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Practitioner-Centric Approach for Early Incident Detection Using Crowdsourced Data for Emergency Services

  • Published:2021-12 Issue: Volume: Page:
  • ISSN:
  • Container-title:2021 IEEE International Conference on Data Mining (ICDM)
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Author:

Senarath Yasas,Mukhopadhyay Ayan,Vazirizade Sayyed Mohsen,Purohit Hemant,Nannapaneni Saideep,Dubey Abhishek

Funder

George Mason University

National Science Foundation

Tennessee Department of Transportation

Publisher

IEEE

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Development of Incident Detection Algorithms Compatible with Low-Temporal-Resolution Traffic Detectors and Limited Incident Data: From a Comprehensive Review to a Systematic Numerical Analysis;2024

2. Traffic Anomaly Detection Via Conditional Normalizing Flow;2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC);2022-10-08

3. Anomaly based Incident Detection in Large Scale Smart Transportation Systems;2022 ACM/IEEE 13th International Conference on Cyber-Physical Systems (ICCPS);2022-05

4. Designing Decision Support Systems for Emergency Response: Challenges and Opportunities;2022 Workshop on Cyber Physical Systems for Emergency Response (CPS-ER);2022-05
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