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Evaluation of the dispersion effect in through movement bicycles at signalized intersection via cellular automata simulation

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  • Jiang, Hang
  • Ma, Yongjian
  • Jiang, Lin
  • Chen, Guozhou
  • Wang, Dongwei

Abstract

At signalized intersection areas, bicycle traffic presents a dispersion feature which may influence the movements of vehicles during peak period. The primary objective of this study is to simulate the dispersion effect in through-movement bicycle traffic at intersection areas and evaluate its influence on through-movement traffic. A cellular automata (CA) model is developed and validated to simulate the operations of through-movement bicycle traffic departing from two types of intersection approaches. Simulation results show that bicycles benefit from the dispersion effect when they depart from the approach with an exclusive right-turn vehicle lane. But when bicycles travel from the approach with a shared right-turn and through vehicle lane, the dispersion effect will result in friction interference and block interference on through-movement vehicles. Bicycle interferences reduce the vehicle speed and increase the delay of through-movement vehicles. The policy implications in regard to the dispersion effect from two types of approaches are discussed to improve the performance of through-movement traffic operations at signalized intersections.

Suggested Citation

  • Jiang, Hang & Ma, Yongjian & Jiang, Lin & Chen, Guozhou & Wang, Dongwei, 2018. "Evaluation of the dispersion effect in through movement bicycles at signalized intersection via cellular automata simulation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 498(C), pages 138-147.
  • Handle: RePEc:eee:phsmap:v:498:y:2018:i:c:p:138-147
    DOI: 10.1016/j.physa.2017.12.130
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    References listed on IDEAS

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    Cited by:

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    2. Li, Yixin & Ni, Ying & Sun, Jian & Ma, Zian, 2020. "Modeling the illegal lane-changing behavior of bicycles on road segments: Considering lane-changing categories and bicycle heterogeneity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
    3. Hwachyi Wang & S. K. Jason Chang & Hans De Backer & Dirk Lauwers & Philippe De Maeyer, 2019. "Integrating Spatial and Temporal Approaches for Explaining Bicycle Crashes in High-Risk Areas in Antwerp (Belgium)," Sustainability, MDPI, vol. 11(13), pages 1-28, July.
    4. Wang, Hwachyi & De Backer, Hans & Lauwers, Dirk & Chang, S.K.Jason, 2019. "A spatio-temporal mapping to assess bicycle collision risks on high-risk areas (Bridges) - A case study from Taipei (Taiwan)," Journal of Transport Geography, Elsevier, vol. 75(C), pages 94-109.

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