Autonomous and Semiautonomous Intersection Management: A Survey

Autor: Earl E. Lee, Zijia Zhong, Mahyar Movahed Nejad
Rok vydání: 2021
Předmět:
Zdroj: IEEE Intelligent Transportation Systems Magazine. 13:53-70
ISSN: 1941-1197
1939-1390
DOI: 10.1109/mits.2020.3014074
Popis: Intersection is a major source of traffic delays and accidents within modern transportation systems. Compared to signalized intersection management, autonomous intersection management (AIM) coordinates the intersection crossing at an individual vehicle level with additional flexibility. AIM can potentially eliminate stopping in intersection crossing due to traffic lights while maintaining a safe separation among conflicting movements. In this paper, the state-of-the-art AIM research among various disciplines (e.g., traffic engineering, control engineering) is surveyed from the perspective of three hierarchical layers: corridor coordination layer, intersection management layer, and vehicle control layer. The key aspects of AIM designs are discussed in details, including conflict detection schemes, priority rules, control centralization, computation complexity, etc. The potential improvements for AIM evaluation with the emphasis of realistic scenarios are provided. This survey serves as a comprehensive review of AIM design and provides promising directions for future research.
16 pages, 10 figures
Databáze: OpenAIRE