STARC: Decentralized Coordination Primitive on Low-Power IoT Devices for Autonomous Intersection Management

Author:

Rathje Patrick1ORCID,Poirot Valentin12ORCID,Landsiedel Olaf12ORCID

Affiliation:

1. Department of Computer Science, Distributed Systems, Kiel University, 24118 Kiel, Germany

2. Computer Science and Engineering, Computer and Network Systems, Chalmers University of Technology, 412 96 Gothenburg, Sweden

Abstract

Wireless communication is an essential element within Intelligent Transportation Systems and motivates new approaches to intersection management, allowing safer and more efficient road usage. With lives at stake, wireless protocols should be readily available and guarantee safe coordination for all involved traffic participants, even in the presence of radio failures. This work introduces STARC, a coordination primitive for safe, decentralized resource coordination. Using STARC, traffic participants can safely coordinate at intersections despite unreliable radio environments and without a central entity or infrastructure. Unlike other methods that require costly and energy-consuming platforms, STARC utilizes affordable and efficient Internet of Things devices that connect cars, bicycles, electric scooters, pedestrians, and cyclists. For communication, STARC utilizes low-power IEEE 802.15.4 radios and Synchronous Transmissions for multi-hop communication. In addition, the protocol provides distributed transaction, election, and handover mechanisms for decentralized, thus cost-efficient, deployments. While STARC’s coordination remains resource-agnostic, this work presents and evaluates STARC in a roadside scenario. Our simulations have shown that using STARC at intersections leads to safer and more efficient vehicle coordination. We found that average waiting times can be reduced by up to 50% compared to using a fixed traffic light schedule in situations with fewer than 1000 vehicles per hour. Additionally, we design platooning on top of STARC, improving scalability and outperforming static traffic lights even at traffic loads exceeding 1000 vehicles per hour.

Funder

Land Schleswig-Holstein within the funding programme Open Access Publikationsfonds

Publisher

MDPI AG

Subject

Control and Optimization,Computer Networks and Communications,Instrumentation

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