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

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.