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Understanding the mechanism of lane changing process and dynamics using microscopic traffic data

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  • Chauhan, Prajwal
  • Kanagaraj, Venkatesan
  • Asaithambi, Gowri

Abstract

The lane changing manoeuvre is a fundamental driver behaviour that determines vehicle distribution across lanes. Lane-changing behaviour has a significant effect on traffic flow and may cause traffic oscillations, relaxation, moving bottleneck, and capacity drop/breakdown. This study aims to identify the lane change window and classify the lane change behaviour of vehicles using NGSIM data. Determination of the starting and ending points (time window) of lane change operation has a significant impact on the lane change duration and dynamics. In this study, a new approach is proposed to identify the time window of lane change operation using the absolute value of the derivative of the cumulative lateral speed which reduces unintended drifts of vehicles in lateral direction. Then, the lane changes are classified into free, forced and cooperative using Hidas definition (Hidas, 2005) which does not closely replicate the field conditions. This study proposes three different methods for the classification of lane changes based on microscopic traffic variables and vehicle kinematics in the vicinity of lane changing process and these methods are verified quantitatively. Statistical tests are performed to check if the types of lane changes are statistically different. Finally, two types of classification are considered such as free lane change and constraint lane change, and a log-normal distribution is fitted for the lane change duration of these two types.

Suggested Citation

  • Chauhan, Prajwal & Kanagaraj, Venkatesan & Asaithambi, Gowri, 2022. "Understanding the mechanism of lane changing process and dynamics using microscopic traffic data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 593(C).
    • Handle: RePEc:eee:phsmap:v:593:y:2022:i:c:s0378437122000735
    DOI: 10.1016/j.physa.2022.126981
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    References listed on IDEAS

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    1. Jin, Wen-Long, 2013. "A multi-commodity Lighthill–Whitham–Richards model of lane-changing traffic flow," Transportation Research Part B: Methodological, Elsevier, vol. 57(C), pages 361-377.
    2. Daniel (Jian) Sun & Lily Elefteriadou, 2014. "A Driver Behavior-Based Lane-Changing Model for Urban Arterial Streets," Transportation Science, INFORMS, vol. 48(2), pages 184-205, May.
    3. Laval, Jorge A. & Daganzo, Carlos F., 2006. "Lane-changing in traffic streams," Transportation Research Part B: Methodological, Elsevier, vol. 40(3), pages 251-264, March.
    4. Laval, Jorge A. & Leclercq, Ludovic, 2008. "Microscopic modeling of the relaxation phenomenon using a macroscopic lane-changing model," Transportation Research Part B: Methodological, Elsevier, vol. 42(6), pages 511-522, July.
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    Cited by:

    1. Wang, Lichao & Yang, Min & Li, Ye & Hou, Yiqi, 2022. "A model of lane-changing intention induced by deceleration frequency in an automatic driving environment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    2. Min Zhang & Yuhan Nie & Chi Zhang & Bo Wang & Shengyu Xi, 2024. "Analysis of the Duration of Mandatory Lane Changes for Heavy-Duty Trucks at Interchanges," Sustainability, MDPI, vol. 16(14), pages 1-22, July.

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