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A More Practical Traffic Lights Cellular Automata Model for Traffic Flow Simulation

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Proceedings of the Second International Conference on Intelligent Transportation (ICIT 2016)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 53))

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Abstract

Based on real collected data to analyze the effects to vehicle speed near the line of parking area under different remaining of green time with or without signal countdown device on urban roads. Then we can analysis of drivers’ characteristics and its spatio-temporal characteristics. Conclusion is drawn as follows: The influence of signal lights on vehicle speed, which mainly concentrate in the 70 m area near the stop line; During the green light period, at the same time point, the operational characteristics of vehicles on different positions have significant difference, which changes with the passing of green time; Compared with no signal countdown case, the vehicle speed fluctuation is larger and the average speed is obviously lower in signal countdown case; Under the traffic without blocking, most drivers want to increase speed through the stop-line. Eventually, by performing the analysis of pilot behaviors in with or without signal countdown device, an attempt is made to provide the urban road entrance lanes of more realistic CA model, which describes the operational characteristics of urban road entrance lanes with the signal controlling has obvious advantages through simulation results.

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References

  1. Chiou, Y.C., Chang, C.H.: Driver responses to green and red vehicular signal countdown displays; safety and efficiency aspects. Accid. Anal. Prev. 42(4), 1057–1065 (2010)

    Article  Google Scholar 

  2. Ma, T.: Study on the effect of countdown. Jilin University, Changchun (2008)

    Google Scholar 

  3. Qian, H.: Influence of countdown of green signal on traffic safety at crossing. China Saf. Sci. J. 20(3), 9–13 (2010)

    Google Scholar 

  4. Li, Z., Zhang, J.: Effect of traffic signal countdown on driver’s start-reaction time. Sch. Electron. Inf. Control Eng. 5(31), 77–81 (2013)

    Google Scholar 

  5. Ling, J.: Study on dynamic characteristic parameters of signal control in urban intersection. Beijing University of Technology (2008)

    Google Scholar 

  6. Tong, Z., Pei, X., Chun-Lin, G.: Effects of green signal countdown and other factors on vehicle speed at intersection. J. Chang’an Univ. Nat. Sci. Ed. 32 (4), 70–75 (2012)

    Google Scholar 

  7. Nagel, K., Schreckenberg, M.: A cellular automaton model for freeway traffic. Phys. I. (France) 2, 2221–2229 (1992)

    Google Scholar 

  8. Biham, O., Middleon, A., Levine, D.: Phys. Rev. A. 46, 6124 (1992)

    Google Scholar 

  9. Takasu, M., Takyasu, H.: 1/f noise in a traffic model. Fractals 1, 860–866 (1993)

    Google Scholar 

  10. Benjamin, S.C., Johnson, N.F. Hui, P.M.: Cellular automaton models of traffic flow along a highway containing a junction. J. Phys. A. 29, 3119–312 (1996)

    Google Scholar 

  11. Barlovie, R., Santen, L., Schreckenburg, A.: Metastable states in cellular automata for traffic flow. Eur. Phys. J. B. 5, 793–780 (1998)

    Google Scholar 

  12. Li, X.B., Wu, Q.S., Jiang, R.: Cellular automaton models considering the velocity effect of a car on the successive car. Phys. Rev. E. 64, 066128 (2001)

    Article  Google Scholar 

  13. Knospe, W., Santen, L., Schadschneider, A., et al.: Towards a realistic microscopic description of highway traffic. Phys. A. 33, L477–L485 (2000)

    Article  Google Scholar 

  14. Jiang, R., Wu, Q.S.: Cellular automata models for synchronized traffic flow. Phys. A. 36, 381–390 (2003)

    Google Scholar 

  15. Lee, H.Y., Barlovic, R., Schreckenberg, M., Kim, D.: Mechanical restriction versus human overreaction triggering congested traffic states. Phys. Rev. Lett. 92, 238702 (2004)

    Google Scholar 

  16. Zhu, H.B., Ge, H.X., Dong, L.Y., Dai, S.Q.: A modified NaSch model with density-dependent randomization for traffic flow. Eur. Phys. J. B. 57, 103–108 (2007)

    Google Scholar 

  17. Larraga, M.E., Alvarez-Icaza, L.: Cellular automata model for traffic flow with safe driving conditions. Chin. Phys. B. 23 (5), 050701 (2014)

    Google Scholar 

  18. Brockfeld, E., Barlovic, R., Schadschneider, A., Schreckenberg, M.: Optimizing traffic lights in a cellular autromatom model for city traffic. Phys. Rev. E. 64, 056132 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  19. Ding, Z.J., Wang, B.H.: Traffic behavior of T-shaped intersection system under signal controlling compared with unsignalized model. J. Jilin Univ. Eng. Technol. Ed. 39(2), (2009)

    Google Scholar 

  20. Zhang, J., Dong, L.: A cellular automaton model for urban traffic considering anticipation effect in the presence of traffic lights. J. Shanghai Univ. Nat. Sci. 17(5), 642–647 (2011)

    Article  Google Scholar 

  21. Peng, C.: Research on signal light of intersection base on cellular automaton. East China Jiaotong University (2012)

    Google Scholar 

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Acknowledgments

Project supported by the National Natural Science Foundation of China (Grant No. 61403052).

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Correspondence to Xinlu Ma .

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Ma, X., Li, B., Zhang, S., Guan, X. (2017). A More Practical Traffic Lights Cellular Automata Model for Traffic Flow Simulation. In: Lu, H. (eds) Proceedings of the Second International Conference on Intelligent Transportation. ICIT 2016. Smart Innovation, Systems and Technologies, vol 53. Springer, Singapore. https://doi.org/10.1007/978-981-10-2398-9_7

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  • DOI: https://doi.org/10.1007/978-981-10-2398-9_7

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2397-2

  • Online ISBN: 978-981-10-2398-9

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