Time-Optimal Coordination for Connected and Automated Vehicles at Adjacent Intersections
In this paper, the authors provide a hierarchical coordination framework for connected and automated vehicles (CAVs) at two adjacent intersections. This framework consists of an upper-level scheduling problem and a low-level optimal control problem. By partitioning the area around two adjacent intersections into different zones, the authors formulate a scheduling problem for each individual CAV aimed at minimizing its total travel time. For each CAV, the solution of the upper-level problem designates the arrival times at each zones on its path which becomes the inputs of the low-level problem. The solution of the low-level problem yields the optimal control input (acceleration/deceleration) of each CAV to exit the intersections at the time specified in the upper-level scheduling problem. The authors validate the performance of their proposed hierarchical framework through extensive numerical simulations and comparison with signalized intersections, centralized scheduling, and FIFO queuing policy.
- Record URL:
-
Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/41297384
-
Supplemental Notes:
- Copyright © 2022, IEEE.
-
Authors:
- Chalaki, Behdad
- Malikopoulos, Andreas A
- Publication Date: 2022-8
Language
- English
Media Info
- Media Type: Web
- Pagination: pp 13330-13345
-
Serial:
- IEEE Transactions on Intelligent Transportation Systems
- Volume: 23
- Issue Number: 8
- Publisher: Institute of Electrical and Electronics Engineers (IEEE)
- ISSN: 1524-9050
- Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979
Subject/Index Terms
- TRT Terms: Connected vehicles; Intelligent vehicles; Intersections; Travel time
- Subject Areas: Highways; Operations and Traffic Management;
Filing Info
- Accession Number: 01881480
- Record Type: Publication
- Files: TRIS
- Created Date: Apr 27 2023 5:13PM