Intersection Collision Avoidance For Autonomous Vehicles Using Petri Nets

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dc.contributor.advisorLi, Lingxi
dc.contributor.authorShankar Kumar, Valli Sanghami
dc.contributor.otherChen, Yaobin
dc.contributor.otherKing, Brian
dc.date.accessioned2019-07-29T11:42:42Z
dc.date.available2019-07-29T11:42:42Z
dc.date.issued2019-08
dc.degree.date2019en_US
dc.degree.disciplineElectrical & Computer Engineeringen
dc.degree.grantorPurdue Universityen_US
dc.degree.levelM.S.E.C.E.en_US
dc.descriptionIndiana University-Purdue University Indianapolis (IUPUI)en_US
dc.description.abstractAutonomous 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.en_US
dc.identifier.urihttps://hdl.handle.net/1805/19980
dc.identifier.urihttp://dx.doi.org/10.7912/C2/2561
dc.subjectIntersection Collision Avoidanceen_US
dc.subjectCruise Controlen_US
dc.subjectAutonomous Vehiclesen_US
dc.subjectADASen_US
dc.subjectFault Toleranceen_US
dc.titleIntersection Collision Avoidance For Autonomous Vehicles Using Petri Netsen_US
dc.typeThesisen
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