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原文传递 Estimation of Time-Dependent Intersection Turning Proportions for Adaptive Traffic Signal Control under Limited Link Traffic Counts from Heterogeneous Sensors

题名：	Estimation of Time-Dependent Intersection Turning Proportions for Adaptive Traffic Signal Control under Limited Link Traffic Counts from Heterogeneous Sensors
作者：	Liou, H.; Hu, S.; Peeta, S.
关键词：	Heterogeneous sensors##Traffic signal control systems##Traffic safety##Urban intersections##Traffic management systems##Adaptive traffic signal control##
摘要：	To improve traffic safety and efficiency of urban intersections, a traffic signal control system is one of the essential components of urban traffic management systems. Theoretically, an adaptive traffic signal control (ATSC) logic is superior to a pre-time or an actuated traffic signal control logic, because it can instantly respond to traffic dynamics to provide the respective signal control strategies by on-line algorithmic computations of desirable timing plans in order to reduce travel delays and/or queue lengths. In practical applications, implementation of an ATSC system requires three components: 1) a comprehensive detective infrastructure for traffic data collection, 2) traffic flow models for on-line estimating/predicting traffic flow dynamics and/or propagations, and 3) signal control logics and/or models to determine the optimal signal timing plans. Past studies have developed various ATSC systems for field applications. These ATSC systems can be classified into two categories (Stevanovic, 2010). The first category of the systems develops traffic flow prediction models for the on-line determination of optimal cycles, splits, and offsets, and its control logic is based on a cyclical signal timing principle. These systems include: Split, Cycle, and Offset Optimisation Technique (SCOOT), Sydney Coordinated Adaptive Traffic System (SCATS), Adaptive Control Software Lite (ACS-Lite), Balancing Adaptive Network Control method (BALANCE), Method For The Optimisation Of Traffic Signals In Online Controlled Networks (MOTION). The second category of the systems compares the performance of various competitive signal timing plans based on real-time vehicular information to determine green times or unit extensions, and its control logic has no fixed cycles and splits. These systems include: Optimized Policies for Adaptive Control (OPAC), Real-Time Hierarchical Optimized Distributed Effective System (RHODES), InSync, COMDYCS-3E. Most existing ATSC systems require observed traffic link flows from densely installed sensors to capture dynamic vehicular evolutions, and some of them assume fixed intersection turning proportions, which is not realistic from a practical application’s perspective. To resolve these problems, this study solves the intersection turning proportions estimation problem by a Nonlinear Least Squares (NLS) model by taking advantage of heterogeneous sensor information in terms of partial link flow counts via vehicle detectors (VDs) and turning flow observations by license plate recognition (LPR) sensors. In addition, this study also seeks to address the optimal heterogeneous sensor deployment problem that maximizes traffic observability at urban intersections for a robust ATSC system. Finally, this study proposes an integrated ATSC system by incorporating traffic flow estimation and prediction using limited traffic information provided by different types of traffic sensors. The proposed ATSC logic is developed based on the COMDYCS-3E framework (Wu and Ho, 2009) which enhances its traffic flow estimation module and incorporates the sensor location model into the data input module. The enhanced COMDYCS-3E ATSC model is capable of providing desirable signal timing plans by on-line responding to traffic flow dynamics and/or vehicular traffic demands. The remainder of this report is organized as follows. Section II describes the methodologies for the modern ATSC problem, including heterogeneous sensors deployment model, intersection turning proportions estimation and flow propagation models, and the integrated ATSC model. Section III provides the findings of the numerical analysis. Finally, summary and recommendations are respectively given in Section IV and Section V.
总页数：	18
报告类型：	科技报告