On the Traffic Impacts of Optimally Controlled Connected and Automated Vehicles
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, the authors apply a decentralized optimal control framework in a transportation network and compare its performance to a baseline scenario consisting of human-driven vehicles. The authors show that introducing of CAVs yields radically improved roadway capacity and network performance.
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Supplemental Notes:
- Copyright © 2019, IEEE.
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Authors:
- Zhao, Liuhui
- Malikopoulos, Andreas A
- Rios-Torres, Jackeline
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Conference:
- IEEE Conference on Control Technology and Applications (CCTA)
- Location: Hong Kong , China
- Date: 2019-8-19 to 2018-8-21
- Publication Date: 2019-8
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References;
- Pagination: pp 882-887
Subject/Index Terms
- TRT Terms: Autonomous vehicles; Connected vehicles; Highway capacity; Network analysis (Planning); Optimization; Traffic simulation
- Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting; Vehicles and Equipment;
Filing Info
- Accession Number: 01843785
- Record Type: Publication
- Files: TRIS
- Created Date: Apr 25 2022 3:50PM