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A comprehensive study of advanced information feedbacks in real-time intelligent traffic systems

Author

Listed:
  • Chen, Bokui
  • Xie, Yanbo
  • Tong, Wei
  • Dong, Chuanfei
  • Shi, Dongmei
  • Wang, Binghong

Abstract

In the intelligent transportation system, an effective feedback strategy is of crucial importance to the improvement of traffic condition and transport capability. Based on the seven previously introduced feedback strategies, a new one is introduced, called vacancy length feedback strategy (VLFS). The simulation results in the symmetrical two-route scenario with two exits suggest that VLFS is the optimal one among all the feedback strategies. It outperforms others in terms of the value, stability, average flux and balance of the vehicle number, and also exceeds others for the convenience of its application in the real traffic condition. The later simulation results in the asymmetrical two-route scenario with one exit also prove that VLFS is the best.

Suggested Citation

  • Chen, Bokui & Xie, Yanbo & Tong, Wei & Dong, Chuanfei & Shi, Dongmei & Wang, Binghong, 2012. "A comprehensive study of advanced information feedbacks in real-time intelligent traffic systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(8), pages 2730-2739.
    • Handle: RePEc:eee:phsmap:v:391:y:2012:i:8:p:2730-2739
    DOI: 10.1016/j.physa.2011.12.032
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    References listed on IDEAS

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    1. Dong, Chuan-Fei & Ma, Xu & Wang, Guan-Wen & Sun, Xiao-Yan & Wang, Bing-Hong, 2009. "Prediction feedback in intelligent traffic systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(21), pages 4651-4657.
    2. Dong, Chuanfei & Ma, Xu & Wang, Binghong & Sun, Xiaoyan, 2010. "Effects of prediction feedback in multi-route intelligent traffic systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(16), pages 3274-3281.
    3. Wahle, Joachim & Bazzan, Ana Lúcia C & Klügl, Franziska & Schreckenberg, Michael, 2000. "Decision dynamics in a traffic scenario," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 287(3), pages 669-681.
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    Citations

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    Cited by:

    1. Wu, Jinchao & Chen, Bokui & Zhang, Kai & Zhou, Jun & Miao, Lixin, 2018. "Ant pheromone route guidance strategy in intelligent transportation systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 591-603.
    2. Wu, Jiaxin & Zhou, Xubing & Peng, Yi & Zhao, Xiaojun, 2022. "Recurrence analysis of urban traffic congestion index on multi-scale," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 585(C).
    3. Cui, Nan & Chen, Bokui & Zhang, Kai & Zhang, Yi & Liu, Xiaotong & Zhou, Jun, 2019. "Effects of route guidance strategies on traffic emissions in intelligent transportation systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 32-44.
    4. Ding, Zhongjun & Chen, Bokui & Zhang, Lele & Jiang, Rui & Wu, Yao & Ding, Jianxun, 2019. "Segment travel time route guidance strategy in advanced traveler information systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    5. Tang, Tie-Qiao & Yu, Qiang & Liu, Kai, 2017. "Analysis of the traffic running cost in a two-route system with feedback strategy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 466(C), pages 1-9.
    6. Zeng, Junwei & Qian, Yongsheng & Mi, Pengfei & Zhang, Chaoyang & Yin, Fan & Zhu, Leipeng & Xu, Dejie, 2021. "Freeway traffic flow cellular automata model based on mean velocity feedback," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
    7. Zeng, Jiao-Yan & Ou, Hui & Tang, Tie-Qiao, 2019. "Feedback strategy with delay in a two-route traffic network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    8. Luo, Jie & Wen, Chao & Peng, Qiyuan & Qin, Yong & Huang, Ping, 2023. "Forecasting the effect of traffic control strategies in railway systems: A hybrid machine learning method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 621(C).

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