Traffic Flow Management: Enhancing Traffic Operations at Two Adjacent Intersections in Poblacion, San Isidro, Nueva Ecija Using PTV VISSIM
Downloads
Traffic congestion has become a major concern in Población, San Isidro, Nueva Ecija, Philippines particularly at the intersections near General de Jesus College and Jollibee–San Isidro. This study analyzed existing traffic conditions and proposed traffic management solutions using PTV VISSIM microscopic simulation. All required simulation inputs were obtained through field observations and traffic surveys, which served as the basis for developing both the existing and enhanced simulation models. Several strategies were evaluated, including the installation of traffic signals, improvement of pavement markings and signage, redesignation of loading and unloading zones, and the introduction of one-way routes. Simulation results showed a significant reduction in vehicle delays and notable improvements in the Level of Service (LOS), with most movements shifting from congested operations (LOS D–F) to stable and acceptable flow conditions (LOS A–C). These findings demonstrate that data-driven and simulation-based analysis can effectively identify congestion issues and assess the impact of targeted interventions. This research directly supports SDG 9 (Industry, Innovation, and Infrastructure) by promoting innovative traffic technologies and SDG 11 (Sustainable Cities and Communities) through the development of safer, more efficient, and sustainable urban transport systems for San Isidro.
Abdulwahab, H. A., Ogunjuyigbe, A. S. O., & Akinola, O. A. (2020). Microscopic traffic simulation for congestion analysis. Journal of Traffic and Transportation Engineering,7(3), 412–424.
Abesamis, J., Bautista, J., & Pineda, G. (2023). Optimizing road intersection design for improved traffic management in Bucana, Gapan City, Nueva Ecija using PTV VISSIM.
Aghabayk, K. (2013). Performance evaluation of microscopic traffic simulation models: A case using PTV VISSIM. International Journal of Transportation Science and Technology, 2(4), 317–330.
Akçelik, R. (2011). Comparison of traffic signal analysis methods: SIDRA vs. microsimulation. ITE Journal, 81(9), 20–28.
Azlan, N., Rahman, A., & Hassan, R. (2017). Modeling traffic flow using microscopic, macroscopic and mesoscopic simulations. Journal of Engineering and Technological Sciences, 49(1), 89–103.
Caisip, J. R., Reyes, M. K. L., Mahmoud, N. A., Canlas, M. A. M., Rivera, A. P. M., Canlas, I. G. Z., Coronel, C. J. A., & Lim, C. G. (2023). Simulation study: Effectiveness of the Unified Vehicular Volume Reduction Program at Dolores Junction, San Fernando, Pampanga using PTV VISSIM.
Chen, X., Li, L., & Wang, Y. (2017). Importance of traffic data accuracy for effective traffic management. Transportation Research Part C, 82, 110–121.
Department of Public Works and Highways (DPWH). (2012). Road Safety Design Manual. Manila, Philippines.
Fuertez, M. M., Aguinaldo, A. C. L., Cadungog, K. R., Lintag, J. V. G., Nicdao, J. B., Pangan, J. I. M., Villanueva, J. C., Tongol, J. V. G., & Mandap, J. M. B. 2023). Traffic flow simulation using PTV VISSIM: A proposed solution on Jose Abad Santos Avenue Road and Baliwag–Candaba–Sta. Ana Road intersection.
Fellendorf, M., & Vortisch, P. (2010). Microscopic traffic flow simulator VISSIM. In J. Barceló
Ge, Q., Li, P., & Sun, D. (2019). Impact of optimized traffic management strategies on congestion reduction. Journal of Advanced Transportation, 2019, 1–11.
Hamed, M., & Al-Kilidar, H. (2019). Evaluation of traffic signal timing using VISSIM simulation. International Journal of Civil Engineering and Technology, 10(3), 150–162.
Khan, S., Ahmad, M., & Iqbal, S. (2020). Optimizing traffic flow through signal adjustments: A VISSIM-based study from Pakistan. Journal of Transportation Engineering, 146(2), 04018097.
Lam, W. H., Wong, S. C., & Yang, H. (2015). Transportation system optimization. Springer.
Li, X., Chen, S., & Zhang, Q. (2018). Integrating short- term and long-term traffic management strategies. Transportation Research Record, 2672(47), 12–23.
National Economic and Development Authority (NEDA). (2016). Ambisyon Natin 2040: A long-term vision for the Philippines. NEDA, Pasig City, Philippines.
Shalaby, A., & Farhan, A. (2018). Urban congestion and sustainable mobility. Journal of Urban Planning and Development, 144(2), 1–10.
Transportation Research Board (2010). Highway Capacity Manual (HCM 2010). National Research Council, Washington, D.C.
United Nations. (2015). Transforming our world: The 2030 Agenda for Sustainable Development. United Nations, New York.
Wong, S., Leung, K., & Lam, W. (2018). Simulation- based traffic planning in urban road networks. Transportation Research Procedia, 34, 21–31.
Zhang, Y., Sun, J., & Li, P. (2021). Dynamic traffic management through continuous monitoring systems. Sensors, 21(15), 5
