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Publications
Journal papers
Yuan, H., Li, P., Van Arem, B., Kang, L., Farah, H., & Dong, Y. (2023, September). Safe, Efficient, Comfort, and Energy-saving Automated Driving through Roundabout Based on Deep Reinforcement Learning . In 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC) (pp. 6074-6079). IEEE. Zhang, L., Dong, Y., Farah, H., & van Arem, B. (2023, October). Social-Aware Planning and Control for Automated Vehicles Based on Driving Risk Field and Model Predictive Contouring Control: Driving Through Roundabouts as a Case Study . In 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 3297-3304). IEEE. Farah, H., Olstam, J., & Zheng, Z. (2023). Guest Editorial Introduction to the Special Issue on Deployment of Connected and Automated Vehicles in Mixed Traffic Environment and the Implications on Traffic Safety and Efficiency . IEEE Transactions on Intelligent Transportation Systems, 24(6), 6432-6435. Wang, Y., Farah, H., Yu, R., Qiu, S., & van Arem, B. (2023). Characterizing behavioral differences of autonomous vehicles and human-driven vehicles at signalized intersections based on Waymo Open Dataset . Transportation research record, 2677(11), 324-337. Reddy, N., Hoogendoorn, SP., & Farah, H. (2022). How do the recognizability and driving styles of automated vehicles affect human drivers’ gap acceptance at T- Intersections? . Transportation Research Part F: Traffic Psychology and Behaviour, 90, 451-465. Farah, H., Postigo, I., Reddy, N., Dong, Y., Rydergren, C., Raju, N., & Olstam, J. (2022). Modeling Automated Driving in Microscopic Traffic Simulations for Traffic Performance Evaluations: Aspects to Consider and State of the Practice . IEEE Transactions on Intelligent Transportation Systems . Dong, Y., Patil, S., van Arem, B., & Farah, H. (2022). A hybrid spatial–temporal deep learning architecture for lane detection . Computer-Aided Civil and Infrastructure Engineering,https://doi.org/10.1111/mice.12829 Soni, S., Reddy, N., Tsapi, A., van Arem, B., & Farah, H. (2022). Behavioral adaptations of human drivers interacting with automated vehicles . Transportation research part F: traffic psychology and behaviour, 86, 48-64. https://doi.org/10.1016/j.trf.2022.02.002 Raju, N., Schakel, W. J., Reddy, N., Dong, Y., & Farah, H. (2022). Car-Following Properties of a Commercial Adaptive Cruise Control System-A Pilot Field Test . Transportation Research Record . Raju, N., & Farah, H. (2021). Evolution of Traffic Microsimulation and Its Use for Modeling Connected and Automated Vehicles . Journal of Advanced Transportation , 2021. Schoenmakers, M., Yang, D., & Farah, H. (2021). Car-following behavioural adaptation when driving next to automated vehicles on a dedicated lane on motorways: A driving simulator study in the Netherlands . Transportation research part F: traffic psychology and behaviour , 78 , 119-129. Reddy, N., Farah, H., Huang, Y., Dekker, T., & Van Arem, B. (2020). Operational design domain requirements for improved performance of lane assistance systems: A field test study in The Netherlands . IEEE Open Journal of Intelligent Transportation Systems , 1 , 237-252. Farah, H., Bhusari, S., van Gent, P., Babu, F. A. M., Morsink, P., Happee, R., & van Arem, B. (2020). An Empirical Analysis to Assess the Operational Design Domain of Lane Keeping System Equipped Vehicles Combining Objective and Subjective Risk Measures . IEEE Transactions on Intelligent Transportation Systems. Farah, H., Erkens, S. M., Alkim, T., & van Arem, B. (2018). Infrastructure for automated and connected driving: State of the art and future research directions . In Road Vehicle Automation 4 (pp. 187-197). Springer, Cham.
Conference presentations
Farah, H., Bhusari, S., van Gent, P., Mullakkal Babu, F., Morsink, P., Happee, R., van Arem, B. An Empirical Analysis to Assess the Operational Design Domain of Lane Keeping System Equipped Vehicles Combining Objective and Subjective Risk Measures. Presented at the 99th Transportation Research Board Annual Meeting, January 12-16, 2020, Washington DC, USA. Reddy, N., Farah, H., Dekker, T., Huang, Y., van Arem, B. Road Infrastructure Requirements for Improved Performance of Lane Assistance Systems. Presented at the 99th Transportation Research Board Annual Meeting, January 12-16, 2020, Washington DC, USA. Yang, D., Farah, H., Schoenmakers, M. J., & Alkim , T. (2019). Human drivers behavioural adaptation when driving next to a platoon of automated vehicles on a dedicated lane and implications on ttraffic flow: a driving simulator and microscopic simulation study in the Netherlands. In Proceedings 98th Annual Meeting of the Transportation Research Board, Washington DC, USA [19-00582]
Master Thesis
Impact of improved lane marking properties on the performance of Lane Keeping Assistance systems in varying circumstances . Mathijs den Otter (TU Delft Civil Engineering and Geosciences), 2023.Driving behavior in mixed traffic in combination with variable speed limit . Jitse Wiersma (TU Delft Civil Engineering and Geosciences), 2022.The impact of Connected and Automated Vehicles on highway work zone traffic efficiency and safety . Bart van Leeuwen (TU Delft Civil Engineering and Geosciences), 2021.Scaling of traffic safety indicators using microscopic traffic simulation . Henk Baumfalk (TU Delft Civil Engineering and Geosciences), 2021.Effects of External Human Machine Interfaces on Automated Vehicles' Communicative Interactions With Human Drivers . Nischal Lingam (TU Delft Civil Engineering and Geosciences), 2021.Lane Detection using Spatio-Temporal Attention . Sandeep Patil (TU Delft Mechanical Engineering), 2021.Visibility of Lane Markings for Machine Vision: Assessment of Lane Detection Performance based on Different Lane Marking Properties under Optimal and Adverse Weather and Lighting Condition . Eline van der Kooij (TU Delft Civil Engineering and Geosciences), 2021.Understanding Behavioural Adaptations of Human Drivers interacting with Automated Vehicles . Shubham Soni (TU Delft Civil Engineering and Geosciences), 2020.Road infrastructure requirements for improved performance of lane assistance systems . Nagarjun Reddy (TU Delft Civil Engineering and Geosciences), 2019.A methodology for the assessment of Operational Design Domain of Lane Keeping Assistance system equipped vehicles: The case of Tesla Model S. Shubham Bhusari (TU Delft Civil Engineering and Geosciences), 2018.
