research-article

Intelligent Traffic Analytics: From Monitoring to Controlling

Authors:

Sheng Wang,

Yunzhuang Shen,

Zhifeng Bao,

Xiaolin QinAuthors Info & Claims

WSDM '19: Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining

Pages 778 - 781

https://doi.org/10.1145/3289600.3290615

Published: 30 January 2019 Publication History

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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. A preliminary version of T4 is available at https://sites.google.com/site/shengwangcs/torch.

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Cited By

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Liang AYao BWang BLiu YChen ZXie JLi F(2024)Sub-trajectory clustering with deep reinforcement learningThe VLDB Journal10.1007/s00778-023-00833-w33:3(685-702)Online publication date: 25-Jan-2024
https://doi.org/10.1007/s00778-023-00833-w
Mishra VMishra MDewangan BChoudhury T(2023)An Efficient Trajectory Representative Generation Moving Web-Based Data Prediction Using Different Clustering AlgorithmsInternational Journal of Information System Modeling and Design10.4018/IJISMD.31613213:7(1-16)Online publication date: 13-Jan-2023
https://doi.org/10.4018/IJISMD.316132
Srivastava NTanaje SKulkarni ANavan MChowdhary AGohil B(2023)XGBoost-based dynamic ride-sharing model for New York City.2023 6th International Conference on Information Systems and Computer Networks (ISCON)10.1109/ISCON57294.2023.10112119(1-5)Online publication date: 3-Mar-2023
https://doi.org/10.1109/ISCON57294.2023.10112119
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Intelligent Traffic Analytics: From Monitoring to Controlling
1. Information systems
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Published In

WSDM '19: Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining

January 2019

874 pages

ISBN:9781450359405

DOI:10.1145/3289600

General Chairs:
J. Shane Culpepper
RMIT University
,
Alistair Moffat
The University of Melbourne
,
Program Chairs:
Paul N. Bennett
Microsoft
,
Kristina Lerman
University of Southern California

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Association for Computing Machinery

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Published: 30 January 2019

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WSDM '19: The Twelfth ACM International Conference on Web Search and Data Mining

February 11 - 15, 2019

Melbourne VIC, Australia

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WSDM '19 Paper Acceptance Rate 84 of 511 submissions, 16%;

Overall Acceptance Rate 498 of 2,863 submissions, 17%

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Liang AYao BWang BLiu YChen ZXie JLi F(2024)Sub-trajectory clustering with deep reinforcement learningThe VLDB Journal10.1007/s00778-023-00833-w33:3(685-702)Online publication date: 25-Jan-2024
https://doi.org/10.1007/s00778-023-00833-w
Mishra VMishra MDewangan BChoudhury T(2023)An Efficient Trajectory Representative Generation Moving Web-Based Data Prediction Using Different Clustering AlgorithmsInternational Journal of Information System Modeling and Design10.4018/IJISMD.31613213:7(1-16)Online publication date: 13-Jan-2023
https://doi.org/10.4018/IJISMD.316132
Srivastava NTanaje SKulkarni ANavan MChowdhary AGohil B(2023)XGBoost-based dynamic ride-sharing model for New York City.2023 6th International Conference on Information Systems and Computer Networks (ISCON)10.1109/ISCON57294.2023.10112119(1-5)Online publication date: 3-Mar-2023
https://doi.org/10.1109/ISCON57294.2023.10112119
Tedjopurnomo DLi XBao ZCong GChoudhury FQin A(2021)Similar Trajectory Search with Spatio-Temporal Deep Representation LearningACM Transactions on Intelligent Systems and Technology10.1145/346668712:6(1-26)Online publication date: 11-Dec-2021
https://dl.acm.org/doi/10.1145/3466687
Wang SBao ZCulpepper JCong G(2021)A Survey on Trajectory Data Management, Analytics, and LearningACM Computing Surveys10.1145/344020754:2(1-36)Online publication date: 5-Mar-2021
https://dl.acm.org/doi/10.1145/3440207
Wang SBao ZCulpepper JSellis TQin X(2019)Fast large-scale trajectory clusteringProceedings of the VLDB Endowment10.14778/3357377.335738013:1(29-42)Online publication date: 1-Sep-2019
https://dl.acm.org/doi/10.14778/3357377.3357380

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Traffic prediction for dynamic traffic engineering

A traffic scheduling framework in broadband wireless access systems

An improved traffic coordination control integrating traffic flow prediction and optimization

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