Path Reconstruction of Intelligent Traffic Based on Positive Feedback System
Path Reconstruction of Intelligent Traffic Based on Positive Feedback System
- New search for: Zhang, Xue-Li
- New search for: Zhang, Xue-Li
Traffic congestion are prevalent in worldwide cities. The imbalance between demand and supply of urban traffic is the root cause of this problem. So taking effective measures to regulate traffic demand, and guiding the traffic problems of the supply and demand balance is the best way to solve traffic congestion. This paper improves the TDM measure, and combines with intelligent information platform for the design of a new urban transport demand management adaptability of dynamic traffic data analysis platform. The platform supported by the technology of wireless sensor communications, intelligent terminals, the Internet and cloud computing is facing with the dynamic needs of traffic flow and traffic congestion state to carry out the operations of spatiotemporal data mining, clustering, and track detection, and to apply it into the traffic hot spots, abnormal driving track, traffic congestion trends and traffic flow detection and analysis, which has a good reference value for the improvement of management and service level of traffic intelligent systems.
Document information
Path Reconstruction of Intelligent Traffic Based on Positive Feedback System
2014
5 Seiten
Conference paper
English
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