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Optimal traffic control at smart intersections: Automated network fundamental diagram

  • Published:2020-07 Issue: Volume:137 Page:2-18
  • ISSN:0191-2615
  • Container-title:Transportation Research Part B: Methodological
  • language:en
  • Short-container-title:Transportation Research Part B: Methodological

Author:

Amirgholy Mahyar,Nourinejad Mehdi,Gao H. Oliver

Funder

National Science Foundation

Lloyd's Register Foundation

U.S. Department of Transportation

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Transportation,Civil and Structural Engineering

Reference39 articles.

1. Modeling the dynamics of congestion in large urban networks using the macroscopic fundamental diagram: user equilibrium, system optimum, and pricing strategies;Amirgholy;Transp. Res. Part B: Methodol.,2017

2. Traffic automation and lane management for communicant, autonomous, and human-driven vehicles;Amirgholy;Transp. Res. Part C: Emerg. Technol.,2020

3. Platoon management with cooperative adaptive cruise control enabled by vanet;Amoozadeh;Veh. Commun.,2015

4. Investigation of automated vehicle effects on driver's behavior and traffic performance;Aria;Transp. Res. Proc.,2016

5. Highway traffic state estimation with mixed connected and conventional vehicles;Bekiaris-Liberis;IEEE Trans. Intell. Transp. Syst.,2016
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