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Using multinomial regression to explore the spatial factors affecting left-turn oncoming accidents involving
1Department of Civil Engineering, National Taiwan University, Taipei, Taiwan.
Traffic Injury Prevention
|December 20, 2021
Summary
Motorcycle lane positioning significantly impacts left-turn collision risk at intersections. Avoiding the right side of vehicles and choosing appropriate paths can prevent accidents.
Area of Science:
- Traffic Safety
- Road Accident Analysis
- Motorcycle Dynamics
Background:
- Motorcycles constitute a high percentage of accidents in mixed traffic.
- Motorcycle maneuverability contributes to traffic conflicts and accidents.
Purpose of the Study:
- Analyze left-turn oncoming collisions at intersections.
- Investigate the impact of crossing positions on accident risk.
- Propose crash prevention strategies.
Main Methods:
- Developed an image dataset from accident videos.
- Utilized multinomial regression model (MNL) for spatial factor analysis.
- Employed post encroachment time analysis for non-incident samples.
- Applied elasticity analysis to determine spatial factor influence on risk.
Main Results:
- Accident risk is significantly influenced by the cross-section positions of left-turn vehicles and motorcycles.
- Specific vehicle and motorcycle positions during intersection passage are critical risk factors.
Conclusions:
- Riding a straight motorcycle in the curb lane increases collision risk.
- Inappropriate turning trajectories for opposite left-turn cars elevate risk.
- Motorcyclists should select optimal positions and avoid the right side of other vehicles, even with right-of-way.
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