On the Traffic Impacts of Optimally Controlled Connected and Automated Vehicles
Zhao, Liuhui ; Malikopoulos, Andreas A. ; Rios-Torres, Jackeline
arXiv, Tome 2019 (2019) no. 0, / Harvested from
The implementation of connected and automated vehicle (CAV) technologies enables a novel computational framework for real-time control actions aimed at optimizing energy consumption and associated benefits. Several research efforts reported in the literature to date have proposed decentralized control algorithms to coordinate CAVs in various traffic scenarios, e.g., highway on-ramps, intersections, and roundabouts. However, the impact of optimally coordinating CAVs on the performance of a transportation network has not been thoroughly analyzed yet. In this paper, we apply a decentralized optimal control framework in a transportation network and compare its performance to a baseline scenario consisting of human-driven vehicles. We show that introducing of CAVs yields radically improved roadway capacity and network performance.
Publié le : 2019-03-07
Classification:  Electrical Engineering and Systems Science - Systems and Control,  Mathematics - Optimization and Control
@article{1903.03459,
     author = {Zhao, Liuhui and Malikopoulos, Andreas A. and Rios-Torres, Jackeline},
     title = {On the Traffic Impacts of Optimally Controlled Connected and Automated
  Vehicles},
     journal = {arXiv},
     volume = {2019},
     number = {0},
     year = {2019},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1903.03459}
}
Zhao, Liuhui; Malikopoulos, Andreas A.; Rios-Torres, Jackeline. On the Traffic Impacts of Optimally Controlled Connected and Automated
  Vehicles. arXiv, Tome 2019 (2019) no. 0, . http://gdmltest.u-ga.fr/item/1903.03459/