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Discrete Dynamics in Nature and Society
Volume 2014 (2014), Article ID 206805, 9 pages
http://dx.doi.org/10.1155/2014/206805
Research Article

Effectiveness of Variable Message Signs on Driving Behavior Based on a Driving Simulation Experiment

MOE Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China

Received 14 November 2013; Accepted 24 January 2014; Published 13 March 2014

Academic Editor: Wuhong Wang

Copyright © 2014 Xuedong Yan and Jiawei Wu. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [5 citations]

The following is the list of published articles that have cited the current article.

  • M. Meng, C. F. Shao, Y. D. Wong, and J. Zhang, “Multimodal Network Equilibrium with Stochastic Travel Times,” Mathematical Problems in Engineering, vol. 2014, pp. 1–8, 2014. View at Publisher · View at Google Scholar
  • Sang Hyuk Lee, and Hye Jin Cho, “A Study on Safety Impacts for VMS Traffic Information,” The Journal of The Korea Institute of Intelligent Transport Systems, vol. 14, no. 1, pp. 22–30, 2015. View at Publisher · View at Google Scholar
  • Rashmi P. Payyanadan, Adam Maus, Fabrizzio A. Sanchez, John D. Lee, Lillian Miossi, Amsale Abera, Jacob Melvin, and Xufan Wang, “Using trip diaries to mitigate route risk and risky driving behavior among older drivers,” Accident Analysis & Prevention, 2016. View at Publisher · View at Google Scholar
  • Mohsen Fallah Zavareh, Amir Reza Mamdoohi, and Trond Nordfjærn, “The effects of indicating rear-end collision risk via variable message signs on traffic behaviour,” Transportation Research Part F: Traffic Psychology and Behaviour, vol. 46, pp. 524–536, 2017. View at Publisher · View at Google Scholar
  • Mauro Dell'Orco, and Mario Marinelli, “Modeling the dynamic effect of information on drivers’ choice behavior in the context of an Advanced Traveler Information System,” Transportation Research Part C: Emerging Technologies, vol. 85, pp. 168–183, 2017. View at Publisher · View at Google Scholar