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Performance measures and data requirements for congestion management systems
Authors:Cesar A. Quiroga  
Affiliation:1. Helmholtz-Zentrum Dresden-Rossendorf e.V., Bautzner Landstraße 400, 01328 Dresden, Germany;2. PreussenElektra GmbH, Tresckowstraße 5, 30457 Hannover, Germany;1. School of Computer Engineering and Science, Shanghai University, Shanghai 201804, China;2. Advanced Analytics Institute, University of Technology, Sydney, NSW 2007, Australia;3. School of Electronics and Information, Tongji University, Shanghai 200092, China;4. School of Transportation Engineering, Tongji University, Shanghai 200092, China;1. Department of Civil and Environmental Engineering, Faculty of Engineering and Physical Sciences (FEPS), University of Surrey, Guildford, GU2 7XH, United Kingdom;2. Environmental Flow (EnFlo) Research Centre, FEPS, University of Surrey, Guildford, GU2 7XH, United Kingdom;1. Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, China;2. School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China;3. Faculty of Maritime and Transportation, Ningbo University, Ningbo, China;1. Roads and Transportation Department, Civil & Environmental Engineering School, Tarbiat Modares University, Iran;2. Transportation Planning Department, Civil & Environmental Engineering School, Tarbiat Modares University, Iran
Abstract:Many metropolitan areas have started programs to monitor the performance of their transportation network and to develop systems to measure and manage congestion. This paper presents a review of issues, procedures, and examples of application of geographic information system (GIS) technology to the development of congestion management systems (CMSs). The paper examines transportation network performance measures and discusses the benefit of using travel time as a robust, easy to understand performance measure. The paper addresses data needs and examines the use of global positioning system (GPS) technology for the collection of travel time and speed data. The paper also describes GIS platforms and sample user interfaces to process the data collected in the field, data attribute requirements and database schemas, and examples of application of GIS technology for the production of maps and tabular reports.
Keywords:Congestion management systems   Travel time   GPS   GIS   Dynamic segmentation   Performance measures
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