Stevens M., Correia G., Scheltes A., Van Arem B. 2022. âAn 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 Netherlandsâ. Journal of Transportation Business and Management. https://doi.org/10.1016/j.rtbm.2022.100875
Blad K., Correia G., Nes R., Annema J. 2022. âA methodology to determine suitable locations for regional shared mobility hubs Case Studies on Transport Policyâ. 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. âModeling the Competition Between Multiple Automated Mobility on-Demand Operators: An Agent-Based Approachâ. 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. âA mathematical programming model for optimal management of electric carsharing systems with Vehicle-to-Grid Operationsâ. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2022.133147
Ibraeva A., Correia G., Silva C., Antunes A. 2022. âMobility impacts of a new metro system with Transit-Oriented Development featuresâ. 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. âRide Acceptance Behaviour of Ride-sourcing Driversâ. Transportation Research Part C: Emerging Technologies. Vol. 142. https://doi.org/10.1016/j.trc.2022.103783
Wang S., Correia G., Xiang H. 2022. âAssessing the Potential of the Strategic Formation of Urban Platoons for Shared Automated Vehicle Fleetsâ. Journal of Advanced Transportation. Vol. 2022. https://doi.org/10.1155/2022/1005979
Chang X., Wu J., Correia G., Sun H., Feng Z. 2022. âA cooperative strategy for optimizing vehicle relocations and staff movements in cities where several carsharing companies operate simultaneouslyâ. 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. âLife cycle assessment of shared and private use of automated and electric vehicles on interurban mobilityâ. Applied Energy, 310, 118589. https://doi.org/10.1016/J.APENERGY.2022.118589
CalabrĂČ G., Le Pira M., Giuffrida N.,Inturri G., Ignaccolo M., Correia G. 2022. âFixed-Route vs. Demand-Responsive Transport Feeder Services: An Exploratory Study Using an Agent-Based Modelâ. Journal of Advanced Transportation. 2022, pp. 1-20. https://doi.org/10.1155/2022/8382754
2021
Jin, W.L., MartĂnez, 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
MartĂnez, 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. âeHUBsâIdentifying the potential early and late adopters of shared electric mobility hubsâ. Int. J. Sustain. Transp. 2021 pp. 1â20. https://doi.org/10.1080/15568318.2021.2015493
Le Pira M., Tavasszy L., Correia G., Ignaccolo M., Inturri G. 2021. âOpportunities for integration between Mobility as a Service (MaaS) and freight transport: a conceptual modelâ. 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. âLongitudinal macro-analysis of car-use changes resulting from a TOD-type project: The case of Metro do Porto (Portugal)â. Journal of Transport Geography. Vol. 92. 103036. https://doi.org/10.1016/j.jtrangeo.2021.103036
Santos G. Correia G. 2021. âA flow-based integer Programming approach to design an interurban shared automated vehicle system and assess its financial viabilityâ. 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. âDynamic planning for simultaneous recharging and relocation of shared electric taxies: A sequential MILP approachâ. 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, 36â49. 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, 1â12. 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 â a case study for the city of Rotterdam. Case Studies on Transport Policy 8, 1360â1370. 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 driversâ 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. Pedestriansâ 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, 101â119. 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, 1â30. https://doi.org/10.1080/15568318.2020.1861394
Liang, X., Correia, G.H. de A., An, K., van Arem, B., 2020. Automated taxisâ dial-a-ride problem with ride-sharing considering congestion-based dynamic travel times. Transportation Research Part C: Emerging Technologies 112, 260â281. https://doi.org/10.1016/j.trc.2020.01.024
LegĂȘne, 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 1â9. 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 1â12. 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, 110â130. 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
MartĂnez, 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. MartĂnez, 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, 4567â4578. 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, 583â604. 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, 298â322. 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, 359â382. 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, 1â16. https://doi.org/10.1155/2019/7878042
PudÄne, 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 â A comment. Transportation Research Part A: Policy and Practice 132, 324â328. 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, 607â616. 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 travellersâ experience value in assessing the quality of transit nodes: A Rotterdam case study. Case Studies on Transport Policy 6, 564â576. 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 travellersâ 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, 588â598. 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, 300â327. 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, 151â167. 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 â 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., GuimarĂŁes, 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, 350â362. 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, 40â47. 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, 28â41. https://doi.org/10.1016/j.ijtst.2017.05.004
MĂŒller, 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
MartĂnez, 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, 148â159. 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., MartĂnez, 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 CampusâTrain Station Service. Transportation Research Record: Journal of the Transportation Research Board 2542, 75â83. 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, 63â85. 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, 115â129. 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, 64â88. 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, 1â16. 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, 461â482. 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, 188â201. 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, 359â372. 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, 475â495. 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, 1667â1675. 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, 76â83. 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 Usersâ 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, 299â308. 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, 76â88. 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, 164â170. 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, 499â519. 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, 233â247. 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, 81â90. 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, 184â192. 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 timeâspace potential. Transportation Planning and Technology 33, 515â540. https://doi.org/10.1080/03081060.2010.505053
2009
Correia, G., Viegas, J.M., 2009. A conceptual model for carpooling systems simulation. Journal of Simulation 3, 61â68. https://doi.org/10.1057/jos.2008.4
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. 81â105. 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. 498â516. 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. 600â615. 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, 377â384. 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, 736â743. 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, 230â237. 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
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. 85â100. 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
Yihong Wang. 2021. âModeling Human Spatial Behavior through Big Mobility Dataâ. Delft University of Technology. Defence date: 23 of June 2021.
Xiao Liang. âAutomated taxi systems planning and operationsâ. Department of Transport and Planning. Faculty of Civil Engineering and Geosciences. TU Delft. Defence date: 30 of November, 2019.
Master students
Debora Kole. 2022. âThe potential effects of parking measures and shared services on the willingness to reduce car ownershipâ. Delft University of Technology. Transport Infrastructure and Logistics Master.
Stavros Xanthopoulos. 2022. âOptimization of the location and capacity of shared multimodal mobility hubs to maximize social welfareâ. Delft University of Technology. Civil Engineering Master.
Sofia Giasoumi. 2022. âUse of domain knowledge to optimize the performance of an IoT-based waste collection serviceâ. Delft University of Technology. Civil Engineering Master.
Mukil Saravanan. 2022. âModelling Impacts of Mobility Hubs in Residential Areasâ. Delft University of Technology. Civil Engineering Master.
Renske van tâVeer. 2021. âVehicle-ownersâ intention to use mobility-as-a-serviceâ. Delft University of Technology. Transport Infrastructure and Logistics Master.
Davatgari A. 2021. âLocation planning for electric charging stations and wireless facilities in the era of autonomous vehicles operationsâ. Purdue University. Master of Science in Civil Engineering.
Marlou Tiesinga. 2021. âA new perspective on residential parking policy: A multiple regression model to explain the visitor parking demand in Dutch urban residential areasâ. Delft University of Technology. Transport Infrastructure and Logistics Master.
Jyotsna Singh. 2021. âDeparture Time Change to Avoid Crowd in Trains: A stated Choice Experiment Study in the Netherlands in a Pandemic Contextâ. Delft University of Technology. Transport Infrastructure and Logistics Master.
Vinicius Cruz. 2021. âAn 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 Areaâ. Delft University of Technology. Transport Infrastructure and Logistics Master.
Koen Blad. 2021. âDeveloping a methodology to determine the potential of areas for regional mobility hubsâ. Delft University of Technology. Transport Infrastructure and Logistics Master.
Mathijs Franken. 2021. âEffects of e-mobility hubs in residential areas on car use and ownershipâ. Delft University of Technology. Transport Infrastructure and Logistics Master.
Pieter Bouwstra. 2020. âUsing stochastic and dynamic routing models to improve the performance of an e-grocerâs delivery serviceâ. Delft University of Technology. Transport Infrastructure and Logistics Master and Mechanical Engineering Master.
Dawei Fu. 2020. âOptimization model to upgrade the public charging network of electric vehiclesâ. Delft University of Technology. Construction Management Engineering Master.
Theo Liu. 2020. âA method to design on-demand rail servicesâ. Delft University of Technology. Civil Engineering Master.
Dawn Spruijtenburg. 2020. âA fast network level assignment model for new mobility: implementing a new assignment model in the New Mobility Modellerâ. Delft University of Technology. Transport Infrastructure and Logistics Master.
Luke Boers. 2019. âOptimisation methods for the multi-period petrol station replenishment problem: a case study at AMCSâ. Delft University of Technology. Transport Infrastructure and Logistics Master.
Jin Yan. 2019. âPlatform-based cooperation: a cooperative PDPTW in the case of Quicargoâ. Delft University of Technology. Transport Infrastructure and Logistics Master.
Helia Jamshidi. 2019. âDynamic planning for recharging a fleet of shared electric taxiesâ. Delft University of Technology. Civil Engineering Master.
Maya ter Laag. 2019. âModeling urban freight transport in Europe: A case study of the Groot-Rijnmond urban areaâ. Delft University of Technology. Transport Infrastructure and Logistics Master.
Charlotte van der Berg. 2019. âThe effect of a low minimum parking requirement in combination with carsharing on the use of carsharing and car ownershipâ. Delft University of Technology. Transport Infrastructure and Logistics Master.
Ioanna Tsakalakidou. 2019. âAssignment of walking trips to pedestrian network in the context of the 4-steps travel demand modelâ. Delft University of Technology. Geomatics for the built environment Master.
Sanne van der Mheen. 2019. âThe required spatial area of a SAV-system for the last mile trip at railway stationsâ. Delft University of Technology. Civil Engineering Master.
Martijn Stevens. 2019. âAutonomous Mobility on-Demand in urban areas: a Rotteram-Zuid case studyâ. Delft University of Technology. Civil Engineering Master.
Sangho Lee. 2019. âEstimating Mutual Effects of Interaction Between an Automated Vehicle And Bicycle Traffic Using PreScan-Vissim Integrated Co-Simulation Modelâ. Delft University of Technology. Civil Engineering Master.
Irene Overtoom. 2018. âAssessing the impacts of shared and autonomous vehicles on urban traffic: a simulation approachâ. Delft University of Technology. Transport Infrastructure and Logistics Master.
Sebastiaan Toen. 2018. âA behavioral shipmentâbased model of freight tour formationâ. Delft University of Technology. Transport Infrastructure and Logistics Master.
Martijn Legene. 2018. âTransportation and Spatial impact of automated driving in urban areasâ. Delft University of Technology. Transport Infrastructure and Logistics Master.
Nicolas Guillaume. 2018. âFinding the viability of using an automated guided vehicle taxiing system for aircraftâ. Delft University of Technology. Master in Aerospace Engineering.
Martijn Hollestele. 2018. âAutomated Driving: Driving Urban Development?â. Delft University of Technology. Civil Engineering Master.
Anne Solomon van der Veen. 2018. âApplying Fairness to Planning Practice: Operationalising Equitable Transport Planning for the City of Rotterdamâ. Delft University of Technology. Transport Infrastructure and Logistics Master.
Luc Meex. 2017. âFeasibility study of the City Coaster: A transport innovation to improve the accessibility of Rotterdam â The Hague Airportâ. Delft University of Technology. Transport Infrastructure and Logistics Master.
Hanna Ratilainen. 2017. âMobility as a service: exploring consumer preferences for MaaS Subscription Packages Using a Stated Choice Experimentâ. Delft University of Technology. Transport Infrastructure and Logistics Master.
Erwin de Loof. 2017. âValue of travel time changes as a result of vehicle automation: a case study in the Netherlandsâ. Delft University of Technology. Transport Infrastructure and Logistics Master.
Mathieu Beek. 2016. âModeling one-way station-based carsharingâ. Delft University of Technology. Civil Engineering Master. Collaboration with PTV Software.
Simon Knepper. 2016. âA validation framework for mobile phone data for Transport Planningâ. Delft University of Technology. Transport Infrastructure and Logistics Master.
Mark van Doorne. 2015. âAdapting Automated People Mover Capacity to Real-Time Demand via Model-Based Predictive Controlâ. Delft University of Technology. Transport Infrastructure and Logistics Master.
Aliki Tsalgatidou. 2015. âRegional scanning for automated vehicles implementation using omnitransâ. Delft University of Technology. Transport Infrastructure and Logistics Master.
Arthur Scheltes. 2015. âAgent-based simulation of automated vehicles as an egress modeâ. Delft University of Technology. Civil Engineering Master.
Konstanze Winter. âDevelopment and Application of a Method to Design a Demand-Responsive Service Operated by Fully Automated Vehiclesâ. Delft University of Technology. Civil Engineering Master.
Louise Hamilton. 2015. âEstimating the demand for automated vehicles as an egress mode in the city of Rotterdamâ. Delft University of Technology. Civil Engineering Master.
Yihong Wang. 2015. âNational and Regional Road Network Optimisation for Senegal Using Mobile Phone Dataâ. Delft University of Technology. Civil Engineering Master.
Michael Bastiani. 2015. âIntegrating Discrete Choice modeling into System Dynamics for Renewable energy market penetration assessmentâ. Delft University of Technology. Transport Infrastructure and Logistics Master.
Lizet Krabbenborg. 2015. âAccessibility analysis of rail stations: identifying poor coverageâ. Delft University of Technology. Transport Infrastructure and Logistics Master.
Jurgen Nieuwenhuijsen. 2015. âA System Dynamics model for automated driving scenario developmentâ. Delft University of Technology. Transport Infrastructure and Logistics Master.
Laura Groenendijk. 2015. âIncorporating the travelerâs experience value in assessing the quality of transit nodesâ. Delft University of Technology. Transport Infrastructure and Logistics Master.