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Assessment of Traffic Operation Performances and Conflicts at Unsignalized Intersection: A Case Study of Matangi Devi Intersection in Gulariya, Bardiya

Assessment of Traffic Operation Performances and Conflicts at Unsignalized Intersection: A Case Study of Matangi Devi Intersection in Gulariya, Bardiya

Student: Pawan Sharma

Supervisor: Asst. Prof. Dr. Pradeep Kumar Shrestha

Submitted Date: September, 2024

Abstract

This study investigates the traffic performances and traffic conflicts at the unsignalized Matangi Devi intersection in Gulariya, Bardiya, Nepal, aiming to improve road safety in an area with a high incidence of vehicle and pedestrian conflicts. The research examines the operational performance of the intersection and identifies potential countermeasures for reducing conflicts. The methodology involved collecting primary data through video graphic surveys and speed measurements, with machine learning employed to analyze traffic and pedestrian volumes. The study employed the Aimsun Next software for simulating traffic scenarios, and conflict points were analyzed using the Surrogate Safety Assessment Model (SSAM). The analysis provided insights into current traffic flows, delays, and conflict scenarios at the intersection. On Day 2, the maximum number of conflicts was recorded, with a total of 2,680 conflicts occurring between various types of vehicles and pedestrians at intersections. The majority of these conflicts took place where vehicles and pedestrians interacted. Out of the 2,680 conflicts, there were 990 crossing conflicts, 1,275 rear-end conflicts, and 390 lane-change conflicts. In the current scenario, the overall total number of conflicts stands at 8,895, including 394 conflicts between pedestrians and vehicles, and 8,501 conflicts between vehicles. It was found that while countermeasures involving speed regulation of 20Kmph were more successful in lowering vehicle-vehicle conflict by 22.739%, they had the opposite effect i.e. increase conflict by 27.411 % on vehicle-pedestrian conflict. Countermeasures involving regulatory signs, such as a yield sign, were found to be successful in lowering vehicle- pedestrian conflict by 26.142 %. Based on the findings, recommendations include speed regulation of 20 kmph measures and traffic yield sign installation. Future studies could focus on implementing these measures and monitoring their long-term impact on traffic safety.

Keywords

Aimsin, Conflicts, Countermeasures, SSAM, Pedestrian, Vehicles.