Optimization of Traffic Signal Timing to Minimize Queue Length at Tatarpur Intersection, Bhagalpur, Bihar

Abstract - This study aims to determine the most effective traffic signal timing to reduce the number of idling vehicles at the Tatarpur Intersection during the rush hour 3 PM to 5 PM. The analysis considered all traffic movements, ensuring pedestrian safety by adhering to the U.S Federal Highway Administration's standard walking speed of four feet per second. To optimize signal duration, a linear programming approach was used, incorporating factors such as the average number of idling vehicles, existing pedestrian crossing times, and vehicular arrival rates at the intersection. Traffic flow data was collected for each movement to estimate the total number of vehicles waiting for a green signal. The findings indicate that the optimal green time for vehicles traveling from M.M College to the Railway Station was reduced by 16%. Similarly, the green time for vehicles traveling from Kotwali Chowk to M.M College also decreased by 16%. Additionally, the ideal green time for vehicles traveling from Station Road to either M.M College or Kotwali Chowk whether moving straight or making a right turn, was reduced by 12%. In conclusion, assigning longer green times to movements with higher vehicle arrivals does not always result in a proportional decrease in queuing. An extended green phase can lead to excessively long cycle times, which may cause longer queues in other directions. Thus, a balanced approach to traffic signal timing is crucial for optimizing overall intersection performance. Key Words: Traffic Signal Timing, Idling Vehicles, Linear Programming, Intersection Performance, Pedestrian Safety

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Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-09-21
DOI
https://doi.org/10.55041/ijsrem52705
Primary Topic
Urban Transport Systems Analysis
Type
article
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article

Optimization of Traffic Signal Timing to Minimize Queue Length at Tatarpur Intersection, Bhagalpur, Bihar

Kamala Kanta Parhi, Prashant Kumar, Sandeep Suman
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Urban Transport Systems Analysis
article

Optimization of Traffic Signal Timing to Minimize Queue Length at Tatarpur Intersection, Bhagalpur, Bihar

Kamala Kanta Parhi, Prashant Kumar, Sandeep Suman
article en

Abstract

Abstract - This study aims to determine the most effective traffic signal timing to reduce the number of idling vehicles at the Tatarpur Intersection during the rush hour 3 PM to 5 PM. The analysis considered all traffic movements, ensuring pedestrian safety by adhering to the U.S Federal Highway Administration's standard walking speed of four feet per second. To optimize signal duration, a linear programming approach was used, incorporating factors such as the average number of idling vehicles, existing pedestrian crossing times, and vehicular arrival rates at the intersection. Traffic flow data was collected for each movement to estimate the total number of vehicles waiting for a green signal. The findings indicate that the optimal green time for vehicles traveling from M.M College to the Railway Station was reduced by 16%. Similarly, the green time for vehicles traveling from Kotwali Chowk to M.M College also decreased by 16%. Additionally, the ideal green time for vehicles traveling from Station Road to either M.M College or Kotwali Chowk whether moving straight or making a right turn, was reduced by 12%. In conclusion, assigning longer green times to movements with higher vehicle arrivals does not always result in a proportional decrease in queuing. An extended green phase can lead to excessively long cycle times, which may cause longer queues in other directions. Thus, a balanced approach to traffic signal timing is crucial for optimizing overall intersection performance. Key Words: Traffic Signal Timing, Idling Vehicles, Linear Programming, Intersection Performance, Pedestrian Safety

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(09)
Openalex Percentile: Top 73%
Urban Transport Systems Analysis
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