Author:
Kuncheria Anu,Chan Cy,Laurence Colin,Walker Joan L.,Macfarlane Jane
Funder
Office of Science
Office of Energy Efficiency and Renewable Energy
U.S. Department of Energy
Subject
Management, Monitoring, Policy and Law,Transportation,Automotive Engineering,Civil and Structural Engineering
Reference41 articles.
1. Vulnerability in transport network during critical infrastructure renewal: lessons learned from a dynamic traffic microsimulation model;Alam;Proc. Comput. Sci.,2017
2. Agent-based dynamic traffic assignment with information mixing;Auld;Procedia Computer Science,2019
3. Ashfaq, M., Gu, Z., Waller, S. T., Saberi, M., 2021. Comparing Dynamic User Equilibrium and Non-iterative Stochastic Route Choice in a Simulation-Based Dynamic Traffic Assignment Model: Practical Considerations for Large-Scale Networks. Journal of Advanced Transportation, 2021,e6667335. Retrieved 2022-11-15, from https://www.hindawi.com/journals/jat/2021/6667335/ (Publisher: Hindawi) doi: https://doi.org/10.1155/2021/6667335
4. Ansari Esfeh, M., Kattan, L., Lam, W. H. K., Salari, M., Ansari Esfe, R. (2022). Road network vulnerability analysis considering the probability and consequence of disruptive events: A spatiotemporal incident impact approach. Transportation Research Part C: Emerging Technologies, 136, 103549. Retrieved 2023-03-06, from https://www.sciencedirect.com/science/article/pii/S0968090X21005313 doi: https://doi.org/10.1016/j.trc.2021.103549
5. Behrisch, M., Krajzewicz, D., Wang, Y.-P. (2008). Comparing performance and quality of traffic assignment techniques for microscopic road traffic simulations. Proceedings of DTA 2008.