Traffic Simulation Models to Enhance Signal Timing in an Oversaturated Network: A Comparative Study of Optimizing Individual Intersections versus the Entire Network
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Issued Date
2024-01-01
Resource Type
ISSN
20869614
eISSN
20872100
Scopus ID
2-s2.0-85214941856
Journal Title
International Journal of Technology
Volume
15
Issue
6
Start Page
1678
End Page
1696
Rights Holder(s)
SCOPUS
Bibliographic Citation
International Journal of Technology Vol.15 No.6 (2024) , 1678-1696
Suggested Citation
Srisurin P., Guerra A., Jarumaneeroj P. Traffic Simulation Models to Enhance Signal Timing in an Oversaturated Network: A Comparative Study of Optimizing Individual Intersections versus the Entire Network. International Journal of Technology Vol.15 No.6 (2024) , 1678-1696. 1696. doi:10.14716/ijtech.v15i6.7123 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/102833
Title
Traffic Simulation Models to Enhance Signal Timing in an Oversaturated Network: A Comparative Study of Optimizing Individual Intersections versus the Entire Network
Author(s)
Corresponding Author(s)
Other Contributor(s)
Abstract
The objective of this study is to investigate the variations in performance of a network with multiple oversaturated intersections—particularly delays and queue lengths—generated by two different signal timing approaches, namely (i) the classical isolated signal timing approach that aims to optimize each intersection's signal timing independently and (ii) the network optimization approach that focuses more on the network's holistic performance. In doing so, two signal timing models are herein developed using Synchro—a powerful traffic simulation tool—based on the information of a real oversaturated network with six consecutive intersections located on a major arterial street of Bangkok, Thailand, during the weekday evening peak period. The results of this simulation indicate that optimal cycle lengths and the allocation of green intervals are two key success factors that help reduce average delays and queue lengths at these intersections. To this end, excessive green intervals tend to result in greater delays and queue lengths, as the remaining approaches would experience excessively long red intervals. Furthermore, the key factor that helps enhance the network's holistic performance is the allocation of coordinated green intervals considering vehicular flows on all traffic corridors. In this regard, we find that the network optimization approach is considerably more efficient, as it could help reduce average delays and queue lengths by 43.5% and 61.9% compared to the base case scenario—which is 9.7% and 9.4% better than the isolated signal timing approach, respectively.