1 research outputs found
A Hierarchical Approach to Optimal Flow-Based Routing and Coordination of Connected and Automated Vehicles
This paper addresses the challenge of generating optimal vehicle flow at the
macroscopic level. Although several studies have focused on optimizing vehicle
flow, little attention has been given to ensuring it can be practically
achieved. To overcome this issue, we propose a route-recovery and eco-driving
strategy for connected and automated vehicles (CAVs) that guarantees optimal
flow generation. Our approach involves identifying the optimal vehicle flow
that minimizes total travel time, given the constant travel demands in urban
areas. We then develop a heuristic route-recovery algorithm to assign routes to
CAVs that satisfy all travel demands while maintaining the optimal flow. Our
method lets CAVs arrive at each road segment at their desired arrival time
based on their assigned route and desired flow. In addition, we present an
efficient coordination framework to minimize the energy consumption of CAVs and
prevent collisions while crossing intersections. The proposed method can
effectively generate optimal vehicle flow and potentially reduce travel time
and energy consumption in urban areas.Comment: 7 pages, 7 figure