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Intelligent Traffic Analytics: From Monitoring to Controlling

conference contribution
posted on 2024-11-03, 12:20 authored by Sheng Wang, Yunzhuang Shen, Zhifeng Bao, Xiaolin Qin
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.

Funding

Continuous and summarised search over evolving heterogeneous data

Australian Research Council

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Continuous intent tracking for virtual assistance using big contextual data

Australian Research Council

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History

Related Materials

  1. 1.
    DOI - Is published in 10.1145/3289600.3290615
  2. 2.
    ISBN - Is published in 9781450359405 (urn:isbn:9781450359405)

Start page

778

End page

781

Total pages

4

Outlet

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019

Name of conference

Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019

Publisher

Association for Computing Machinery (ACM)

Place published

New York, USA

Start date

2019-02-11

End date

2019-02-15

Language

English

Copyright

© 2019 owner/author(s).

Former Identifier

2006090054

Esploro creation date

2020-06-22

Fedora creation date

2019-03-26

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