Impact of Connected and Automated Vehicles in a Corridor

TL;DR

This paper develops an optimal control strategy for connected and automated vehicles navigating a corridor with multiple conflict zones, significantly reducing fuel use and travel time through simulation validation.

Contribution

It introduces a novel optimal control solution for CAV coordination in corridors with conflict areas, enhancing safety and efficiency.

Findings

Significant reduction in fuel consumption.

Notable decrease in travel time.

Effective collision avoidance in simulated scenarios.

Abstract

Several approaches have been proposed in the literature that allow connected and automated vehicles (CAVs) to coordinate in areas where there is a potential conflict, for example, in intersections, merging at roadways and roundabouts. In this paper, we consider the problem of coordinating CAVs in a corridor consisting of several conflict areas where collision may occur. We derive a solution that yields the optimal control input, in terms of fuel consumption, for each CAV to cross the corridor under the hard safety constraints. We validate the effectiveness of the solution through simulation, and we show that both fuel consumption and travel time can be improved significantly.