Data-Guided Distributed Intersection Management for Connected and Automated Vehicles

Gadginmath, D and Tallapragada, P (2022) Data-Guided Distributed Intersection Management for Connected and Automated Vehicles. In: 2022 American Control Conference, ACC 2022, 8 - 10 June 2022, Atlanta, pp. 767-774.

PDF 2022 Ame ACC 2022_2022-J_767-774_2022.pdf - Published Version Restricted to Registered users only Download (521kB) | Request a copy

Abstract

In this paper, we seek a scalable method for safe and efficient coordination of a continual stream of connected and automated vehicles at an intersection without signal lights. To handle a continual stream of vehicles, we propose trajectory computation in two phases-in the first phase, vehicles are constrained to not enter the intersection; and in the second phase multiple vehicles' trajectories are planned for coordinated use of the intersection. For computational scalability, we propose a data-guided method to obtain the intersection usage sequence through an online "classification"and obtain the vehicles' trajectories sequentially. We show that the proposed algorithm is provably safe and can be implemented in a distributed manner. We compare the proposed algorithm against traditional methods of intersection management and against some existing literature through simulations. We also demonstrate through simulations that for the proposed algorithm, the computation time per vehicle remains constant over a wide range of traffic arrival rates.

Item Type:	Conference Paper
Publication:	Proceedings of the American Control Conference
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords:	Autonomous vehicles; Distributed parameter control systems; Trajectories, Automated vehicles; Autonomous intersection managements; Connected and automated vehicle; Data-guided control; Distributed-control; Intersection managements; Optimized and provably safe operation; Safe operation; Scalable methods; Vehicle trajectories, Scalability
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	08 Oct 2022 04:45
Last Modified:	08 Oct 2022 04:45
URI:	https://eprints.iisc.ac.in/id/eprint/77308

Actions (login required)

View Item