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Crossroads --- A Time-Sensitive Autonomous Intersection Management Technique


Abstract For autonomous vehicles, intelligent autonomous intersection management will be required for safe and efficient operation. In order to achieve safe operation despite uncertainties in vehicle trajectory, intersection management techniques must consider a safety buffer around the vehicles. For truly safe operation, an extra buffer space should be added to account for the network and computational delay caused by communication with the Intersection Manager (IM). However, modeling the worst-case computation and network delay as additional buffer around the vehicle degrades the throughput of the intersection. To avoid this problem, AIM, a popular state-of-the-art IM, adopts a query-based approach in which the vehicle requests to enter at a certa... (more)
Created Date 2017
Contributor Andert, Edward (Author) / Shrivastava, Aviral (Advisor) / Fainekos, Georgios (Committee member) / Ben Amor, Hani (Committee member) / Arizona State University (Publisher)
Subject Automotive engineering / Transportation / autonomous / intersection / management / traffic light / transportation / vehicle
Type Masters Thesis
Extent 33 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Note Masters Thesis Engineering 2017
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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Description Dissertation/Thesis