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Analyzing start-up time headway distribution characteristics at signalized intersections

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  • Luo, Qiang
  • Yuan, Jie
  • Chen, Xinqiang
  • Wu, Shubo
  • Qu, Zhijian
  • Tang, Jinjun

Abstract

Time headway distributions play an important role in analyzing driver behavior prediction, road service evaluation, traffic state estimation, et al. Thus, less attention was paid on the start-up time headway distributions at urban signalized intersections. To bridge the gap, we proposed a novel framework with three-parameter burr model and log-logistic distribution model to analyze vehicle start-up time headway distribution characteristics at signalized intersections. First, we collected a large amount of start-up time headway samples at the signalized intersection located at Guangzhou city in China. Second, all the vehicle start-up sample data have been processed and analyzed with three-parameter Burr model and log-logistic distribution curves. Third, we explored vehicle start-up time headway distribution characteristics by considering and regard less of queuing positions. Last but not least, we have applied our model to analyze saturated time headway distributions, and estimate minimum green time for vehicle queues passing through intersections. The findings of our research can help transport authorities set more reasonable green time at intersections, and improve urban transportation commuting efficiency.

Suggested Citation

  • Luo, Qiang & Yuan, Jie & Chen, Xinqiang & Wu, Shubo & Qu, Zhijian & Tang, Jinjun, 2019. "Analyzing start-up time headway distribution characteristics at signalized intersections," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    • Handle: RePEc:eee:phsmap:v:535:y:2019:i:c:s0378437119313536
    DOI: 10.1016/j.physa.2019.122348
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    References listed on IDEAS

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    1. Yajie Zou & Xinzhi Zhong & Jinjun Tang & Xin Ye & Lingtao Wu & Muhammad Ijaz & Yinhai Wang, 2019. "A Copula-Based Approach for Accommodating the Underreporting Effect in Wildlife?Vehicle Crash Analysis," Sustainability, MDPI, vol. 11(2), pages 1-13, January.
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    Cited by:

    1. Fang, Zhenyuan & Zhu, Shichao & Fu, Xin & Liu, Fang & Huang, Helai & Tang, Jinjun, 2022. "Multivariate analysis of traffic flow using copula-based model at an isolated road intersection," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 599(C).
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    3. Chen, Xiaolong & Hu, Manjiang & Xu, Biao & Bian, Yougang & Qin, Hongmao, 2022. "Improved reservation-based method with controllable gap strategy for vehicle coordination at non-signalized intersections," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    4. Bari, Chintaman Santosh & Chandra, Satish & Dhamaniya, Ashish, 2022. "Service headway distribution analysis of FASTag lanes under mixed traffic conditions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).

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