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A modeling method for two-dimensional two-wheeler driving behavior during severe conflict interaction at

Zhenyuan Liu1, Naiting Zhong1, Junyi Chen1

  • 1School of Automotive Studies, Tongji University, Shanghai, 201804, P.R.China.

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Summary
This summary is machine-generated.

This study introduces an improved social force model (ISFM) to accurately simulate two-wheeler driving behavior during vehicle interactions at intersections. The new model enhances prediction accuracy for yielding and overtaking, improving traffic safety and autonomous vehicle development.

Keywords:
Conflict interactionIntention predictionIntersectionMicroscopic simulationSocial force modelTwo-wheeler driving behavior

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Area of Science:

  • Traffic Engineering
  • Behavioral Modeling
  • Road Safety

Background:

  • Two-wheeler safety is a critical public concern, particularly at intersections where conflicts with vehicles are frequent.
  • Existing driving behavior models inadequately represent two-wheeler interactions with other vehicles, limiting their utility for safety analysis and autonomous system development.

Purpose of the Study:

  • To develop an improved social force model (ISFM) for simulating two-dimensional two-wheeler driving behavior in conflict situations at intersections.
  • To enhance the accuracy of predicting two-wheeler driving intentions and trajectories when encountering vehicles.

Main Methods:

  • Analysis of naturalistic driving study data to categorize two-wheeler intentions (yielding, overtaking) when interacting with vehicles.
  • Design of vehicle-related social forces as a dual-force system (yielding and overtaking) instead of a single repulsion force.
  • Construction of ISFM-based models for bicycles, powered two-wheelers (PTWs), and groups of PTWs.

Main Results:

  • ISFM demonstrated significant improvements in driving intention prediction: 19.7% for yielding and 25.0% for overtaking.
  • Root mean square error reduction between simulated and actual trajectories was 7.8% for bicycle models and 14.8% for PTW models.
  • The model for groups of PTWs also showed robust performance.

Conclusions:

  • The improved social force model (ISFM) effectively captures multi-modal driving intentions of two-wheelers in complex intersection scenarios.
  • ISFM provides a more precise simulation tool for traffic safety management and the testing of autonomous vehicles interacting with two-wheelers.