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Mathematical Problems in Engineering
Volume 2013, Article ID 408756, 13 pages
http://dx.doi.org/10.1155/2013/408756
Research Article

A Car-Following Model Based on Quantified Homeostatic Risk Perception

1Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control, Beihang University, Beijing 100191, China
2State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China

Received 16 April 2013; Revised 18 September 2013; Accepted 8 October 2013

Academic Editor: Cesar Cruz-Hernandez

Copyright © 2013 Guangquan Lu et al. 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 [10 citations]

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

  • Junjie Zhang, Yunpeng Wang, Guangquan Lu, and Wenmin Long, “Analysis string stability of a new car-following model considering response time,” 2017 13th IEEE Conference on Automation Science and Engineering (CASE), pp. 853–857, . View at Publisher · View at Google Scholar
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  • Liang Li, Guangquan Lu, Yunpeng Wang, and Daxin Tian, “A rear-end collision avoidance system of connected vehicles,” 17th International IEEE Conference on Intelligent Transportation Systems (ITSC), pp. 63–68, . View at Publisher · View at Google Scholar
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  • Liang Zheng, and Zhengbing He, “A new car following model from the perspective of visual imaging,” International Journal Of Modern Physics C, vol. 26, no. 8, 2015. View at Publisher · View at Google Scholar
  • Jianqiang Wang, Jian Wu, Xunjia Zheng, Daiheng Ni, and Keqiang Li, “Driving safety field theory modeling and its application in pre-collision warning system,” Transportation Research Part C: Emerging Technologies, vol. 72, pp. 306–324, 2016. View at Publisher · View at Google Scholar
  • Hexin Lv, Binbin Zhou, Huafeng Chen, Yourong Chen, and Tiaojuan Ren, “A VANET-based real-time rear-end collision warning algorithm,” International Journal of Simulation: Systems, Science and Technology, vol. 17, no. 25, 2016. View at Publisher · View at Google Scholar
  • Piotr Błaszczyk, Wojciech Turek, Krzysztof Cetnarowicz, and Aleksander Byrski, “Urban traffic simulation using credible driver modeling method,” Journal of Intelligent & Fuzzy Systems, vol. 32, no. 2, pp. 1535–1546, 2017. View at Publisher · View at Google Scholar
  • Xiaoxia Xiong, Long Chen, and Jun Liang, “A New Framework of Vehicle Collision Prediction by Combining SVM and HMM,” IEEE Transactions on Intelligent Transportation Systems, vol. 19, no. 3, pp. 699–710, 2018. View at Publisher · View at Google Scholar