ANALISIS KOORDINASI SIMPANG DI JALAN PANGLIMA SUDIRMAN, KOTA PROBOLINGGO MENGGUNAKAN METODE SOFTWARE TRANSYT

FIQRI ANUGRAH AMINUDDIN, FIQRI and OCKY SOELISTYO PRIBADI, OCKY and Edi Santosa, Edi (2024) ANALISIS KOORDINASI SIMPANG DI JALAN PANGLIMA SUDIRMAN, KOTA PROBOLINGGO MENGGUNAKAN METODE SOFTWARE TRANSYT. ANALISIS KOORDINASI SIMPANG DI JALAN PANGLIMA SUDIRMAN, KOTA PROBOLINGGO MENGGUNAKAN METODE SOFTWARE TRANSYT. (Submitted)

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Abstract

Probolinggo City is strategically located on the North Coast Road (Pantura) and serves as a transit hub, connecting eastern regions like Situbondo, Jember, Lumajang, and Bondowoso with western regions such as Pasuruan, Malang, and Surabaya, and acting as a gateway for tourists heading to Bromo Tengger Semeru National Park. The city's increasing economic activity has led to higher mobility and consequently, transportation challenges, particularly traffic congestion at intersections. Probolinggo’s grid road pattern results in numerous intersections that can cause traffic conflicts and delays. Discussions at the Probolinggo Traffic Forum highlighted significant congestion at three consecutive intersections—King, Auto 2000, and Randupangger—leading to long queues and delays, especially during peak hours. These intersections, located on Panglima Sudirman Street, are not signal-coordinated, with King and Auto 2000 being 670 meters apart, and Auto 2000 and Randupangger 320 meters apart. Coordinating traffic signals at these intersections could optimize road capacity and reduce vehicle delays. The analysis method used in this study is the optimization method. The analysis was conducted using TRANSYT software and validated using the Chi-Square method. Subsequently, intersection optimization was performed by coordinating the traffic signal/cycle time using two scenarios: the first scenario involved changing the cycle time, and the second scenario involved reducing phases. Performance data of the intersections after coordination were obtained. Furthermore, forecasting for the next five years was conducted using the best scenario to assess the performance index. If the performance index deteriorates, re-coordination will be necessary. Based on the comparison of traffic performance results, it is evident that the proposed optimization and coordination significantly improved intersection performance. This improvement is reflected in the increased level of service (LOS) at each intersection: King Intersection improved from LOS D to LOS B, Auto 2000 Intersection improved from LOS D to LOS B, and Randupangger Intersection improved from LOS D to LOS B after coordination. Additionally, the Volume of Traffic (VOT) decreased from the existing Rp 221.70 to Rp 102.00 after coordination using Scenario 2.

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