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Decision dynamics in a traffic scenario

Author

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  • Wahle, Joachim
  • Bazzan, Ana Lúcia C
  • Klügl, Franziska
  • Schreckenberg, Michael

Abstract

Information is a key commodity in many socio-economic systems like stock markets or traffic systems. In this paper the influence of dynamic information on the stability of traffic patterns is investigated using a very simple route choice scenario. The basis of the route decisions is dynamic information generated by traffic flow simulations. A correlation analysis yields that the system can be destabilized by introducing information. It is found that the overall performance of the system is reduced, although the information should help to distribute traffic more efficiently.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:phsmap:v:287:y:2000:i:3:p:669-681
    DOI: 10.1016/S0378-4371(00)00510-0
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    References listed on IDEAS

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    1. Thomas Lux & Michele Marchesi, 1999. "Scaling and criticality in a stochastic multi-agent model of a financial market," Nature, Nature, vol. 397(6719), pages 498-500, February.
    2. Challet, D. & Zhang, Y.-C., 1997. "Emergence of cooperation and organization in an evolutionary game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 246(3), pages 407-418.
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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. Nagatani, Takashi, 2020. "Traffic flow on percolation-backbone fractal," Chaos, Solitons & Fractals, Elsevier, vol. 135(C).
    3. Pauer, Gábor & Török, à rpád, 2022. "Introducing a novel safety assessment method through the example of a reduced complexity binary integer autonomous transport model," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    4. Bittihn, Stefan & Schadschneider, Andreas, 2021. "The effect of modern traffic information on Braess’ paradox," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 571(C).
    5. 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.
    6. Zhang, Zhao-Ze & Huang, Hai-Jun & Tang, Tie-Qiao, 2018. "Impacts of preceding information on travelers’ departure time behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 523-529.
    7. Selten, Reinhard & Schreckenberg, Michael & Pitz, Thomas & Chmura, Thorsten & Kube, Sebastian, 2002. "Experiments and Simulations on Day-to-Day Route Choice-Behaviour," Bonn Econ Discussion Papers 35/2002, University of Bonn, Bonn Graduate School of Economics (BGSE).
    8. Tanimoto, Jun & Nakamura, Kousuke, 2016. "Social dilemma structure hidden behind traffic flow with route selection," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 459(C), pages 92-99.
    9. Chrobok, R. & Kaumann, O. & Wahle, J. & Schreckenberg, M., 2004. "Different methods of traffic forecast based on real data," European Journal of Operational Research, Elsevier, vol. 155(3), pages 558-568, June.
    10. 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).
    11. 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.
    12. 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).
    13. Yanhong Wang & Rui Jiang & Yu (Marco) Nie & Ziyou Gao, 2021. "Impact of Information on Topology-Induced Traffic Oscillations," Transportation Science, INFORMS, vol. 55(2), pages 475-490, March.
    14. 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.
    15. Nagatani, Takashi, 2021. "Traffic flow on star graph: Nonlinear diffusion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 561(C).
    16. 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).

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