Dr.ir. M. (Meng) Wang
Dr. Meng Wang is Assistant Professor (Tenured since 2019) at the Department of Transport & Planning and Co-Director of research lab of Electric and Automated Transport (hEAT lab). He obtained his BSc (2003) in Tsinghua University, MSc (2006) in Research Institute of Highway (RIOH), Ministry of Transport, China and PhD Cum Laude (2014) at TU Delft. From 2006-2009, he worked as Assistant Researcher at National Center for Intelligent Transportation Systems, RIOH. Between 2014 and 2015, he worked as a PostDoc researcher at the Automotive Group at the Department of BioMechanical Engineering in TU Delft.
He serves as Associate Editor for the journal IEEE Transactions of Intelligent Transportation Systems, IET Intelligent Transport System, and Transportmetrica B: Transport Dynamics. He is Guest Editor and Member of the Editorial Advisory Board of Transportation Research Part C, and Guest Editor of IEEE Intelligent Transportation Systems Magazine. Meng is a member of TRB Committee AHB45(3) Traffic Flow Modelling of Connected and Automated Vehicles, IEEE ITS Society Technical Committee on Cooperative Driving, WCTRS Special Interest Group (SIG) C1 Traffic Theory and Modelling. He is Vice President of Europe Chapter of COTA (Chinese Overseas Transportation Association). He is the recipient of the IEEE ITS Society Best PhD Dissertation Award (2015) and IEEE ITSC Best Paper Award (2013), the Chinese Government Award for Outstanding PhD Students Abroad (2013).
His main research interests are sustainable intelligent transportation systems, in particular decision-making and control approaches for cooperative vehicle and traffic systems, traffic flow theory in relation to intelligent vehicles, and green traffic management and vehicle control systems.
He is the responsible lecturer of MSc course CIE5805: Intelligent Vehicles for Safe and Efficient Traffic. He is the admission coordinator of international students in MSc program Transport & Planning.
- CIE5805-18 Intelligent Vehicles for Safe and Efficient Traffic: Design and Assessment
- Admission coordinator of MSc track Transport & Planning
- Duret, A., Wang, M. and Ladino, A. (2019) A Hierarchical Approach For Splitting Truck Platoons Near Network Discontinuities. Transportation Research Part B: Methodological (Podium presentation in ISTTT23). https://doi.org/10.1016/j.trb.2019.04.006
- 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. (2018) Infrastructure assisted adaptive driving to stabilise heterogeneous vehicle strings. Transportation Research Part C: Emerging Technologies, 2018, 91, 276 - 295. (Appeared in journal highlights by the Editor-in-Chief) 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, 98, 380-397. https://doi.org/10.1016/j.trc.2018.10.008
- W. Ma, L. Zou, K. An, N.H. Gartner, and M. Wang. A Partition-Enabled Multi-Mode Band Approach to Arterial Traffic Signal Optimization. IEEE Transactions on Intelligent Transportation Systems. 2018, https://doi.org/10.1109/TITS.2018.2815520
- 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. 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., Hoogendoorn, S. P., Daamen, W., van Arem, B. & Happee, R. Game theoretic approach for predictive lane-changing and car-following control. Transportation Research Part C: Emerging Technologies, 2015, 58, 73 – 92. https://doi.org/10.1016/j.trc.2015.07.009