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Modeling drivers' dilemma at unsignalized T-intersections under mixed traffic conditions: A case study from India
Nishant Mukund Pawar1, Shriniwas Arkatkar2
1Transportation Engineering, Department of Civil Engineering, National Institute of Technology (NIT) Calicut, Kozhikode, India.
Drivers at unsignalized T-intersections face dilemma zones when deciding to accept or reject gaps. Channelization significantly reduces this dilemma, helping right-turning drivers navigate intersections more safely.
Area of Science:
- Traffic Engineering
- Road Safety
- Human Factors in Transportation
Background:
- Right-turning drivers at unsignalized T-intersections must judge gaps, risking collisions due to poor judgment.
- Drivers experience a dilemma when faced with a range of acceptable and unacceptable gaps.
Purpose of the Study:
- To model gap acceptance and rejection decisions for right-turning drivers.
- To estimate dilemma zone boundaries on major roads at unsignalized T-intersections.
Main Methods:
- Collected traffic data using videography at three unsignalized T-intersections.
- Extracted accepted and rejected gap data, analyzing vehicle characteristics (speed, distance, type).
- Modeled gap decisions using Generalized Linear Models (GLM).
Main Results:
- Gap rejection probability increases with higher conflicting vehicle speed and closer distance.
- Dilemma zone boundaries extend further with increased vehicle speed and size.
- Drivers experience greater dilemma when turning from major roads compared to minor roads.
Conclusions:
- Channelization is crucial in mitigating driver dilemma at unsignalized T-intersections.
- Identified dilemma zone boundaries can enhance safety for right-turning drivers.
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