Impacts of variable message signs on en-route route choice behavior
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DOI: 10.1016/j.tra.2020.07.015
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Cited by:
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- Ivan Tilov & Sylvain Weber, 2020. "Heterogeneity in price elasticity of vehicle kilometers traveled: Evidence from micro-level panel data," IRENE Working Papers 20-12, IRENE Institute of Economic Research.
- Ioannis Politis & Georgios Georgiadis & Aristomenis Kopsacheilis & Anastasia Nikolaidou & Chrysanthi Sfyri & Socrates Basbas, 2023. "A Route Choice Model for the Investigation of Drivers’ Willingness to Choose a Flyover Motorway in Greece," Sustainability, MDPI, vol. 15(5), pages 1-23, March.
- Xie, Jiaohong & Yang, Zhenyu & Lai, Xiongfei & Liu, Yang & Yang, Xiao Bo & Teng, Teck-Hou & Tham, Chen-Khong, 2022. "Deep reinforcement learning for dynamic incident-responsive traffic information dissemination," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 166(C).
- Wang, Qing & Zhao, Wenjing & Ma, Shoufeng & Schonfeld, Paul M. & Zheng, Yue & Xue, Dabin, 2023. "Effects of a price incentive policy on urban rail transit passengers: A case study in Nanjing, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 178(C).
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Keywords
Variable message signs (VMS); VMS contents; VMS formats; Route choice behavior; Decision tree via CHAID; Random-parameter logistic regression model;All these keywords.
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