Intelligent Traffic Analytics: From Monitoring to Controlling

Wang, S, Shen, Y, Bao, Z and Qin, X 2019, 'Intelligent Traffic Analytics: From Monitoring to Controlling', in Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, Australia, February 11-15 2019, pp. 778-781.


Document type: Conference Paper
Collection: Conference Papers

Title Intelligent Traffic Analytics: From Monitoring to Controlling
Author(s) Wang, S
Shen, Y
Bao, Z
Qin, X
Year 2019
Conference name Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019
Conference location Melbourne, Australia
Conference dates February 11-15 2019
Proceedings title Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019
Publisher Association for Computing Machinery (ACM)
Place of publication New York, USA
Start page 778
End page 781
Total pages 4
Abstract In this paper, we would like to demonstrate an intelligent traffic analytics system called T4, which enables intelligent analytics over real-time and historical trajectories from vehicles. At the front end, we visualize the current traffic flow and result trajectories of different types of queries, as well as the histograms of traffic flow and traffic lights. At the back end, T4 is able to support multiple types of common queries over trajectories, with compact storage, efficient index and fast pruning algorithms. The output of those queries can be used for further monitoring and analytics purposes. Moreover, we train the deep models for traffic flow prediction and traffic light control to reduce traffic congestion.
Subjects Database Management
Global Information Systems
Copyright notice © 2019 owner/author(s).
ISBN 9781450359405
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Created: Tue, 26 Mar 2019, 09:36:00 EST by Catalyst Administrator
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