International Journal on Science and Technology

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Discretionary Lane Changing decision for Avoiding the Rear Crash Using Quantal Response Equilibrium-based Game theory.

Author(s) Dr. Md Mijanoor Rahman, Ms. Halima Khatun
Country Bangladesh
Abstract Objective: Few studies have used the Nash equilibrium-based game theory model as an at least four decision-based model to solve conflicting situation. Although, the drivers are not fully rational, so the problem should be solved by the Quantal Response Equilibrium (QRE) model.
Methods: This research is to use out a QRE model for Discretionary Lane Changing (DLC) action based on bounded rational behavior, and to propose the probabilistic decisions of the Lane Changing (LC) vehicle (following vehicle) and target following vehicle, and to find the conflicting situations in the DLC decision.
Finding: As a result, this calibration model uses 30 lane-changing events of the Dhaka-Tangail highway of Bangladesh dataset to suggest DLC driver behavior. Additionally, this model validates 16 Lane Changing (LC) events of the same dataset. Then, the model are calibrated and collected to check the test dataset. The false-alarm-rates for LC, NLC, yielding and forbidding decisions are 15.12%, 0.00%, 35.00% and 8.33%, respectively using the calibration approach, and 10.81%, 0.00%, 36.36% and 40.00%, respectively using the validation test.
Novelty: Therefore, the predictions of LC decision with calibrated parameters were found to be quite accurate to demonstrate the model's robustness.
Keywords Discretionary Lane Changing, Bi-level programming, Genetic Algorithm, Quantal Response Equilibrium, Game Theory.
Field Physical Science
Published In Volume 16, Issue 3, July-September 2025
Published On 2025-07-18
DOI https://doi.org/10.71097/IJSAT.v16.i3.6969
Short DOI https://doi.org/g9t2xg
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