Authors : Taslim Bahar; Gracia Paulina Mua; Ratnasari Ramlan

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

Google Scholar : https://tinyurl.com/yc7rfemk

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 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 Intersectio, Geometric Characteristics, Platoon, PKJI, Degree of Saturation, Recovery Time, Stopping Time, Stop Line.

References :

1. Bahar, T., & Mashuri, M. (2025). User perception model of urban public transport service satisfaction (Issue ICOSIET 2024). Atlantis Press International BV. https://doi.org/10.2991/978-94-6463-768-7
2. Bhandari, S. B., Shahi, P. B., Sharma, R. R., & Sharma, K. K. (2024). Bridges in Nepal: Enhancing connectivity and economic development. The Open Transportation Journal, 19(1), 1–14. https://doi.org/10.2174/0126671212357746241125101606
3. Central Sulawesi Provincial Statistics Agency. (n.d.). Number of Motor Vehicles by Regency/City and Type of Vehicle in Central Sulawesi Province (units), 2004. Retrieved from Central Sulawesi BPS: https://sulteng.bps.go.id/id/statistics-
4. Directorate General of Highways. (2023). Indonesian Highway Capacity Guidelines (PKJI 2023). Jakarta: Ministry of Public Works and Housing.
5. Ebrahimpour, A., Baibordy, A., & Ibrahim, A. (2025). Developing a research roadmap for highway bridge infrastructure innovation: A case study. Infrastructures, 10(6), 1–42. https://doi.org/10.3390/infrastructures10060133
6. Gartner, N., Messer, C., & Rathi, A. (2001). Traffic Flow Theory: A State-of-the-Art Report. Washington, D.C.: Transportation Research Board, National Research Council.
7. Kadir, A. (2004). Introduction to Transportation Systems. Jakarta: Ghalia Indonesia.
8. Kotaem, A., Ohmori, N., & Mosa, A. (2025). Impact of public transportation infrastructure development on network coverage and travel time. Urban and Regional Planning Review, 12(0), 126–146. https://doi.org/10.14398/urpr.12.126
9. Liu, H., Ma, W., & Wu, X. (2004). Modeling traffic platoon dispersion at signalized intersections. Transportation Research Record: Journal of the Transportation Research Board, 140–147.
10. Mashros, N., Hassan, N. A., Yunus, N. Z., & Ab. Kadir, M. A. (2014). Exploring the pattern of platoon dispersion caused by traffic signals. Journal, 7–13.
11. Masum, R. A. (n.d.). Optimization of intersections using coordinated systems in Kediri City.
12. Mathew, J., Thomas, H., Sharma, A., Devi, L., & Rilett, L. (2013). Studying platoon dispersion characteristics under heterogeneous traffic conditions. Procedia - Social and Behavioral Sciences, 422–429.
13. Nasution, M. (2004). Transportation Management. Jakarta: Ghalia Indonesia.
14. NK Winasih, T., Bahar, T., & Pradani, N. (2025). Traffic performance of the Yos Sudarso – Tombolututu Road intersection.
15. Ramayanti, S., Adji, B. M., & Yosritzal. (2022). The effect of leader vehicle variation and platoon length on speed. Ruang Teknik Journal.
16. Ramayanti, S., Adji, B. M., & Yosritzal, Y. (2022). The effect of leader vehicle variation and platoon length on speed. Rang Teknik Journal, 5(1), 61–68. https://doi.org/10.31869/rtj.v5i1.2734
17. Ramlan, R., Patunrangi, J., Kasan, M., & Talibu, D. A. (2024). Are direct left-turns a smart solution for a sustainable traffic future? (Issue ICOSIET). Atlantis Press International BV. https://doi.org/10.2991/978-94-6463-768-7
18. Roess, R., Prassas, E., & McShane, W. (2010). Traffic Engineering (4th ed.). Upper Saddle River, NJ: Pearson Education.
19. Science, E. (n.d.). Investigation of traffic accident-prone roads in Palu City. https://doi.org/10.1088/1755-1315/1157/1/012026
20. Suryani, S., Patunrangi, J., & Ramlan, R. (2024). Analysis of the impact of the presence of Grand The Sya Hotel on traffic performance on Sam Ratulangi Road. Mutiara: Multidisciplinary Scientific Journal, 836–843.
21. Susilo, Y., Joewono, T., Santosa, W., & Parikesit, D. (2007). A reflection of motorization and public transport in the Jakarta metropolitan area. IATSS Research, 31(1).
22. Tarigan, R. (2005). Urban and Regional Planning. Jakarta: Bumi Aksara.