding travellers’ preferences for different types of trip destination based on mobile internet usage data. Transportation Research Part C: Emerging Technologies 90. https://doi.org/10.1016/j.trc.2018.03.009
  • Liang, X., Homem de Almeida Correia, G., van Arem, B., 2018. Applying a Model for Trip Assignment and Dynamic Routing of Automated Taxis with Congestion: System Performance in the City of Delft, The Netherlands. Transportation Research Record: Journal of the Transportation Research Board 2672, 588–598. 
    https://doi.org/10.1177/0361198118758048
  • Nieuwenhuijsen, J., Correia, G.H.D.A.G.H. de A., Milakis, D., van Arem, B., van Daalen, E., 2018. Towards a quantitative method to analyze the long-term innovation diffusion of automated vehicles technology using system dynamics. Transportation Research Part C: Emerging Technologies 86, 300–327.
    https://doi.org/10.1016/j.trc.2017.11.016
  • Winter, K., Cats, O., Correia, G., van Arem, B., 2018. Performance analysis and fleet requirements of automated demand-responsive transport systems as an urban public transport service. International Journal of Transportation Science and Technology 7, 151–167. https://doi.org/10.1016/j.ijtst.2018.04.004
  • Wang, M. 2018. Infrastructure assisted adaptive driving to stabilise heterogeneous vehicle strings. Transportation Research Part C: Emerging Technologies, 2018, 91, 276-295. https://doi.org/10.1016/j.trc.2018.04.010
  • Xiao, L, Wang, M., Schakel, W., & van Arem, B. 2018. Unravelling effects of cooperative adaptive cruise control deactivation on traffic flow characteristics at merging bottlenecks. Transportation Research Part C: Emerging Technologies, 2018, 96, 380 – 397. https://doi.org/10.1016/j.trc.2018.10.008
  • Shu, Y., Daamen, W., Ligteringen, H., Wang, M., & Hoogendoorn, S. 2018. Calibration and validation for the vessel maneuvering prediction (VMP) model using AIS data of vessel encounters. Ocean Engineering, 169, 529-538. 
    https://doi.org/10.1016/j.oceaneng.2018.09.022
  • Chen, N., Wang, M., Alkim, T., & van Arem, B. 2018. A robust longitudinal control strategy of platoons under model uncertainties and time delays. Journal of Advanced Transportation, 2018. https://doi.org/10.1155/2018/9852721
  • Wang, M., Hoogendoorn, S. P., Daamen, W., van Arem, B., Shyrokau, B., & Happee, R. 2018. Delay-compensating strategy to enhance string stability of adaptive cruise controlled vehicles. Transportmetrica B: Transport Dynamics, 6(3), 211-229. https://doi.org/10.1080/21680566.2016.1266973

2017

  • Vasconcelos, A.S., Martinez, L.M., Correia, G.H.A., Guimarães, D.C., Farias, T.L., 2017. Environmental and financial impacts of adopting alternative vehicle technologies and relocation strategies in station-based one-way carsharing: An application in the city of Lisbon, Portugal. Transportation Research Part D: Transport and Environment 57, 350–362. https://doi.org/10.1016/j.trd.2017.08.019
  • Wang, Y., Correia, G.H. de A., de Romph, E., Timmermans, H.J.P.H., 2017. Using metro smart card data to model location choice of after-work activities: An application to Shanghai. Journal of Transport Geography 63, 40–47. 
    https://doi.org/10.1016/j.jtrangeo.2017.06.010
  • Scheltes, A., de Almeida Correia, G.H., 2017. Exploring the use of automated vehicles as last mile connection of train trips through an agent-based simulation model: An application to Delft, Netherlands. International Journal of Transportation Science and Technology 6, 28–41. https://doi.org/10.1016/j.ijtst.2017.05.004
  • Müller, J., Correia, G., Bogenberger, K., 2017. An Explanatory Model Approach for the Spatial Distribution of Free-Floating Carsharing Bookings: A Case-Study of German Cities. Sustainability 9, 1290. 
    https://doi.org/10.3390/su9071290
  • Martínez, L.M., Correia, G.H. de A., Moura, F., Mendes Lopes, M., 2017. Insights into carsharing demand dynamics: Outputs of an agent-based model application to Lisbon, Portugal. International Journal of Sustainable Transportation 11, 148–159. https://doi.org/10.1080/15568318.2016.1226997
  • Jiang, H., Hu, J., An, S., Wang, M., & Park, B. B. 2017. Eco approaching at an isolated signalized intersection under partially connected and automated vehicles environment. Transportation Research Part C: Emerging Technologies, 79, 290-307. https://doi.org/10.1016/j.trc.2017.04.001
  • Mullakkal-Babu, F. A., Wang, M., Farah, H., van Arem, B., & Happee, R. 2017. Comparative assessment of safety indicators for vehicle trajectories on highways. Transportation Research Record, 2659(1), 127-136. 
    https://doi.org/10.3141%2F2659-14
  • Xiao, L., Wang, M., & van Arem, B. 2017. Realistic car-following models for microscopic simulation of adaptive and cooperative adaptive cruise control vehicles. Transportation Research Record, 2623(1), 1-9.
    https://doi.org/10.3141/2623-01
  • Soriguera, F., Martínez, I., Sala, M., and Menendez, M., 2017. Effects of low speed limits on freeway traffic flow. Transportation Research Part C 77, https://doi.org/10.1016/j.trc.2017.01.024

2016

  • Winter, K., Cats, O., Correia, G.H. de A., van Arem, B., 2016. Designing an Automated Demand-Responsive Transport System: Fleet Size and Performance Analysis for a Campus–Train Station Service. Transportation Research Record: Journal of the Transportation Research Board 2542, 75–83. https://doi.org/10.3141/2542-09
  • Milakis, D., Snelder, M., van Arem, B., van Wee, B., Correia, C.H. de A., 2017. Development and transport implications of automated vehicles in the Netherlands: scenarios for 2030 and 2050. European Journal of Transport and Infrastructure Research 17, 63–85. https://doi.org/10.18757/ejtir.2017.17.1.3180
  • Liang, X., Correia, G.H. de A., van Arem, B., 2016. Optimizing the service area and trip selection of an electric automated taxi system used for the last mile of train trips. Transportation Research Part E: Logistics and Transportation Review 93, 115–129. https://doi.org/10.1016/j.tre.2016.05.006
  • Correia, G.H. de A., van Arem, B., 2016. Solving the User Optimum Privately Owned Automated Vehicles Assignment Problem (UO-POAVAP): A model to explore the impacts of self-driving vehicles on urban mobility. Transportation Research Part B: Methodological 87, 64–88. https://doi.org/10.1016/j.trb.2016.03.002
  • Yap, M.D., Correia, G., van Arem, B., 2016. Preferences of travellers for using automated vehicles as last mile public transport of multimodal train trips. Transportation Research Part A: Policy and Practice 94, 1–16. 
    https://doi.org/10.1016/j.tra.2016.09.003
  • Wang, M., Daamen, W., Hoogendoorn, S. P., & van Arem, B. 2016. Cooperative car-following control: Distributed algorithm and impact on moving jam features. IEEE Transactions on Intelligent Transportation Systems, 17(5), 1459-1471. https://doi.org/10.1109/TITS.2015.2505674  
  • Hu, J., Shao, Y., Sun, Z., Wang, M., Bared, J., & Huang, P. 2016. Integrated optimal eco-driving on rolling terrain for hybrid electric vehicle with vehicle-infrastructure communication. Transportation Research Part C: Emerging Technologies, 68, 228-244. https://doi.org/10.1016/j.trc.2016.04.009
  • Wang, M., Daamen, W., Hoogendoorn, S. P., & van Arem, B. 2016. Connected variable speed limits control and car-following control with vehicle-infrastructure communication to resolve stop-and-go waves. Journal of Intelligent Transportation Systems, 20(6), 559-572. https://doi.org/10.1080/15472450.2016.1157022

2015

  • Jorge, D., Molnar, G., de Almeida Correia, G.H., 2015. Trip pricing of one-way station-based carsharing networks with zone and time of day price variations. Transportation Research Part B: Methodological 81, 461–482. 
    https://doi.org/10.1016/j.trb.2015.06.003
  • Demissie, M.G., Correia, G., Bento, C., 2015. Analysis of the pattern and intensity of urban activities through aggregate cellphone usage. Transportmetrica A: Transport Science 11. 
    https://doi.org/10.1080/23249935.2015.1019591
  • Cavadas, J., Correia, G., Gouveia, J., 2015. A MIP model for locating slow-charging stations for electric vehicles in urban areas accounting for driver tours. Transportation Research Part E: Logistics and Transportation Review 75, 188–201. https://doi.org/10.1016/j.tre.2014.11.005
  • Jorge, D., Barnhart, C., Correia, G., 2015. Assessing the viability of enabling a round-trip carsharing system to accept one-way trips: Application to Logan Airport in Boston. Transportation Research Part C: Emerging Technologies 56, 359–372. https://doi.org/10.1016/j.trc.2015.04.020
  • Wang, M., Hoogendoorn, S. P., Daamen, W., van Arem, B., & Happee, R. 2015. Game theoretic approach for predictive lane-changing and car-following control. Transportation Research Part C: Emerging Technologies, 58, 73-92. https://doi.org/10.1016/j.trc.2015.07.009

2014

  • Martinez, L.M., Correia, G.H.A., Viegas, J.M., 2014. An agent-based simulation model to assess the impacts of introducing a shared-taxi system: an application to Lisbon (Portugal). Journal of Advanced Transportation 49, 475–495. https://doi.org/10.1002/atr.1283
  • Jorge, D., Correia, G.H.A., Barnhart, C., 2014. Comparing Optimal Relocation Operations With Simulated Relocation Policies in One-Way Carsharing Systems. IEEE Transactions on Intelligent Transportation Systems 15, 1667–1675. https://doi.org/10.1109/TITS.2014.2304358
  • Correia, G., Gonçalves, R.F., 2014. Optimizing the Use of Electric Vehicles in a Regional Car Rental Fleet. Transportation Research Record: Journal of the Transportation Research Board 2454, 76–83. 
    https://doi.org/10.3141/2454-10
  • Correia, G.H.D.A., Jorge, D.R., Antunes, D.M., 2014. The Added Value of Accounting For Users’ Flexibility and Information on the Potential of a Station-Based One-Way Car-Sharing System: An Application in Lisbon, Portugal. Journal of Intelligent Transportation Systems 18, 299–308. 
    https://doi.org/10.1080/15472450.2013.836928
  • Wang, M., Daamen, W., Hoogendoorn, S. P., & van Arem, B. 2014. Rolling horizon control framework for driver assistance systems. Part I: Mathematical formulation and non-cooperative systems. Transportation research part C: emerging technologies, 40, 271-289. https://doi.org/10.1016/j.trc.2013.11.023
  • Wang, M., Daamen, W., Hoogendoorn, S. P., & van Arem, B. 2014. Rolling horizon control framework for driver assistance systems. Part II: Cooperative sensing and cooperative control. Transportation research part C: emerging technologies, 40, 290-311. https://doi.org/10.1016/j.trc.2013.11.024
  • Wang, M., Daamen, W., Hoogendoorn, S., & Van Arem, B. 2014. Potential impacts of ecological adaptive cruise control systems on traffic and environment. IET Intelligent Transport Systems, 8(2), 77-86. 
    https://doi.org/10.1049/iet-its.2012.0069

2013

  • Demissie, M.G., de Almeida Correia, G.H., Bento, C., 2013. Intelligent road traffic status detection system through cellular networks handover information: An exploratory study. Transportation Research Part C: Emerging Technologies 32, 76–88. https://doi.org/10.1016/j.trc.2013.03.010
  • Demissie, M.G., Correia, G.H.D.A., Bento, C., 2013. Exploring cellular network handover information for urban mobility analysis. Journal of Transport Geography 31, 164–170. https://doi.org/10.1016/j.jtrangeo.2013.06.016
  • Jorge, D., Correia, G., 2013. Carsharing systems demand estimation and defined operations: A literature review. European Journal of Transport and Infrastructure Research 13. https://doi.org/10.18757/ejtir.2013.13.3.2999
  • Correia, G.H., de Abreu e Silva, J., Viegas, J.M., 2013. Using latent attitudinal variables estimated through a structural equations model for understanding carpooling propensity. Transportation Planning and Technology 36, 499–519. https://doi.org/10.1080/03081060.2013.830894
  • Wang, M., Treiber, M., Daamen, W., Hoogendoorn, S. P., & van Arem, B. 2013. Modelling supported driving as an optimal control cycle: Framework and model characteristics. Transportation Research Part C: Emerging Technologies, 36, 547-563. https://doi.org/10.1016/j.trc.2013.06.012

2012

  • Correia, G., Antunes, A.P., 2012. Optimization approach to depot location and trip selection in one-way carsharing systems. Transportation Research Part E: Logistics and Transportation Review 48, 233–247. 
    https://doi.org/10.1016/j.tre.2011.06.003
  • Hoogendoorn, S., Hoogendoorn, R., Wang, M., & Daamen, W. 2012. Modeling driver, driver support, and cooperative systems with dynamic optimal control. Transportation research record, 2316(1), 20-30. 
    https://doi.org/10.3141/2316-03

2011

  • Correia, G., Viegas, J.M., 2011. Carpooling and carpool clubs: Clarifying concepts and assessing value enhancement possibilities through a Stated Preference web survey in Lisbon, Portugal. Transportation Research Part A: Policy and Practice 45, 81–90. https://doi.org/10.1016/j.tra.2010.11.001
  • Correia, G.H. de A., Silva, A.B., 2011. Setting Speed Limits on Rural Two-Lane Highways by Modeling the Relationship between Expert Judgment and Measurable Roadside Characteristics. Journal of Transportation Engineering 137, 184–192. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000210
  • Wang, M., Daamen, W., Hoogendoorn, S., & Van Arem, B. 2011. Estimating acceleration, fuel consumption, and emissions from macroscopic traffic flow data. Transportation research record, 2260(1), 123-132. 
    https://doi.org/10.3141/2260-14

2010

  • Correia, G., Viegas, J.M., 2010. Applying a structured simulation-based methodology to assess carpooling time–space potential. Transportation Planning and Technology 33, 515–540. 
    https://doi.org/10.1080/03081060.2010.505053

2009

  • Wang, Y., Correia, G.H. de A., van Arem, B., 2019. Relationships between mobile phone usage and activity-travel behavior: A review of the literature and an example, in: Ben-Elia, E. (Ed.), Advances in Transport Policy and Planning. Elsevier, pp. 81–105. https://doi.org/10.1016/bs.atpp.2019.08.001
  • Correia, G.H. de A., Milakis, D., van Arem, B., Hoogendoorn, R., 2016. Vehicle automation and transport system performance, in: Bliemer, M., Mulley, C., Moutou, C. (Eds.), Handbook on Transport and Urban Planning in the Developed World. Edward Elgar Publishing, Cheltenham, UK, pp. 498–516. https://doi.org/10.4337/9781783471393

2020

  • Boers, L., Atasoy, B., Correia, G., Negenborn, R.R., 2020. The Multi-period Petrol Station Replenishment Problem: Formulation and Solution Methods, in: Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). pp. 600–615. https://doi.org/10.1007/978-3-030-59747-4_39
  • Wang, S., Almeida Correia, G.H. de, Lin, H.X., 2020. Effects of Coordinated Formation of Vehicle Platooning in a Fleet of Shared Automated Vehicles: An Agent-based model. Transportation Research Procedia 47, 377–384. https://doi.org/10.1016/j.trpro.2020.03.112

2018

  • Chen, N., Wang, M., Alkim, T., & Van Arem, B. 2018. A Flexible Strategy for Efficient Merging Maneuvers of Connected Automated Vehicles. In CICTP 2018: Intelligence, Connectivity, and Mobility (pp. 46-55). https://doi.org/10.1061/9780784481523.005

2017

  • Liang, X., de Almeida Correia, G.H., van Arem, B., 2017. An optimization model for vehicle routing of automated taxi trips with dynamic travel times. Transportation Research Procedia 27, 736–743. https://doi.org/10.1016/j.trpro.2017.12.045
  • Conceição, L., Correia, G., Tavares, J.P., 2017. The deployment of automated vehicles in urban transport systems: a methodology to design dedicated zones. Transportation Research Procedia 27, 230–237. https://doi.org/10.1016/j.trpro.2017.12.025
  • Wang, M., Li, H., Gao, J., Huang, Z., Li, B., & van Arem, B. 2017. String stability of heterogeneous platoons with non-connected automated vehicles. In 2017 IEEE 20th international conference on intelligent transportation systems (ITSC) (pp. 1-8). IEEE. doi.org10.1109/ITSC.2017.8317792

2016

  • Mullakkal-Babu, F. A., Wang, M., van Arem, B., & Happee, R. 2016. Design and analysis of full range adaptive cruise control with integrated collision a voidance strategy. In 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC) (pp. 308-315). IEEE. doi.org10.1109/ITSC.2016.7795572

2015

  • Yap, M.D., Correia, G., Van Arem, B., 2015. Valuation of travel attributes for using automated vehicles as egress transport of multimodal train trips, in: Transportation Research Procedia. https://doi.org/10.1016/j.trpro.2015.09.096
  • Santos, G., Correia, G., 2015. A MIP model to optimize real time maintenance and relocation operations in one-way carsharing systems, in: Transportation Research Procedia. https://doi.org/10.1016/j.trpro.2015.09.088
  • Santos, B.F., Correia, G., Kroesen, M., 2015. Editorial. Transportation Research Procedia 10, 1–2. https://doi.org/10.1016/j.trpro.2015.09.046
  • Papacharalampous, A. E., Wang, M., Knoop, V. L., Ros, B. G., Takahashi, T., Sakata, I., van Arem, B. & Hoogendoorn, S. P. 2015 Mitigating congestion at sags with adaptive cruise control systems. In 2015 IEEE 18th International Conference on Intelligent Transportation Systems (pp. 2451-2457). IEEE.https://doi.org/10.1109/ITSC.2015.395

2014

  • Lopes, M.M., Martinez, L.M., Correia, G.H.D.A., 2014. Simulating carsharing operations through agent-based modelling: An application to the city of Lisbon, Portugal, in: Transportation Research Procedia. https://doi.org/10.1016/j.trpro.2014.10.060
  • Cavadas, J., Correia, G., Gouveia, J., 2014. Electric Vehicles Charging Network Planning, in: Advances in Intelligent Systems and Computing. pp. 85–100. https://doi.org/10.1007/978-3-319-04630-3_7

2013

  • Hegyi, A., Netten, B. D., Wang, M., Schakel, W., Schreiter, T., Yuan, Y., van Arem, B. & Alkim, T. 2013. A cooperative system based variable speed limit control algorithm against jam waves-an extension of the SPECIALIST algorithm. In 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013) (pp. 973-978). IEEE. doi.org10.1109/ITSC.2013.6728358

2012

  • Wang, M., Daamen, W., Hoogendoorn, S. P., & van Arem, B. 2012. Driver assistance systems modeling by model predictive control. In 2012 15th International IEEE Conference on Intelligent Transportation Systems (pp. 1543-1548). IEEE. doi.org10.1109/ITSC.2012.6338824
  • Wang, M., Hoogendoorn, S. P., Daamen, W., Hoogendoorn, R. G., & van Arem, B. 2012. Driver support and cooperative systems control design: Framework and preliminary results. In 2012 American Control Conference (ACC) (pp. 5751-5756). IEEE. doi.org10.1109/ACC.2012.6314666

 

PHD's

  • Yihong Wang. 2021. “Modeling Human Spatial Behavior through Big Mobility Data”. Delft University of Technology. Defence date: 23 of June 2021.
  • Xiao Liang. “Automated taxi systems planning and operations”. Department of Transport and Planning. Faculty of Civil Engineering and Geosciences. TU Delft. Defence date: 30 of November, 2019.

Master students

  • Debora Kole. 2022. “The potential effects of parking measures and shared services on the willingness to reduce car ownership”. Delft University of Technology. Transport Infrastructure and Logistics Master.
  • Stavros Xanthopoulos. 2022. “Optimization of the location and capacity of shared multimodal mobility hubs to maximize social welfare”. Delft University of Technology. Civil Engineering Master.
  • Sofia Giasoumi. 2022. “Use of domain knowledge to optimize the performance of an IoT-based waste collection service”. Delft University of Technology. Civil Engineering Master.
  • Mukil Saravanan. 2022. “Modelling Impacts of Mobility Hubs in Residential Areas”. Delft University of Technology. Civil Engineering Master.
  • Renske van t’Veer. 2021. “Vehicle-owners’ intention to use mobility-as-a-service”. Delft University of Technology. Transport Infrastructure and Logistics Master.
  • Davatgari A. 2021. “Location planning for electric charging stations and wireless facilities in the era of autonomous vehicles operations”. Purdue University. Master of Science in Civil Engineering.
  • Marlou Tiesinga. 2021. “A new perspective on residential parking policy: A multiple regression model to explain the visitor parking demand in Dutch urban residential areas”. Delft University of Technology. Transport Infrastructure and Logistics Master.
  • Jyotsna Singh. 2021. “Departure Time Change to Avoid Crowd in Trains: A stated Choice Experiment Study in the Netherlands in a Pandemic Context”. Delft University of Technology. Transport Infrastructure and Logistics Master.
  • Vinicius Cruz. 2021. “An activity-based modeling approach to assess the effects of activity-travel behavior changes and in-home activities on mobility: estimations based on different stages of the Covid-19 pandemic in the Rotterdam-The Hague Metropolitan Area”. Delft University of Technology. Transport Infrastructure and Logistics Master.
  • Koen Blad. 2021. “Developing a methodology to determine the potential of areas for regional mobility hubs”. Delft University of Technology. Transport Infrastructure and Logistics Master.
  • Mathijs Franken. 2021. “Effects of e-mobility hubs in residential areas on car use and ownership”. Delft University of Technology. Transport Infrastructure and Logistics Master.
  • Pieter Bouwstra. 2020. “Using stochastic and dynamic routing models to improve the performance of an e-grocer’s delivery service”. Delft University of Technology. Transport Infrastructure and Logistics Master and Mechanical Engineering Master.
  • Dawei Fu. 2020. “Optimization model to upgrade the public charging network of electric vehicles”. Delft University of Technology. Construction Management Engineering Master.
  • Theo Liu. 2020. “A method to design on-demand rail services”. Delft University of Technology. Civil Engineering Master.
  • Dawn Spruijtenburg. 2020. “A fast network level assignment model for new mobility: implementing a new assignment model in the New Mobility Modeller”. Delft University of Technology. Transport Infrastructure and Logistics Master.
  • Luke Boers. 2019. “Optimisation methods for the multi-period petrol station replenishment problem: a case study at AMCS”. Delft University of Technology. Transport Infrastructure and Logistics Master.
  • Jin Yan. 2019. “Platform-based cooperation: a cooperative PDPTW in the case of Quicargo”. Delft University of Technology. Transport Infrastructure and Logistics Master.
  • Helia Jamshidi. 2019. “Dynamic planning for recharging a fleet of shared electric taxies”. Delft University of Technology. Civil Engineering Master.
  • Maya ter Laag. 2019. “Modeling urban freight transport in Europe: A case study of the Groot-Rijnmond urban area”. Delft University of Technology. Transport Infrastructure and Logistics Master.
  • Charlotte van der Berg. 2019. “The effect of a low minimum parking requirement in combination with carsharing on the use of carsharing and car ownership”. Delft University of Technology. Transport Infrastructure and Logistics Master.
  • Ioanna Tsakalakidou. 2019. “Assignment of walking trips to pedestrian network in the context of the 4-steps travel demand model”. Delft University of Technology. Geomatics for the built environment Master.
  • Sanne van der Mheen. 2019. “The required spatial area of a SAV-system for the last mile trip at railway stations”. Delft University of Technology. Civil Engineering Master.
  • Martijn Stevens. 2019. “Autonomous Mobility on-Demand in urban areas: a Rotteram-Zuid case study”. Delft University of Technology. Civil Engineering Master.
  • Sangho Lee. 2019. “Estimating Mutual Effects of Interaction Between an Automated Vehicle And Bicycle Traffic Using PreScan-Vissim Integrated Co-Simulation Model”. Delft University of Technology. Civil Engineering Master.
  • Irene Overtoom. 2018. “Assessing the impacts of shared and autonomous vehicles on urban traffic: a simulation approach”. Delft University of Technology. Transport Infrastructure and Logistics Master.
  • Sebastiaan Toen. 2018. “A behavioral shipment‐based model of freight tour formation”. Delft University of Technology. Transport Infrastructure and Logistics Master.
  • Martijn Legene. 2018. “Transportation and Spatial impact of automated driving in urban areas”. Delft University of Technology. Transport Infrastructure and Logistics Master.
  • Nicolas Guillaume. 2018. “Finding the viability of using an automated guided vehicle taxiing system for aircraft”. Delft University of Technology. Master in Aerospace Engineering.
  • Martijn Hollestele. 2018. “Automated Driving: Driving Urban Development?”. Delft University of Technology. Civil Engineering Master.
  • Anne Solomon van der Veen. 2018. “Applying Fairness to Planning Practice: Operationalising Equitable Transport Planning for the City of Rotterdam”. Delft University of Technology. Transport Infrastructure and Logistics Master.
  • Luc Meex. 2017. “Feasibility study of the City Coaster: A transport innovation to improve the accessibility of Rotterdam – The Hague Airport”. Delft University of Technology. Transport Infrastructure and Logistics Master.
  • Hanna Ratilainen. 2017. “Mobility as a service: exploring consumer preferences for MaaS Subscription Packages Using a Stated Choice Experiment”. Delft University of Technology. Transport Infrastructure and Logistics Master.
  • Erwin de Loof. 2017. “Value of travel time changes as a result of vehicle automation: a case study in the Netherlands”. Delft University of Technology. Transport Infrastructure and Logistics Master.
  • Mathieu Beek. 2016. “Modeling one-way station-based carsharing”. Delft University of Technology. Civil Engineering Master. Collaboration with PTV Software.
  • Simon Knepper. 2016. “A validation framework for mobile phone data for Transport Planning”. Delft University of Technology. Transport Infrastructure and Logistics Master.
  • Mark van Doorne. 2015. “Adapting Automated People Mover Capacity to Real-Time Demand via Model-Based Predictive Control”. Delft University of Technology. Transport Infrastructure and Logistics Master.
  • Aliki Tsalgatidou. 2015. “Regional scanning for automated vehicles implementation using omnitrans”. Delft University of Technology. Transport Infrastructure and Logistics Master.
  • Arthur Scheltes. 2015. “Agent-based simulation of automated vehicles as an egress mode”. Delft University of Technology. Civil Engineering Master.
  • Konstanze Winter. “Development and Application of a Method to Design a Demand-Responsive Service Operated by Fully Automated Vehicles”. Delft University of Technology. Civil Engineering Master.
  • Louise Hamilton. 2015. “Estimating the demand for automated vehicles as an egress mode in the city of Rotterdam”. Delft University of Technology. Civil Engineering Master.
  • Yihong Wang. 2015. “National and Regional Road Network Optimisation for Senegal Using Mobile Phone Data”. Delft University of Technology. Civil Engineering Master.
  • Michael Bastiani. 2015. “Integrating Discrete Choice modeling into System Dynamics for Renewable energy market penetration assessment”. Delft University of Technology. Transport Infrastructure and Logistics Master.
  • Lizet Krabbenborg. 2015. “Accessibility analysis of rail stations: identifying poor coverage”. Delft University of Technology. Transport Infrastructure and Logistics Master.
  • Jurgen Nieuwenhuijsen. 2015. “A System Dynamics model for automated driving scenario development”. Delft University of Technology. Transport Infrastructure and Logistics Master.
  • Laura Groenendijk. 2015. “Incorporating the traveler’s experience value in assessing the quality of transit nodes”. Delft University of Technology. Transport Infrastructure and Logistics Master.
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