Travel time reliability-based optimization problem for CAVs dedicated lanes

References

• An, K., and H. K. Lo. 2016. “Two-Phase Stochastic Program for Transit Network Design Under Demand Uncertainty.” Transportation Research Part B: Methodological 84: 157–181. doi:10.1016/j.trb.2015.12.009.
   Google Scholar
• Bagloee, S. A., M. Sarvi, M. Patriksson, and A. Rajabifard. 2017. “A Mixed User-Equilibrium and System-Optimal Traffic Flow for Connected Vehicles Stated as a Complementarity Problem.” Computer-Aided Civil and Infrastructure Engineering 32 (7): 562–580. doi:10.1111/mice.12261.
   Google Scholar
• Bureau of Public Roads. 1964. Traffic Assignment Manual. Washington, DC: U.S. Department of Commerce, Urban Planning Division.
   Google Scholar
• Chen, Z., F. He, Y. Yin, and Y. Du. 2017. “Optimal Design of Autonomous Vehicle Zones in Transportation Networks.” Transportation Research Part B: Methodological 99: 44–61. doi:10.1016/j.trb.2016.12.021.
   Google Scholar
• Chen, Z., F. He, L. Zhang, and Y. Yin. 2016. “Optimal Deployment of Autonomous Vehicle Lanes with Endogenous Market Penetration.” Transportation Research Part C: Emerging Technologies 72: 143–156. doi:10.1016/j.trc.2016.09.013.
   Google Scholar
• Chen, A., H. Yang, H. K. Lo, and W. H. Tang. 1999. “Capacity Related Reliability for Transportation Networks.” Journal of Advanced Transportation 33 (2): 183–200. doi:10.1002/atr.5670330207.
   Google Scholar
• Chen, A., H. Yang, H. K. Lo, and W. H. Tang. 2002. “Capacity Reliability of a Road Network: An Assessment Methodology and Numerical Results.” Transportation Research Part B: Methodological 36 (3): 225–252. doi:10.1016/S0191-2615(00)00048-5.
   Google Scholar
• Chen, A., and Z. Zhou. 2010. “The α-reliable Mean-Excess Traffic Equilibrium Model with Stochastic Travel Times.” Transportation Research Part B: Methodological 44: 493–513. doi:10.1016/j.trb.2009.11.003.
   Google Scholar
• Clark, S., and D. Watling. 2005. “Modelling Network Travel Time Reliability Under Stochastic Demand.” Transportation Research Part B: Methodological 39 (2): 119–140. doi:10.1016/j.trb.2003.10.006.
   Google Scholar
• Fan, W., and R. B. Machemehl. 2006. “Using a Simulated Annealing Algorithm to Solve the Transit Route Network Design Problem.” Journal of Transportation Engineering 132 (2): 122–132. doi:10.1061/(ASCE)0733-947X(2006)132:2(122).
   Google Scholar
• Fenton, L. 1960. “The sum of Lognormal Probability Distributions in Scatter Transmission Systems.” IRE Transactions on Communications Systems 8 (1): 57–67. doi:10.1109/TCOM.1960.1097606.
   Google Scholar
• Friesz, T. L., H. Cho, N. J. Mehta, R. L. Tobin, and G. Anandalingam. 1992. “A Simulated Annealing Approach to the Network Design Problem with Variational Inequality Constraint.” Transportation Science 26 (1): 18–26. doi:10.1287/trsc.26.1.18.
   Google Scholar
• Gao, Z., H. Sum, and L. L. Shan. 2004. “A Continuous Equilibrium Network Design Model and Algorithm for Transit Systems.” Transportation Research Part B: Methodological 38 (3): 235–250. doi:10.1016/S0191-2615(03)00011-0.
   Google Scholar
• Gong, S., and L. Du. 2018. “Cooperative Platoon Control for a Mixed Traffic Flow Including Human Drive Vehicles and Connected and Autonomous Vehicles.” Transportation Research Part B: Methodological 116: 25–61. doi:10.1016/j.trb.2018.07.005.
   Google Scholar
• Isserlis, L. 1918. “On a Formula for the Product-Moment Coefficient of Any Order of a Normal Frequency Distribution in Any Number of Variables.” Biometrika 12 (1/2): 134–139. doi:10.1093/biomet/12.1-2.134.
   Google Scholar
• Lam, W. H. K., H. Shao, and A. Sumalee. 2008. “Modelling Impacts of Adverse Weather Conditions on a Road Network with Uncertainties in Demand and Supply.” Transportation Research Part B: Methodological 42 (10): 890–910. doi:10.1016/j.trb.2008.02.004.
   Google Scholar
• LeBlanc, L. J. 1975. “An Algorithm for the Discrete Network Design Problem.” Transportation Science 9 (3): 183–199. doi:10.1287/trsc.9.3.183.
   Google Scholar
• Levin, M. W., and S. D. Boyles. 2015. “Effects of Autonomous Vehicle Ownership on Trip, Mode, and Route Choice.” Transportation Research Record 2493 (1): 29–38. doi:10.3141/2493-04.
   Google Scholar
• Levin, M. W., and S. D. Boyles. 2016. “A Multiclass Cell Transmission Model for Shared Human and Autonomous Vehicle Roads.” Transportation Research Part C: Emerging Technologies 62: 103–116. doi:10.1016/j.trc.2015.10.005.
   Google Scholar
• Nguyen, S., and C. Dupuis. 1984. “An Efficient Method for Computing Traffic Equilibria in Networks with Asymmetric Transportation Costs.” Transportation Science 18 (2): 185–202. doi:10.1287/trsc.18.2.185.
   Google Scholar
• Pan, T. L., W. H. K. Lam, A. Sumalee, and R. X. Zhong. 2021. “Multiclass multilane model for freeway traffic mixed with connected automated vehicles and regular human-piloted vehicles.” Transportmetrica A: Transport Science 17 (1): 5–33.
   Google Scholar
• Seo, T., and Y. Asakura. 2017. “Endogenous Market Penetration Dynamics of Automated and Connected Vehicles: Transport-Oriented Model and Its Paradox.” Transportation Research Procedia 27: 238–245. doi:10.1016/j.trpro.2017.12.028.
   Google Scholar
• Shao, H., W. H. K. Lam, and M. L. Tam. 2006. “A Reliability-Based Stochastic Traffic Assignment Model for Network with Multiple User Classes Under Uncertainty in Demand.” Networks and Spatial Economics 6 (3–4): 173–204. doi:10.1007/s11067-006-9279-6.
   Google Scholar
• Sheffi, Y. 1985. Urban Transportation Networks: Equilibrium Analysis with Mathematical Programming Methods. Englewood Cliffs, NJ: Prentice-Hall.
   Google Scholar
• Srinivasan, K. K., A. A. Prakash, and R. Seshadri. 2014. “Finding Most Reliable Paths on Networks with Correlated and Shifted Lognormal Travel Times.” Transportation Research Part B: Methodological 66: 110–128. doi:10.1016/j.trb.2013.10.011.
   Google Scholar
• Sumalee, A., and F. Kurauchi. 2006. “Network Capacity Reliability Analysis Considering Traffic Regulation After a Major Disaster.” Networks and Spatial Economics 6 (3–4): 205–219. doi:10.1007/s11067-006-9280-0.
   Google Scholar
• Sumalee, A., and W. Xu. 2011. “First-Best Marginal Cost Toll for a Traffic Network with Stochastic Demand.” Transportation Research Part B: Methodological 45 (1): 41–59. doi:10.1016/j.trb.2010.04.007.
   Google Scholar
• Tani, R., and K. Uchida. 2018. “A Stochastic User Equilibrium Assignment Model Under Stochastic Demand and Supply Following Lognormal Distributions.” Asian Transport Studies 5 (2): 326–348. doi:10.11175/eastsats.5.326.
   Google Scholar
• Uchida, K. 2014. “Estimating the Value of Travel Time and of Travel Time Reliability in Road Networks.” Transportation Research Part B: Methodological 66: 129–147. doi:10.1016/j.trb.2014.01.002.
   Google Scholar
• Uchida, K. 2015. “Travel Time Reliability Estimation Model Using Observed Link Flows in a Road Network.” Computer-Aided Civil and Infrastructure Engineering 30 (6): 449–463. doi:10.1111/mice.12109.
   Google Scholar
• Uchida, K., A. Sumalee, and H. W. Ho. 2011. “A Stochastic Multimodal Reliable Network Design Problem Under Adverse Weather Conditions.” Journal of Advanced Transportation 47: 512–525. doi:10.1002/atr.
   Google Scholar
• van den Berg, V. A. C., and E. T. Verhoef. 2016. “Autonomous Cars and Dynamic Bottleneck Congestion: The Effects on Capacity, Value of Time and Preference Heterogeneity.” Transportation Research Part B: Methodological 94: 43–60. doi:10.1016/j.trb.2016.08.018.
   Google Scholar
• Wang, J., S. Peeta, and X. He. 2019. “Multiclass Traffic Assignment Model for Mixed Traffic Flow of Human-Driven Vehicles and Connected and Autonomous Vehicles.” Transportation Research Part B: Methodological 126: 139–168. doi:10.1016/j.trb.2019.05.022.
   Google Scholar
• Yang, H. 1998. “Multiple Equilibrium Behaviors and Advanced Traveller Information Systems with Endogenous Market Penetration.” Transportation Research Part B: Methodological 32 (3): 205–218. doi:10.1016/S0191-2615(97)00025-8.
   Google Scholar
• Yang, H., X. Zhang, and Q. Meng. 2007. “Stackelberg Games and Multiple Equilibrium Behaviors on Networks.” Transportation Research Part B: Methodological 41 (8): 841–861. doi:10.1016/j.trb.2007.03.002.
   Google Scholar
• Ye, L., and T. Yamamoto. 2018. “Impact of Dedicated Lanes for Connected and Autonomous Vehicle on Traffic Flow Throughput.” Physica A: Statistical Mechanics and Its Applications 512: 588–597. doi:10.1016/j.physa.2018.08.083.
   Google Scholar
• Zhang, K., and Y. (Marco) Nie. 2018. “Mitigating the Impact of Selfish Routing: An Optimal-Ratio Control Scheme (ORCS) Inspired by Autonomous Driving.” Transportation Research Part C: Emerging Technologies 87: 75–90. doi:10.1016/j.trc.2017.12.011.
   Google Scholar
• Zhang, L., H. Yang, D. Wu, and D. Wang. 2014. “Solving a Discrete Multimodal Transportation Network Design Problem.” Transportation Research Part C: Emerging Technologies 49: 73–86. doi:10.1016/j.trc.2014.10.008.
   Google Scholar
• Zhao, Y., and K. Kockelman. 2002. “The Propagation of Uncertainty Through Travel Demand Models: An Exploratory Analysis.” The Annals of Regional Science 36: 145–163. doi:10.1007/s001680200072.
   Google Scholar
• Zhou, Z., and A. Chen. 2010. “Comparative Analysis of Three User Equilibrium Models Under Stochastic Demand.” Journal of Advanced Transportation 42 (3): 239–263. doi:10.1002/atr.5670420304.
   Google Scholar