| Summary: | 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.
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