Chapter
Jul 2, 2019
Research on Road Capacity Improvement Based on Real-Time Road Condition Information and Cloud Model
Authors: Mingzhi Shi [email protected], Lishan Sun [email protected], Dewen Kong [email protected], HaiTao Yu [email protected], and Juan Shao [email protected]Author Affiliations
Publication: CICTP 2019
Abstract
Against the background of increasing urban traffic congestion, this paper aims to alleviate urban regional road congestion. Taking Beijing’s road network as the research object, the real-time information of the road network was downloaded and extracted by using the Baidu road condition extraction program. The image representation index of traffic congestion is quantified and identified through the geographical information system. At the same time, the causes of traffic congestion are analyzed from multiple perspectives. The index system for improving the capacity is constructed by combining the index system of the road network structure, traffic planning and design, traffic operation organization and management, etc. The cloud model is applied to build a comprehensive model to enhance capacity, to analyze and find out the main indexes to improve capacity of regional road network, and to provide solutions for traffic congestion alleviation.
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© 2019 American Society of Civil Engineers.
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Published online: Jul 2, 2019
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Beijing Key Laboratory of Traffic Engineering, Beijing Univ. of Technology, Beijing 100124, China. E-mail: [email protected]
Beijing Key Laboratory of Traffic Engineering, Beijing Univ. of Technology, Beijing 100124, China. E-mail: [email protected]
Beijing Key Laboratory of Traffic Engineering, Beijing Univ. of Technology, Beijing 100124, China. E-mail: [email protected]
Beijing Transportation Information Center, Beijing 100073, China. E-mail: [email protected]
Beijing Key Laboratory of Traffic Engineering, Beijing Univ. of Technology, Beijing 100124, China. E-mail: [email protected]
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