Development of simulation based real-time traffic light scheduling system

This project aims to demonstrate a specific real-time traffic light scheduling strategy called Split Cycle Offset Optimization Technique (SCOOT). Since the predecessor of SCOOT is TRANSYT system, its optimization process is introduced on the basis of TRANSYT and implemented by code. A traffic networ...

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主要作者: Wang, Xiaoman
其他作者: Su Rong
格式: Thesis-Master by Coursework
語言:English
出版: Nanyang Technological University 2022
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在線閱讀:https://hdl.handle.net/10356/155496
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spelling sg-ntu-dr.10356-1554962023-07-04T17:02:39Z Development of simulation based real-time traffic light scheduling system Wang, Xiaoman Su Rong School of Electrical and Electronic Engineering RSu@ntu.edu.sg Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering This project aims to demonstrate a specific real-time traffic light scheduling strategy called Split Cycle Offset Optimization Technique (SCOOT). Since the predecessor of SCOOT is TRANSYT system, its optimization process is introduced on the basis of TRANSYT and implemented by code. A traffic network of streets around Marina Bay is developed in VISSIM to evaluate the performance of SCOOT, and another real-time traffic light scheduling strategy called Sydney Coordinated Adaptive Traffic System (SCATS) is used for comparison with SCOOT. In addition, COM interface of VISSIM is also taken advantage of to satisfy the demands of real-time dynamic adjustment of traffic signal timing. This thesis contains theoretical knowledge in the related transportation field, as well as experimental design and simulation results. Master of Science (Computer Control and Automation) 2022-03-01T06:54:02Z 2022-03-01T06:54:02Z 2021 Thesis-Master by Coursework Wang, X. (2021). Development of simulation based real-time traffic light scheduling system. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/155496 https://hdl.handle.net/10356/155496 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
spellingShingle Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
Wang, Xiaoman
Development of simulation based real-time traffic light scheduling system
description This project aims to demonstrate a specific real-time traffic light scheduling strategy called Split Cycle Offset Optimization Technique (SCOOT). Since the predecessor of SCOOT is TRANSYT system, its optimization process is introduced on the basis of TRANSYT and implemented by code. A traffic network of streets around Marina Bay is developed in VISSIM to evaluate the performance of SCOOT, and another real-time traffic light scheduling strategy called Sydney Coordinated Adaptive Traffic System (SCATS) is used for comparison with SCOOT. In addition, COM interface of VISSIM is also taken advantage of to satisfy the demands of real-time dynamic adjustment of traffic signal timing. This thesis contains theoretical knowledge in the related transportation field, as well as experimental design and simulation results.
author2 Su Rong
author_facet Su Rong
Wang, Xiaoman
format Thesis-Master by Coursework
author Wang, Xiaoman
author_sort Wang, Xiaoman
title Development of simulation based real-time traffic light scheduling system
title_short Development of simulation based real-time traffic light scheduling system
title_full Development of simulation based real-time traffic light scheduling system
title_fullStr Development of simulation based real-time traffic light scheduling system
title_full_unstemmed Development of simulation based real-time traffic light scheduling system
title_sort development of simulation based real-time traffic light scheduling system
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/155496
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