Optimal Signal Design for Mixed Equilibrium Networks with Autonomous and Regular Vehicles
Author
Source
Journal of Advanced Transportation
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-08-16
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
A signal design problem is studied for efficiently managing autonomous vehicles (AVs) and regular vehicles (RVs) simultaneously in transportation networks.
AVs and RVs move on separate lanes and two types of vehicles share the green times at the same intersections.
The signal design problem is formulated as a bilevel program.
The lower-level model describes a mixed equilibrium where autonomous vehicles follow the Cournot-Nash (CN) principle and RVs follow the user equilibrium (UE) principle.
In the upper-level model, signal timings are optimized at signalized intersections to allocate appropriate green times to both autonomous and RVs to minimize system travel cost.
The sensitivity analysis based method is used to solve the bilevel optimization model.
Various signal control strategies are evaluated through numerical examples and some insightful findings are obtained.
It was found that the number of phases at intersections should be reduced for the optimal control of the AVs and RVs in the mixed networks.
More importantly, incorporating AVs into the transportation network would improve the system performance due to the value of AV technologies in reducing random delays at intersections.
Meanwhile, travelers prefer to choose AVs when the networks turn to be congested.
American Psychological Association (APA)
Jiang, Nan. 2017. Optimal Signal Design for Mixed Equilibrium Networks with Autonomous and Regular Vehicles. Journal of Advanced Transportation،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1170798
Modern Language Association (MLA)
Jiang, Nan. Optimal Signal Design for Mixed Equilibrium Networks with Autonomous and Regular Vehicles. Journal of Advanced Transportation No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1170798
American Medical Association (AMA)
Jiang, Nan. Optimal Signal Design for Mixed Equilibrium Networks with Autonomous and Regular Vehicles. Journal of Advanced Transportation. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1170798
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1170798