Reducing Congestion via Coordination of Signalized Intersection on Corridor KH. Abdul Halim Majalengka District

KH Abdul Halim Street have three intersections where the conditions are uncoordinated, resulting in vehicles that have just passed Mambo Market Intersection having to stop and wait for the green phase again at Abok Intersection, and a similar situation occurs at Tugu Kecap Intersection. Consequently...

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Main Authors: Yasa Kadek Satya Adi Dwi, Hardianto Dani, Sarjana Sri, Prasadda Ahmad Kemal
Format: Article
Language:English
Published: EDP Sciences 2024-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/123/e3sconf_ies2024_02005.pdf
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author Yasa Kadek Satya Adi Dwi
Hardianto Dani
Sarjana Sri
Prasadda Ahmad Kemal
author_facet Yasa Kadek Satya Adi Dwi
Hardianto Dani
Sarjana Sri
Prasadda Ahmad Kemal
author_sort Yasa Kadek Satya Adi Dwi
collection DOAJ
description KH Abdul Halim Street have three intersections where the conditions are uncoordinated, resulting in vehicles that have just passed Mambo Market Intersection having to stop and wait for the green phase again at Abok Intersection, and a similar situation occurs at Tugu Kecap Intersection. Consequently, long queues, delays, and numerous stops, especially during peak hours, are unavoidable. Therefore, a thorough coordination analysis among the intersections is necessary to reduce traffic congestion at these three intersections. The purpose of this study is to analyze the signal coordination among the three intersections using Transyt 14.1 software. The research was conducted by analyzing primary and secondary data with Indonesian Highway Capacity Manual to obtain values for Capacity, Queue Length, Delay, Degree of Saturation, and Level of Service in the existing conditions, followed by analyzing the existing signal settings at these intersections using the Time-Distance Method diagram. The signal coordination analysis was carried out using Transyt 14.1, and the results from the software were compared with the existing conditions. The study results show that the delay has increased from the existing conditions at Pasar Mambo, Abok, and Tugu Kecap Intersections. The Degree of Saturation has decreased, and the Queue Length has also decreased. The novelty of this research lies in its practical application of signal optimization software to an understudied area, offering actionable recommendations for local governments to improve urban traffic flow and reduce congestion on busy corridors.
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issn 2267-1242
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publishDate 2024-01-01
publisher EDP Sciences
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spelling doaj-art-1baf683e59ab4ed9925a51c7df8f2e252024-12-06T10:10:57ZengEDP SciencesE3S Web of Conferences2267-12422024-01-015930200510.1051/e3sconf/202459302005e3sconf_ies2024_02005Reducing Congestion via Coordination of Signalized Intersection on Corridor KH. Abdul Halim Majalengka DistrictYasa Kadek Satya Adi Dwi0Hardianto Dani1Sarjana Sri2Prasadda Ahmad Kemal3Department of Land Transportation, Politeknik Transportasi Darat Indonesia – STTDDepartment of Road Transportation Management, Politeknik Transportasi Darat Indonesia – STTDDepartment of Marketing Innovation and Technology, Politeknik Transportasi Darat Indonesia – STTDDepartment of Land Transportation, Politeknik Transportasi Darat Indonesia – STTDKH Abdul Halim Street have three intersections where the conditions are uncoordinated, resulting in vehicles that have just passed Mambo Market Intersection having to stop and wait for the green phase again at Abok Intersection, and a similar situation occurs at Tugu Kecap Intersection. Consequently, long queues, delays, and numerous stops, especially during peak hours, are unavoidable. Therefore, a thorough coordination analysis among the intersections is necessary to reduce traffic congestion at these three intersections. The purpose of this study is to analyze the signal coordination among the three intersections using Transyt 14.1 software. The research was conducted by analyzing primary and secondary data with Indonesian Highway Capacity Manual to obtain values for Capacity, Queue Length, Delay, Degree of Saturation, and Level of Service in the existing conditions, followed by analyzing the existing signal settings at these intersections using the Time-Distance Method diagram. The signal coordination analysis was carried out using Transyt 14.1, and the results from the software were compared with the existing conditions. The study results show that the delay has increased from the existing conditions at Pasar Mambo, Abok, and Tugu Kecap Intersections. The Degree of Saturation has decreased, and the Queue Length has also decreased. The novelty of this research lies in its practical application of signal optimization software to an understudied area, offering actionable recommendations for local governments to improve urban traffic flow and reduce congestion on busy corridors.https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/123/e3sconf_ies2024_02005.pdf
spellingShingle Yasa Kadek Satya Adi Dwi
Hardianto Dani
Sarjana Sri
Prasadda Ahmad Kemal
Reducing Congestion via Coordination of Signalized Intersection on Corridor KH. Abdul Halim Majalengka District
E3S Web of Conferences
title Reducing Congestion via Coordination of Signalized Intersection on Corridor KH. Abdul Halim Majalengka District
title_full Reducing Congestion via Coordination of Signalized Intersection on Corridor KH. Abdul Halim Majalengka District
title_fullStr Reducing Congestion via Coordination of Signalized Intersection on Corridor KH. Abdul Halim Majalengka District
title_full_unstemmed Reducing Congestion via Coordination of Signalized Intersection on Corridor KH. Abdul Halim Majalengka District
title_short Reducing Congestion via Coordination of Signalized Intersection on Corridor KH. Abdul Halim Majalengka District
title_sort reducing congestion via coordination of signalized intersection on corridor kh abdul halim majalengka district
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2024/123/e3sconf_ies2024_02005.pdf
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