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October 13, 2025Open Access

Using Drift Diffusion Model to Analyze Cars' Lane Change Decisions behind Heavy Vehicles

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Authors

NLNachuan LiHMHani S. MahmassaniSASoyoung Ahn

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Overview

Drift diffusion model reveals lane change behavior in traffic behind heavy vehicles, implying potential safety risks.

Key Points

  • Lane changes made by cars behind heavy vehicles can increase safety and traffic flow efficiency.
  • Drivers are more likely to change lanes when the initial headway is lower, according to the drift diffusion model.
  • Evidence accumulation for lane changes is influenced by factors like target gap size and speed differences.
  • Understanding these behaviors can help address highway capacity drops and related safety issues.

Cite This Study

Li et al. (2025) studied this question.

synapsesocial.com/papers/68ed1896f29694dd1da78d07https://doi.org/10.48550/arxiv.2509.10733
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Also Consider

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  1. 1A multi-phase lane change decision-making method for autonomous vehicles2024
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  4. 4Enhancing Cooperative Lane-changing for Intelligent Connected Vehicles: A DDPG-based Approach2024
  5. 5A Game Theory–Based Lane-Change Decision Model for Autonomous Vehicles2026