A study of Sam Yan intersection traffic signal management optimization

Name: Puchid Wan-ubon

Organization : Chulachomklao Royal Military Academy. Academic Division. Civil Engineering Department

Name: Tanawin Kaewmuenwai

Organization : Chulachomklao Royal Military Academy. Academic Division. Civil Engineering Department

Name: Pongpuk Tunwattanakul

Organization : Chulachomklao Royal Military Academy. Academic Division. Civil Engineering Department

Name: Jirawut Tipayachan

Organization : Chulachomklao Royal Military Academy. Academic Division. Civil Engineering Department

Name: Choompon Luon-loy

Organization : Chulachomklao Royal Military Academy. Academic Division. Civil Engineering Department

Name: Pisitchai Tongtammachard

Organization : Chulachomklao Royal Military Academy. Academic Division. Civil Engineering Department

Name: Smithipatt Khumpraphan

Organization : Chulachomklao Royal Military Academy. Academic Division. Civil Engineering Department

Email : smithipatt.kh@crma.ac.th

keyword: Anylogic

LCSH: Transportation engineering

LCSH: Traffic signs and signals

LCSH: Sam Yan Intersection

Abstract: Traffic lights are essential tools for controlling the flow of traffic at intersections, ensuring smooth and safe movement of vehicles and pedestrians. Nowadays, the traffic volume in cities has significantly increased, resulting in traffic congestion. This congestion causes unnecessary energy waste, air pollution that harms public health, and various social and economic problems. It is crucial to find solutions to traffic congestion for the betterment of the environment and the well-being of city residents. Developing more effective signal timing will result in positive changes in traffic flows and is key to addressing traffic congestion problems. This research project aims to study traffic characteristics and the relationship between traffic signals and traffic flows. Data was collected through field traffic observations over a period of several months and analyzed using Anylogic modeling software, which simulates various traffic scenarios. The study found that altering the green light duration affects overall traffic flow and delay. For instance, optimizing the green light duration based on real-time traffic conditions significantly improved traffic flow and reduced delays at intersections. However, the optimal duration may vary depending on factors such as time of day, traffic volume, and intersection design. The results of this study can be useful for temporary or permanent improvement of traffic signals at intersections and can also serve as valuable information for traffic officers in the area. Future research could explore the impact of other traffic management strategies, such as adaptive signal control technologies and traffic demand management techniques, to further alleviate traffic congestion in cities.

King Mongkut's University of Technology North Bangkok. Central Library

Address: BANGKOK

Email: library@kmutnb.ac.th

Created: 2023

Modified: 2023-09-05

Issued: 2023-09-05

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BibliograpyCitation : ใน วิศวกรรมสถานแห่งประเทศไทย ในพระบรมราชูปถัมภ์ ร่วมกับ สาขาวิชาวิศวกรรมโยธาและสิ่งแวดล้อม คณะวิศวกรรมศาสตร์ มหาวิทยาลัยสงขลานครินทร์. การประชุมวิชาการวิศวกรรมโยธาแห่งชาติ ครั้งที่ 28 (NCCE 28) (TRL48). ภูเก็ต : มหาวิทยาลัยสงขลานครินทร์

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