Bayesian Traffic State Estimation Using Extended Floating Car Data-Reference-Cited by-同舟云学术

Bayesian Traffic State Estimation Using Extended Floating Car Data

Published:2022 Issue: Volume: Page:1-15
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Kyriacou Victor¹,Englezou Yiolanda²^ORCID,Panayiotou Christos G.²^ORCID,Timotheou Stelios²^ORCID

Affiliation:

1. Graduate School of Informatics, University of Amsterdam, Amsterdam, The Netherlands

2. Department of Electrical and Computer Engineering, KIOS Research and Innovation Center of Excellence, University of Cyprus, Nicosia, Cyprus

Funder

European Union’s Horizon 2020 Research and Innovation Programme through Project KIOS Center of Excellence

Marie Sklodowska-Curie through Project Bayesian Intelligent Transportation Systems

Government of the Republic of Cyprus through the Directorate General for European Programmes, Coordination and Development and through the Research Promotion Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/4358928/09990581.pdf?arnumber=9990581

Reference69 articles.

1. Traffic state estimation via a particle filter over a reduced measurement space

2. Statistical Decision Theory and Bayesian Analysis

3. Freeway traffic estimation within particle filtering framework

4. Bayesian Particle Tracking of Traffic Flows

5. A Robust and Efficient Method for Fusing Heterogeneous Data from Traffic Sensors on Freeways

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