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Influence of driver’s yielding behavior on pedestrian-vehicle conflicts at a two-lane roundabout using fuzzy cellular automata

基于模糊元胞自动机的双车道环岛驾驶员礼让行为对人车冲突的影响

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Abstract

The roundabouts are widely used in China, some of which have central islands as scenic spots. The crosswalks connecting to the central islands, normally full of pedestrians, have negative impact on roundabout capability and pedestrian safety. Therefore, this study proposes a fuzzy cellular automata (FCA) model to explore the safety and efficiency impacts of pedestrian-vehicle conflicts at a two-lane roundabout. To reason the decision-making process of individual drivers before crosswalks, membership functions in the fuzzy inference system were calibrated with field data conducted in Changsha, China. Using specific indicators of efficiency and safety performance, it was shown that circulating vehicles can move smoothly in low traffic flow, but the roundabout system is prone to the traffic congestion if traffic flow reaches to a certain level. Also, the high yielding rate of drivers has a negative impact on the traffic efficiency but can improve pedestrian safety. Furthermore, a pedestrian restriction measure was deduced for the roundabout crosswalk from the FCA model and national guideline of setting traffic lights.

摘要

在中国, 环岛被广泛使用, 一些环岛的中心岛还被打造成城市景观。然而, 通往中心岛的人行 横道通常占满了行人, 对环岛通行能力和行人安全造成严重的负面影响。本研究提出一种模糊元胞自 动机(FCA)模型, 旨在探讨双车道环岛处人车冲突对行人安全和环岛效率的影响。以中国长沙为例, 对模糊推理系统中的隶属度函数进行标定, 以推理驾驶员在人行横道前的决策过程。通过使用效率和 安全性能指标对仿真结果进行评价, 结果表明环内车辆在低流量条件下可以平稳行驶, 但当车流量达 到一定水平时, 环岛系统容易发生交通拥堵。并且, 驾驶员较高的礼让率对交通效率有负面影响, 但 可以提高行人的安全性。基于此, 根据FCA模型和中国安装交通信号灯的规范推导出环岛人行横道的 行人限流措施。

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References

  1. FLANNERY A. Geometric design and safety aspects of roundabouts [J]. Transportation Research Record: Journal of the Transportation Research Board, 2001, 1751(1): 76–81. DOI: https://doi.org/10.3141/1751-09.

    Article  Google Scholar 

  2. DANIELS S, BRIJS T, NUYTS E, et al. Extended prediction models for crashes at roundabouts [J]. Safety Science, 2011, 49(2): 198–207. DOI: https://doi.org/10.1016/j.ssci.2010.07.016.

    Article  Google Scholar 

  3. MONTELLA A. Identifying crash contributory factors at urban roundabouts and using association rules to explore their relationships to different crash types [J]. Accident Analysis & Prevention, 2011, 43(4): 1451–1463. DOI: https://doi.org/10.1016/j.aap.2011.02.023.

    Article  Google Scholar 

  4. BERGMAN A, OLSTAM J, ALLSTRÖM A. Analytical traffic models for roundabouts with pedestrian crossings [J]. Procedia-Social and Behavioral Sciences, 2011, 16: 697–708. DOI: https://doi.org/10.1016/j.sbspro.2011.04.489.

    Article  Google Scholar 

  5. CHAUDHARI A, GORE N, ARKATKAR S, et al. Pedestrian crossing warrants for urban midblock crossings under mixed-traffic environment [J]. Journal of Transportation Engineering, Part A: Systems, 2020, 146(5): 04020031. DOI: https://doi.org/10.1061/jtepbs.0000338.

    Article  Google Scholar 

  6. WANG Jie, HUANG He-lai. Road network safety evaluation using Bayesian hierarchical joint model [J]. Accident Analysis & Prevention, 2016, 90: 152–158. DOI: https://doi.org/10.1016/j.aap.2016.02.018.

    Article  Google Scholar 

  7. WANG Jie, HUANG He-lai, XU Peng-peng, et al. Random parameter probit models to analyze pedestrian red-light violations and injury severity in pedestrian-motor vehicle crashes at signalized crossings [J]. Journal of Transportation Safety & Security, 2020, 12(6): 818–837. DOI: https://doi.org/10.1080/19439962.2018.1551257.

    Article  Google Scholar 

  8. GUO Qiang, PEI Xin, YAO Dan-ya, et al. Role of street patterns in zone-based traffic safety analysis [J]. Journal of Central South University, 2015, 22(6): 2416–2422. DOI: https://doi.org/10.1007/s11771-015-2768-3.

    Article  Google Scholar 

  9. XU Guang-ming, SHI Feng, LIU Bing, et al. Model and algorithm of optimizing alternate traffic restriction scheme in urban traffic network [J]. Journal of Central South University, 2014, 21(12): 4742–4752. DOI: https://doi.org/10.1007/s11771-014-2484-4.

    Article  Google Scholar 

  10. LI Yang, WANG Jian-qiang, WU Jian. Model calibration concerning risk coefficients of driving safety field model [J]. Journal of Central South University, 2017, 24(6): 1494–1502. DOI: https://doi.org/10.1007/s11771-017-3553-2.

    Article  Google Scholar 

  11. ZHU Wen-xing, ZHANG Cheng-hui. Analysis of energy dissipation in traffic flow with a variable slope [J]. Physica A: Statistical Mechanics and Its Applications, 2013, 392(16): 3301–3307. DOI: https://doi.org/10.1016/j.physa.2013.04.004.

    Article  Google Scholar 

  12. ZHU Wen-xing, ZHANG Li-dong. Friction coefficient and radius of curvature effects upon traffic flow on a curved Road [J]. Physica A: Statistical Mechanics and Its Applications, 2012, 391(20): 4597–4605. DOI: https://doi.org/10.1016/j.physa.2012.05.032.

    Article  Google Scholar 

  13. PENG Guang-han. A new lattice model of traffic flow with the consideration of individual difference of anticipation driving behavior [J]. Communications in Nonlinear Science and Numerical Simulation, 2013, 18(10): 2801–2806. DOI: https://doi.org/10.1016/j.cnsns.2013.03.007.

    Article  MathSciNet  Google Scholar 

  14. PENG Guang-han, YANG Shu-hong, ZHAO Hong-zhuan. The difference of drivers’ anticipation behaviors in a new macro model of traffic flow and numerical simulation [J]. Physics Letters A, 2018, 382(36): 2595–2597. DOI: https://doi.org/10.1016/j.physleta.2018.06.039.

    Article  Google Scholar 

  15. YANG Shi-chun, ZHAO Qian, TANG Tie-qiao. Modeling electric vehicle’s following behavior and numerical tests [J]. Journal of Central South University, 2014, 21(11): 4378–4385. DOI: https://doi.org/10.1007/s11771-014-2438-x.

    Article  Google Scholar 

  16. CHEN Liang, TANG Tie-qiao, HUANG Hai-jun, et al. Elementary students’ evacuation route choice in a classroom: A questionnaire-based method [J]. Physica A: Statistical Mechanics and Its Applications, 2018, 492: 1066–1074. DOI: https://doi.org/10.1016/j.physa.2017.11.036.

    Article  Google Scholar 

  17. CHEN Liang, TANG Tie-qiao, SONG Zi-qi, et al. Child behavior during evacuation under non-emergency situations: Experimental and simulation results [J]. Simulation Modelling Practice and Theory, 2019, 90: 31–44. DOI: https://doi.org/10.1016/j.simpat.2018.10.007.

    Article  Google Scholar 

  18. ORSINI F, GECCHELE G, GASTALDI M, et al. Collision prediction in roundabouts: A comparative study of extreme value theory approaches [J]. Transportmetrica A: Transport Science, 2019, 15(2): 556–572. DOI: https://doi.org/10.1080/23249935.2018.1515271.

    Article  Google Scholar 

  19. GUERRIERI M, MAURO R, PARLA G, et al. Analysis of kinematic parameters and driver behavior at turbo roundabouts [J]. Journal of Transportation Engineering, Part A: Systems, 2018, 144(6): 04018020. DOI: https://doi.org/10.1061/jtepbs.0000129.

    Article  Google Scholar 

  20. TANG Tie-qiao, RUI Ying-xu, ZHANG Jian, et al. A cellular automation model accounting for bicycle’s group behavior [J]. Physica A: Statistical Mechanics and Its Applications, 2018, 492: 1782–1797. DOI: https://doi.org/10.1016/j.physa.2017.11.097.

    Article  MathSciNet  Google Scholar 

  21. TANG Tie-qiao, SHAO Yi-xiao, CHEN Liang, et al. Modeling passengers’ boarding behavior at the platform of high speed railway station [J]. Journal of Advanced Transportation, 2017, 2017: 1–11. DOI: https://doi.org/10.1155/2017/4073583.

    Google Scholar 

  22. LIU Tian-liang, HUANG Hai-jun, TIAN Li-jun. Microscopic simulation of multi-lane traffic under dynamic tolling and information feedback [J]. Journal of Central South University of Technology, 2009, 16(5): 865–870. DOI: https://doi.org/10.1007/s11771-009-0143-y.

    Article  Google Scholar 

  23. GE H X, CHENG R J, LEI L. The theoretical analysis of the lattice hydrodynamic models for traffic flow theory [J]. Physica A: Statistical Mechanics and Its Applications, 2010, 389(14): 2825–2834. DOI: https://doi.org/10.1016/j.physa.2010.03.007.

    Article  Google Scholar 

  24. ZHU Wen-xing, ZHANG Li-dong. A novel lattice traffic flow model and its solitary density waves [J]. International Journal of Modern Physics C, 2012, 23(3): 1250025. DOI: https://doi.org/10.1142/s0129183112500258.

    Article  Google Scholar 

  25. WANG Rui-li, RUSKIN H J. Modeling traffic flow at a single-lane urban roundabout [J]. Computer Physics Communications, 2002, 147(1–2): 570–576. DOI: https://doi.org/10.1016/S0010-4655(02)00362-4.

    Article  Google Scholar 

  26. FOULADVAND M E, SADJADI Z, SHAEBANI M R. Characteristics of vehicular traffic flow at a roundabout [J]. Physical Review E: Statistical, Nonlinear, and Soft Matter Physics, 2004, 70(4 pt 2): 046132. DOI: https://doi.org/10.1103/physreve.70.046132.

    Article  Google Scholar 

  27. HUANG Ding-wei. Modeling gridlock at roundabout [J]. Computer Physics Communications, 2015, 189: 72–76. DOI: https://doi.org/10.1016/j.cpc.2014.12.011.

    Article  Google Scholar 

  28. LI Ye, XING Lu, WANG Wei, et al. Evaluating the impact of Mobike on automobile-involved bicycle crashes at the road network level [J]. Accident Analysis & Prevention, 2018, 112: 69–76. DOI: https://doi.org/10.1016/j.aap.2018.01.002.

    Article  Google Scholar 

  29. HE Zheng-bing, MA Shou-feng, GUAN Wei. Delays caused by motorized vehicles unable to clear intersections in China: Graphical analysis [J]. Journal of Central South University, 2013, 20(9): 2614–2624. DOI: https://doi.org/10.1007/s11771-013-1776-4.

    Article  Google Scholar 

  30. FELICIANI C, GORRINI A, CROCIANI L, et al. Calibration and validation of a simulation model for predicting pedestrian fatalities at unsignalized crosswalks by means of statistical traffic data [J]. Journal of Traffic and Transportation Engineering (English Edition), 2020, 7(1): 1–18. DOI: https://doi.org/10.1016/j.jtte.2019.01.004.

    Article  Google Scholar 

  31. CROCIANI L, VIZZARI G. An integrated model for the simulation of pedestrian crossings [C]// Cellular Automata, 2014: 670–679. DOI: https://doi.org/10.1007/978-3-319-11520-7_71.

  32. GORRINI A, CROCIANI L, VIZZARI G, et al. Observation results on pedestrian-vehicle interactions at non-signalized intersections towards simulation [J]. Transportation Research Part F: Traffic Psychology and Behaviour, 2018, 59: 269–285. DOI: https://doi.org/10.1016/j.trf.2018.09.016.

    Article  Google Scholar 

  33. ZHAO Han-tao, YANG Shuo, CHEN Xiao-xu. Cellular automata model for urban road traffic flow considering pedestrian crossing street [J]. Physica A: Statistical Mechanics and Its Applications, 2016, 462: 1301–1313. DOI: https://doi.org/10.1016/j.physa.2016.06.146.

    Article  Google Scholar 

  34. ECHAB H, EZ-ZAHRAOUY H, LAKOUARI N. Simulation study of interference of crossings pedestrian and vehicle traffic at a single lane roundabout [J]. Physica A: Statistical Mechanics and Its Applications, 2016, 461: 854–864. DOI: https://doi.org/10.1016/j.physa.2016.06.006.

    Article  Google Scholar 

  35. CHEN Liang, TANG Tie-qiao, HUANG Hai-jun, et al. Modeling pedestrian flow accounting for collision avoidance during evacuation [J]. Simulation Modelling Practice and Theory, 2018, 82: 1–11. DOI: https://doi.org/10.1016/j.simpat.2017.12.011.

    Article  Google Scholar 

  36. YANG Xiao-bao, SI Bing-feng, HUAN Mei. Mixed traffic flow modeling near Chinese bus stops and its applications [J]. Journal of Central South University, 2012, 19(9): 2697–2704. DOI: https://doi.org/10.1007/s11771-012-1329-2.

    Article  Google Scholar 

  37. WANG Ying-ming, CHIN K S, POON G K K, et al. Risk evaluation in failure mode and effects analysis using fuzzy weighted geometric mean [J]. Expert Systems with Applications, 2009, 36(2): 1195–1207. DOI: https://doi.org/10.1016/j.eswa.2007.11.028.

    Article  Google Scholar 

  38. NASER M M, ZULKIPLE A, AL BARGI W A, et al. Modeling pedestrian gap crossing index under mixed traffic condition [J]. Journal of Safety Research, 2017, 63: 91–98. DOI: https://doi.org/10.1016/j.jsr.2017.08.005.

    Article  Google Scholar 

  39. ZHANG Ying-ying, YAO Dan-ya, QIU T Z, et al. Pedestrian safety analysis in mixed traffic conditions using video data [J]. IEEE Transactions on Intelligent Transportation Systems, 2012, 13(4): 1832–1844. DOI: https://doi.org/10.1109/TITS.2012.2210881.

    Article  Google Scholar 

  40. China National Standardization Management Committee. Specification for road traffic signal and installation: GB14886-2016 [S]. Ministry of Public Security of the People’s Republic of China, 2016.

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Authors and Affiliations

  1. School of Traffic and Transportation Engineering, Central South University, Changsha, 410075, China

    Chuan-yao Li  (李传耀), Shi-kun Liu  (刘诗昆), Guang-ming Xu  (徐光明) & Xue-kai Cen  (岑学楷)

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  1. Chuan-yao Li  (李传耀)
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  2. Shi-kun Liu  (刘诗昆)
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  3. Guang-ming Xu  (徐光明)
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  4. Xue-kai Cen  (岑学楷)
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Correspondence to Xue-kai Cen  (岑学楷).

Additional information

Foundation item

Project(2020YFB1600400) supported by the National Key Research and Development Program of China; Project (2019JJ50837) supported by the Natural Science Foundation of Hunan Province, China; Project(71801227) supported by the National Natural Science Foundation of China

Contributors

LI Chuan-yao provided the methodology and supplied resources. LIU Shi-kun conducted field survey, established the model and edited the first draft of the manuscript. XU Guang-ming revised draft of the manuscript. CEN Xue-kai performed the formal analysis and completed the final version.

Conflict of interest

LI Chuan-yao, LIU Shi-kun, XU Guang-ming and CEN Xue-kai declare that they have no conflict of interest.

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Li, Cy., Liu, Sk., Xu, Gm. et al. Influence of driver’s yielding behavior on pedestrian-vehicle conflicts at a two-lane roundabout using fuzzy cellular automata. J. Cent. South Univ. 29, 346–358 (2022). https://doi.org/10.1007/s11771-022-4927-7

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  • DOI: https://doi.org/10.1007/s11771-022-4927-7

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