Re-Routing Strategy of Connected and Automated Vehicles Considering Coordination at Intersections

被引：1
|
作者：
Bang, Heeseung [1 ]
Malikopoulos, Andreas A. [1 ]
机构：
[1] Univ Delaware, Dept Mech Engn, Newark, DE 19716 USA
来源：
2023 AMERICAN CONTROL CONFERENCE, ACC | 2023年
关键词：
D O I：
10.23919/ACC55779.2023.10156555
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we propose a re-routing strategy for connected and automated vehicles (CAVs), considering coordination and control of all the CAVs in the network. The objective for each CAV is to find the route that minimizes the total travel time of all CAVs. We coordinate CAVs at signal-free intersections to accurately predict the travel time for the routing problem. While it is possible to find a system-optimal solution by comparing all the possible combinations of the routes, this may impose a computational burden. Thus, we instead find a person-by-person optimal solution to reduce computational time while still deriving a better solution than selfish routing. We validate our framework through simulations in a grid network.
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页码：4419 / 4424
页数：6
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