Prototype of an Advanced Technology for Real-Time Incident-Responsive Traffic Signal Control at Isolated Intersections

碩士 === 國立臺灣大學 === 土木工程學研究所 === 88 === Real-time incident-responsive traffic control and management is vital to development of advanced incident management systems in ITS. More importantly, it provides, from an academic point of view, the linkages among the fields of incident detection, incident man...

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Main Authors: Weng, Mei-Chuan, 翁美娟
Other Authors: Chou, Yi-Hwa
Format: Others
Language:zh-TW
Published: 2000
Online Access:http://ndltd.ncl.edu.tw/handle/86132896402699881382
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spelling ndltd-TW-088NTU000151072016-01-29T04:14:31Z http://ndltd.ncl.edu.tw/handle/86132896402699881382 Prototype of an Advanced Technology for Real-Time Incident-Responsive Traffic Signal Control at Isolated Intersections 即時應變事故之獨立路口號誌控制系統雛型研究 Weng, Mei-Chuan 翁美娟 碩士 國立臺灣大學 土木工程學研究所 88 Real-time incident-responsive traffic control and management is vital to development of advanced incident management systems in ITS. More importantly, it provides, from an academic point of view, the linkages among the fields of incident detection, incident management, and traffic signal control. This paper presents a stochastic optimal control approach to explore its applicability to real-time incident-responsive traffic control at isolated intersections. In the methodology development, time-varying lane traffic state variables and control variables are specified in an attempt to characterize section-wide inter-lane and intra-lane traffic states under conditions of lane-blocking incidents. Following specification of system states, a stochastic model which comprises four types of equations, including: 1) recursive equations, 2) measurement equations, 3) incident-induced delay equations, and 4) boundary constraints, is formulated. Based on the proposed stochastic model, a stochastic optimal control algorithm is then developed in an effort to update the time-varying control variables as well as lane traffic state variables in real time in the presence of lane-blocking incidents at isolated intersections. To generate efficiently traffic data used in model tests, an advanced microscopic traffic simulator, Paramics, Version 3.0, which is developed to model and analyze ITS traffic flow conditions is employed. The preliminary test results indicate that the proposed method is promising to accomplish the goal of real-time incident-responsive traffic signal control. In addition to proposing a new methodology, we do expect that this study can initiate the study field of real-time incident-responsive traffic control and management to achieve the final goal of network-wide incident-responsive traffic optimal control for incident management. Keyword: real time, incident-responsive, traffic signal control, isolated intersectins, ITS, stochastic optimal control , Paramics. Chou, Yi-Hwa 1. Sheu, Jiuh-Biing 周義華華 許鉅秉 2000 學位論文 ; thesis 0 zh-TW
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language zh-TW
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sources NDLTD
description 碩士 === 國立臺灣大學 === 土木工程學研究所 === 88 === Real-time incident-responsive traffic control and management is vital to development of advanced incident management systems in ITS. More importantly, it provides, from an academic point of view, the linkages among the fields of incident detection, incident management, and traffic signal control. This paper presents a stochastic optimal control approach to explore its applicability to real-time incident-responsive traffic control at isolated intersections. In the methodology development, time-varying lane traffic state variables and control variables are specified in an attempt to characterize section-wide inter-lane and intra-lane traffic states under conditions of lane-blocking incidents. Following specification of system states, a stochastic model which comprises four types of equations, including: 1) recursive equations, 2) measurement equations, 3) incident-induced delay equations, and 4) boundary constraints, is formulated. Based on the proposed stochastic model, a stochastic optimal control algorithm is then developed in an effort to update the time-varying control variables as well as lane traffic state variables in real time in the presence of lane-blocking incidents at isolated intersections. To generate efficiently traffic data used in model tests, an advanced microscopic traffic simulator, Paramics, Version 3.0, which is developed to model and analyze ITS traffic flow conditions is employed. The preliminary test results indicate that the proposed method is promising to accomplish the goal of real-time incident-responsive traffic signal control. In addition to proposing a new methodology, we do expect that this study can initiate the study field of real-time incident-responsive traffic control and management to achieve the final goal of network-wide incident-responsive traffic optimal control for incident management. Keyword: real time, incident-responsive, traffic signal control, isolated intersectins, ITS, stochastic optimal control , Paramics.
author2 Chou, Yi-Hwa
author_facet Chou, Yi-Hwa
Weng, Mei-Chuan
翁美娟
author Weng, Mei-Chuan
翁美娟
spellingShingle Weng, Mei-Chuan
翁美娟
Prototype of an Advanced Technology for Real-Time Incident-Responsive Traffic Signal Control at Isolated Intersections
author_sort Weng, Mei-Chuan
title Prototype of an Advanced Technology for Real-Time Incident-Responsive Traffic Signal Control at Isolated Intersections
title_short Prototype of an Advanced Technology for Real-Time Incident-Responsive Traffic Signal Control at Isolated Intersections
title_full Prototype of an Advanced Technology for Real-Time Incident-Responsive Traffic Signal Control at Isolated Intersections
title_fullStr Prototype of an Advanced Technology for Real-Time Incident-Responsive Traffic Signal Control at Isolated Intersections
title_full_unstemmed Prototype of an Advanced Technology for Real-Time Incident-Responsive Traffic Signal Control at Isolated Intersections
title_sort prototype of an advanced technology for real-time incident-responsive traffic signal control at isolated intersections
publishDate 2000
url http://ndltd.ncl.edu.tw/handle/86132896402699881382
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