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Segment travel time route guidance strategy in advanced traveler information systems

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  • Ding, Zhongjun
  • Chen, Bokui
  • Zhang, Lele
  • Jiang, Rui
  • Wu, Yao
  • Ding, Jianxun

Abstract

In this paper, a segment travel time route guidance strategy was proposed in advanced traveler information systems. The route guidance information provided to the vehicles is the sum of travel time on equally divided segments. To evaluate its performance, the new strategy was compared with three other strategies in three different two-route scenarios based on the Nagel–Schreckenberg cellular automaton model. First, four strategies were applied to a symmetrical two-route scenario. The simulation results show that the smaller the segment length is, the greater the average flow will be. The more vehicles that choose roads based on the new strategy, the shorter the average travel time will be. There exists a optimal segment length for each the ratio of dynamic vehicles Sdyn which makes the travel time shortest. Second, in a symmetrical two-route scenario with a permanent bottleneck, results show that zero state and oscillation state were observed. When the bottleneck length more than 1000 cells, the oscillation state disappears. Finally, in a symmetrical two-route scenario with a temporary bottleneck, results show that when the inflow is high, the traffic network with Sdyn=0.5 is better than the one with Sdyn=0. When inflow is low, the situation is just opposite.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:phsmap:v:534:y:2019:i:c:s0378437119300019
    DOI: 10.1016/j.physa.2019.01.001
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    References listed on IDEAS

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    1. Zhengbing He & Bokui Chen & Ning Jia & Wei Guan & Benchuan Lin & Binghong Wang, 2014. "Route guidance strategies revisited: Comparison and evaluation in an asymmetric two-route traffic network," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 25(04), pages 1-11.
    2. 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.
    3. Qi, Le & Zheng, Zhongyi & Gang, Longhui, 2017. "A cellular automaton model for ship traffic flow in waterways," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 705-717.
    4. 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.
    5. Zhao, Han-Tao & Liu, Xin-Ru & Chen, Xiao-Xu & Lu, Jian-Cheng, 2018. "Cellular automata model for traffic flow at intersections in internet of vehicles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 494(C), pages 40-51.
    6. 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.
    7. 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.
    8. Bokui Chen & Mengsu Chen & Ziling Zhang & Yanbo Xie & Binghong Wang, 2011. "Speed Of Last Vehicle Feedback Strategy In Intelligent Transportation Systems," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 22(07), pages 745-753.
    9. Xiao-Yan Sun & Rui Jiang & Qiao-Ming Wang & Bing-Hong Wang, 2010. "Influence Of Traffic Bottleneck On Two-Route Scenario With Mean Velocity Information Feedback," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 21(05), pages 695-707.
    10. Terry L. Friesz & Javier Luque & Roger L. Tobin & Byung-Wook Wie, 1989. "Dynamic Network Traffic Assignment Considered as a Continuous Time Optimal Control Problem," Operations Research, INFORMS, vol. 37(6), pages 893-901, December.
    11. Ding, Zhong-Jun & Yu, Shao-Long & Zhu, Kongjin & Ding, Jian-Xun & Chen, Bokui & Shi, Qin & Lu, Xiao-Shan & Jiang, Rui & Wang, Bing-Hong, 2018. "Analytical and simulation studies of 2D asymmetric simple exclusion process," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 1700-1714.
    12. 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.
    13. Salcido, Alejandro & Hernández-Zapata, Ernesto & Carreón-Sierra, Susana, 2018. "Exact results of 1D traffic cellular automata: The low-density behavior of the Fukui–Ishibashi model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 494(C), pages 276-287.
    14. Bokui Chen & Xiaoyan Sun & Hua Wei & Chuanfei Dong & Binghong Wang, 2011. "Piecewise Function Feedback Strategy In Intelligent Traffic Systems With A Speed Limit Bottleneck," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 22(08), pages 849-860.
    15. Gao, Kun & Jiang, Rui & Wang, Bing-Hong & Wu, Qing-Song, 2009. "Discontinuous transition from free flow to synchronized flow induced by short-range interaction between vehicles in a three-phase traffic flow model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(15), pages 3233-3243.
    16. Yang, Han-Xin & Tang, Ming, 2014. "Adaptive routing strategy on networks of mobile nodes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 402(C), pages 1-7.
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