Authors : Gracia Paulina Mua; Taslim Bahar; Ratnasari Ramlan

Volume/Issue : Volume 11 - 2026, Issue 3 - March

Scribd : https://tinyurl.com/yd5zdwrm

DOI : https://doi.org/10.38124/ijisrt/26mar1452

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : Transportation is an essential component in supporting mobility and socio-economic activities. The increase in the number of vehicles has led to various traffic problems, such as congestion, delays, and the risk of accidents. The signalized intersection (APILL) located at Jl. Sudirman, Jl. Sam Ratulangi, Jl. Haji Hayun, and Jl. Cik Ditiro has different geometric and functional characteristics because each approach is under different authorities and classifications within the road network system. This study aims to identify the existing performance of the intersection at Jl. Sam Ratulangi – Jl. Cik Ditiro – Jl. Sudirman – Jl. Haji Hayun, analyze the deceleration time required for vehicles to stop at the stop line at the signalized intersection, analyze the recovery time required for vehicles within a platoon to move from a stationary condition to reach normal speed, and examine the relationship between recovery time and traffic flow at the signalized intersection. Data collection in this study was carried out through traffic surveys and observations of vehicle stopping and movement times at the stop line. The data analysis was conducted using the Indonesian Highway Capacity Guidelines (PKJI) method. Based on the analysis of the signalized intersection performance at the Jl. Sudirman – Jl. Sam Ratulangi – Jl. Cik Ditiro – Jl. Haji Hayun intersection, the results indicate high values during peak hours, with the degree of saturation (DS) for all intersection approaches exceeding 0.85. Motorcycles have an average deceleration time of 8.56 seconds, while passenger cars have an average of 8.79 seconds and heavy vehicles 9.12 seconds. Motorcycles exhibit the fastest recovery time at 7.57 seconds, followed by passenger cars at 9.27 seconds and heavy vehicles at 9.5 seconds. The analysis shows a linear and positive relationship between vehicle volume and speed recovery time for all vehicle types. The higher the traffic volume, the longer the time required for vehicles to return to their normal speed after stopping at the stop line. During the afternoon period, with a total traffic volume of 2,178 vehicles and a degree of saturation of 0.64, the analysis results indicate that vehicle volume is the dominant factor influencing vehicle speed recovery time.

Keywords : Signalized Intersection, APILL, Geometric Characteristics, Platoon, PKJI, Degree of Saturation, Recovery Time, Stopping Time, Stop Line.

References :

1. Amalia, N. (2020). Evaluation of road maintenance through the integration of PCI and LCCA methods. Journal of Infrastructure, 8(2), 67–76.
2. Directorate General of Highways, Ministry of Public Works and Housing. (2017). Road Pavement Manual 2017. Ministry of Public Works and Housing.
3. Directorate General of Highways Engineering. (2021). Planning and Programming of Road Network Preservation Works.
4. Fahrulyanda, A. R., Burhamtoro, & Susilo, H. (2023). Evaluation of pavement damage levels and treatment using Pavement Condition Index (PCI) based on Pd 01-2016-B on Krebet–Hayam Wuruk Road, Malang Regency. Journal of Construction Engineering Management (Undergraduate Thesis Series), Polinema.
5. Ministry of Public Works and Housing. (2011). Regulation of the Minister of Public Works No. 13 of 2011.
6. Puslitbang Road and Bridge. (2016). Guidelines for Determining Pavement Condition Index (PCI). Bandung: Ministry of Public Works and Housing.
7. Raedi, A., Haq, A., Iskandar, D., & Hadijah, I. (2020). Performance-based road maintenance using Life Cycle Cost method (Case study: Trans-Sumatra Road, Lampung). [Journal Name], 1(1).
8. Rachman, D. N., & Sari, P. I. (2020). Analysis of road damage using the PCI method and 13 handling strategies (Case study: Srijaya Raya National Road, Palembang KM 8+149 to KM 9+149). Journal of Civil Engineering UNPAL, 10(1).
9. Rahmawati, D. (2014). Life cycle cost comparison study for rigid and flexible pavements. National Road Implementation Agency VI, Makassar.
10. Reherman. (2006). FHWA Highway Construction Noise Handbook. U.S. Department of Transportation.
11. Saputra, Y. A., & Saputra, H. (2024). Inventory of road damage at SDN 04 Damon Bengkalis using the PCI method with ArcGIS 10.8. Inovtek Civil Engineering and Applications (TEKLA), 6(1), 1–9.
12. Setiadji, B. (2015). Analysis of road maintenance strategies based on Life Cycle Cost Analysis (LCCA). Journal of Civil Engineering, 22(1), 45–56.
13. Siswanto, H., Sulistio, H., Djakfar, L., & Wicaksono, A. (2016). Road management system and pavement condition in Indonesia: A literature review. ATPW.
14. Stankevich, N., Qureshi, N., & Queiroz, C. (2009). Performance-based contracting for preservation and improvement of road assets.
15. Susanti, B., & Wirahadikusumah, R. D. (2014). Life-cycle cost research framework for national road maintenance projects using performance-based contracts.
16. Law of the Republic of Indonesia No. 2 of 2022. (2022). Law No. 2 of 2022.