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Intersection Collision Avoidance For Autonomous Vehicles Using Petri Nets

Indiana University-Purdue University Indianapolis (IUPUI) / Autonomous vehicles currently dominate the automobile field for their impact on
humanity and society. Connected and Automated Vehicles (CAV’s) are vehicles that
use different communication technologies to communicate with other vehicles, infrastructure, the cloud, etc. With the information received from the sensors present, the
vehicles analyze and take necessary steps for smooth, collision-free driving. This
the
sis talks about the cruise control system along with the intersection collision avoidance
system based on Petri net models. It consists of two internal controllers for velocity
and distance control, respectively, and three external ones for collision avoidance.
Fault-tolerant redundant controllers are designed to keep these three controllers in
check. The model is built using a PN toolbox and tested for various scenarios. The
model is also validated, and its distinct properties are analyzed.

Identiferoai:union.ndltd.org:IUPUI/oai:scholarworks.iupui.edu:1805/19980
Date08 1900
CreatorsShankar Kumar, Valli Sanghami
ContributorsLi, Lingxi, Chen, Yaobin, King, Brian
Source SetsIndiana University-Purdue University Indianapolis
Detected LanguageEnglish
TypeThesis

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