Analyzing Traffic Signal Delay Models in Tehran Network: A Comprehensive Examination under Varied Traffic Conditions via the Complementary Algorithm
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| Format: | Recurso digital |
| Language: | English |
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Zenodo
2024
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| _version_ | 1866902074023739392 |
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| author | Kazemabadi, Amir Norouzi Shavir, Mohammad |
| author_facet | Kazemabadi, Amir Norouzi Shavir, Mohammad |
| contents | <div> <div> <div> <div> <div> <div> <div> <p>The travel time experienced by users stands as a fundamental determinant of road network service quality at its core. Beyond the inherent delays within road segments, travel time on routes across the network encompasses additional impediments arising from intersections regulated by traffic signals. However, signal delay often remains inadequately addressed within Traffic Assignment models, primarily due to incomplete network information and associated complexities. This article aims to rectify this oversight by leveraging the complementary Traffic Assignment algorithm to incorporate crucial signal delay functions within the Tehran network context. By doing so, we endeavor to shed light on the nuanced impact of signal delays on travel time dynamics, particularly under both undersaturated and oversaturated traffic conditions. The application of the complementary Traffic Assignment algorithm allows for a more comprehensive evaluation of travel time, elucidating the intricate interplay between signal delays and overall network performance. Through comparative analysis across varied traffic scenarios, this study seeks to discern the differential effects of signal delays on route efficiency and user experience, thereby offering valuable insights for traffic management and infrastructure optimization efforts.</p> </div> <div> </div> </div> </div> </div> </div> </div> </div> <div> </div> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_14588402 |
| institution | Zenodo |
| language | eng |
| publishDate | 2024 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Analyzing Traffic Signal Delay Models in Tehran Network: A Comprehensive Examination under Varied Traffic Conditions via the Complementary Algorithm Kazemabadi, Amir Norouzi Shavir, Mohammad <div> <div> <div> <div> <div> <div> <div> <p>The travel time experienced by users stands as a fundamental determinant of road network service quality at its core. Beyond the inherent delays within road segments, travel time on routes across the network encompasses additional impediments arising from intersections regulated by traffic signals. However, signal delay often remains inadequately addressed within Traffic Assignment models, primarily due to incomplete network information and associated complexities. This article aims to rectify this oversight by leveraging the complementary Traffic Assignment algorithm to incorporate crucial signal delay functions within the Tehran network context. By doing so, we endeavor to shed light on the nuanced impact of signal delays on travel time dynamics, particularly under both undersaturated and oversaturated traffic conditions. The application of the complementary Traffic Assignment algorithm allows for a more comprehensive evaluation of travel time, elucidating the intricate interplay between signal delays and overall network performance. Through comparative analysis across varied traffic scenarios, this study seeks to discern the differential effects of signal delays on route efficiency and user experience, thereby offering valuable insights for traffic management and infrastructure optimization efforts.</p> </div> <div> </div> </div> </div> </div> </div> </div> </div> <div> </div> |
| title | Analyzing Traffic Signal Delay Models in Tehran Network: A Comprehensive Examination under Varied Traffic Conditions via the Complementary Algorithm |
| url | https://doi.org/10.5281/zenodo.14588402 |