Abstract

Traffic congestion in big cities of Thailand has been a major problem seriously deterring economy growth. An average travel speed has become lower than 15 km/hour during peak-hour periods. One of the current major questions is how to find the most optimum green time that minimizes vehicle delay at an intersection. Since the identification of this optimum green time significantly depends on the knowledge of how fast vehicles can pass through an intersection, the information of the maximum traffic throughputs at intersections at different locations is indispensable. In this study, therefore, traffic counts were extracted manually from the videos recorded at 4 major intersections in Saensuk city. After the data were analyzed, the maximum traffic throughputs for different lane numbers and configurations were calculated and summarized. A better understanding of this maximum traffic throughput at intersections will lead to more accurate estimation of optimal green time.

Highlights

  • Traffic congestion in Thailand has been a major problem slowing down economy growth

  • There was an attempt to use vehicle data collected from recorded videos to enhance an understanding of traffic congestion and identify the optimum green time that results in high intersection capacity

  • Intersections with high traffic congestion level in the Saensuk city were selected for this study, which include 4 major intersections that are 1) Galaxy, 2) Burapa, 3) Kao Larm, and 4) Lam Tann

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Summary

Introduction

With the number of vehicles exceeding the available roadway capacity in the network, traffic condition during rush hours becomes extremely congested. In 2015, after experiencing severe traffic congestion on major roads during peak hours, Saensuk city started a new traffic mitigation program. This new program’s first phase started the work on major intersections with the highest congested level. There was an attempt to use vehicle data collected from recorded videos to enhance an understanding of traffic congestion and identify the optimum green time that results in high intersection capacity. To be able to select the optimum green time, a good understanding of possible maximum traffic throughput at intersection is essential. The data on maximum traffic throughput for different lane numbers and configurations were collected and summarized in this study

Literature review
Data source
Maximum traffic throughout
Findings
Conclusions and recommendations
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