Modeling, Monitoring, and Controlling Road Traffic Using Vehicles to Sense and Act
This review offers a comprehensive overview of current traffic modeling, estimation, and control methods, along with resulting field experiments. It highlights key developments and future directions in leveraging technological advancements to improve traffic management and safety. The focus is on macroscopic, microscopic, and micro-macro models, as well as state-of-the-art control techniques and estimation methods for deploying vehicles in traffic field experiments.
Authors
- Daniel B. Work (ORCID: https://orcid.org/0000-0003-0565-2158)
- Hossein Nick Zinat Matin (ORCID: https://orcid.org/0000-0002-4383-369X)
- Alexandre M. Bayen (ORCID: https://orcid.org/0000-0002-6697-222X)
- Derek Gloudemans (ORCID: https://orcid.org/0000-0003-0744-1362)
- Sean T. McQuade
- Benjamin Seibold (ORCID: https://orcid.org/0000-0003-2879-6402)
- Jonathan M. Sprinkle (ORCID: https://orcid.org/0000-0003-4176-1212)
- George Gunter (ORCID: https://orcid.org/0000-0002-2505-5396)
- Jonathan Lee (ORCID: https://orcid.org/0000-0003-3932-761X)
- Benedetto Piccoli (ORCID: https://orcid.org/0000-0002-6000-5394)
- Maria Laura Delle Monache (ORCID: https://orcid.org/0000-0003-1355-8153)
- Yanbing Wang (ORCID: https://orcid.org/0000-0003-1104-9494)
Institutions
- Rutgers, The State University of New Jersey (US)
- Vanderbilt University (US)
- Integrated Software (United States) (US)
- Arizona State University (US)
- Temple University (US)
- University of California, Berkeley (US)
Publication Details
- Journal
- Annual Review of Control Robotics and Autonomous Systems
- Published
- 2025-02-03
- DOI
- https://doi.org/10.1146/annurev-control-030123-015145
- Primary Topic
- Traffic control and management
- Type
- article
- Field-Weighted Citation Impact
- 0.00