Modeling, Monitoring, and Controlling Road Traffic Using Vehicles to Sense and Act

Maria Laura Delle Monache; Sean T. McQuade; Hossein Nick Zinat Matin; Derek A. Gloudemans; Yanbing Wang; George L. Gunter; Alexandre M. Bayen; Jonathan W. Lee; Benedetto Piccoli; Benjamin Seibold; Jonathan M. Sprinkle; Daniel B. Work

doi:10.1146/annurev-control-030123-015145

Modeling, Monitoring, and Controlling Road Traffic Using Vehicles to Sense and Act

Maria Laura Delle Monache
, Sean T. McQuade
, Hossein Nick Zinat Matin
, Derek A. Gloudemans
, Yanbing Wang
, George L. Gunter
, Alexandre M. Bayen
, Jonathan W. Lee
, Benedetto Piccoli
, Benjamin Seibold
, Jonathan M. Sprinkle
, Daniel B. Work

University of California
Rutgers University–Camden
Vanderbilt University School of Engineering
Arizona State University
Temple University

Research output: Contribution to journal › Review article › peer-review

2 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	211-233
Number of pages	23
Journal	Annual Review of Control, Robotics, and Autonomous Systems
Volume	8
Issue number	1
DOIs	https://doi.org/10.1146/annurev-control-030123-015145
Publication status	Published - 5 May 2025
Externally published	Yes

Keywords

field experiments
traffic control
traffic estimation
traffic modeling

Access to Document

10.1146/annurev-control-030123-015145

Cite this

Monache, M. L. D., McQuade, S. T., Matin, H. N. Z., Gloudemans, D. A., Wang, Y., Gunter, G. L., Bayen, A. M., Lee, J. W., Piccoli, B., Seibold, B., Sprinkle, J. M., & Work, D. B. (2025). Modeling, Monitoring, and Controlling Road Traffic Using Vehicles to Sense and Act. Annual Review of Control, Robotics, and Autonomous Systems, 8(1), 211-233. https://doi.org/10.1146/annurev-control-030123-015145

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title = "Modeling, Monitoring, and Controlling Road Traffic Using Vehicles to Sense and Act",

abstract = "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.",

keywords = "field experiments, traffic control, traffic estimation, traffic modeling",

author = "Monache, \{Maria Laura Delle\} and McQuade, \{Sean T.\} and Matin, \{Hossein Nick Zinat\} and Gloudemans, \{Derek A.\} and Yanbing Wang and Gunter, \{George L.\} and Bayen, \{Alexandre M.\} and Lee, \{Jonathan W.\} and Benedetto Piccoli and Benjamin Seibold and Sprinkle, \{Jonathan M.\} and Work, \{Daniel B.\}",

year = "2025",

month = may,

day = "5",

doi = "10.1146/annurev-control-030123-015145",

language = "English",

volume = "8",

pages = "211--233",

journal = "Annual Review of Control, Robotics, and Autonomous Systems",

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publisher = "Annual Reviews Inc.",

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Monache, MLD, McQuade, ST, Matin, HNZ, Gloudemans, DA, Wang, Y, Gunter, GL, Bayen, AM, Lee, JW, Piccoli, B, Seibold, B, Sprinkle, JM & Work, DB 2025, 'Modeling, Monitoring, and Controlling Road Traffic Using Vehicles to Sense and Act', Annual Review of Control, Robotics, and Autonomous Systems, vol. 8, no. 1, pp. 211-233. https://doi.org/10.1146/annurev-control-030123-015145

TY - JOUR

T1 - Modeling, Monitoring, and Controlling Road Traffic Using Vehicles to Sense and Act

AU - Monache, Maria Laura Delle

AU - McQuade, Sean T.

AU - Matin, Hossein Nick Zinat

AU - Gloudemans, Derek A.

AU - Wang, Yanbing

AU - Gunter, George L.

AU - Bayen, Alexandre M.

AU - Lee, Jonathan W.

AU - Piccoli, Benedetto

AU - Seibold, Benjamin

AU - Sprinkle, Jonathan M.

AU - Work, Daniel B.

PY - 2025/5/5

Y1 - 2025/5/5

N2 - 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.

AB - 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.

KW - field experiments

KW - traffic control

KW - traffic estimation

KW - traffic modeling

UR - https://www.scopus.com/pages/publications/105005008385

U2 - 10.1146/annurev-control-030123-015145

DO - 10.1146/annurev-control-030123-015145

M3 - Review article

AN - SCOPUS:105005008385

SN - 2573-5144

VL - 8

SP - 211

EP - 233

JO - Annual Review of Control, Robotics, and Autonomous Systems

JF - Annual Review of Control, Robotics, and Autonomous Systems

IS - 1

ER -

Modeling, Monitoring, and Controlling Road Traffic Using Vehicles to Sense and Act

Abstract

Keywords

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