Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM52705
Volume:
9 |
9 |
Sep 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
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.
KEYWORDS
Publication Date
9/21/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
3
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...