Traffic Management at the Intersection in front of Yothinburana School

Authors

  • Sasiporn Peerapatthanapong Department of Civil Engineering, Faculty of Engineering, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand
  • เทอดศักดิ์ รองวิริยะพานิช Department of Civil Engineering, Faculty of Engineering, King Mongkut's University of Technology North Bangkok, Bangkok, Thailand

Keywords:

Intersection Management, Micro-Simulation traffic Model, Traffic Signals

Abstract

The objective of this research is to study and analyze appropriate traffic management models for the intersection in front of Yothinburana School, with the aim of improving traffic flow along Pracharat 1 Road during peak morning and evening hours. A micro-simulation traffic model (VISSIM) was employed to assist in the analysis. The study compares traffic conditions in scenarios without traffic management against those with implemented management strategies. Three traffic improvement alternatives were proposed: (1) installation of traffic signals at the Yothinburana School T-intersection, (2) installation of traffic signals at the intersection and closure of the U-turn point on Pracharat 1 Road, and (3) installation of traffic signals at the
U-turn in front of the Welfare Building of the Office of the Permanent Secretary.

Traffic data were collected through field surveys conducted in front of Yothinburana School and along Pracharat 1 Road during peak morning hours (6:30–7:30 AM) and evening hours (5:00–6:00 PM) at the beginning of the week, when traffic volumes are typically at their highest. The suitability of traffic patterns was assessed based on several traffic performance indicators, including average delay, average speed, total travel distance, and total travel time within the simulated road network.

Analysis results reveal that the scenario involving the installation of traffic signals at the Yothinburana School intersection along with the closure of the U-turn point on Pracharat 1 Road significantly improves traffic flow. In this scenario, average delays were reduced by 11% during the morning peak and by 28% during the evening peak. Furthermore, total travel time was reduced by 11% in the morning and 17% in the evening.

Published

2025-06-25

How to Cite

[1]
S. Peerapatthanapong and รองวิริยะพานิช เ., “Traffic Management at the Intersection in front of Yothinburana School”, Thai NCCE Conf 30, vol. 30, p. TRL-25, Jun. 2025.

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