Cooperative Automated Vehicle Movement Optimization at Uncontrolled Intersections using Distributed Multi-Agent System Modeling

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dc.contributor.authorMahmoud, Abdallah Abdelrahman Hassanen
dc.contributor.committeechairRakha, Hesham A.en
dc.contributor.committeememberChen, Haoen
dc.contributor.committeememberPark, Jung-Minen
dc.contributor.committeememberPatterson, Cameron D.en
dc.contributor.committeememberZeng, Haiboen
dc.contributor.departmentElectrical and ComputerEngineeringen
dc.date.accessioned2018-08-23T06:00:37Zen
dc.date.available2018-08-23T06:00:37Zen
dc.date.issued2017-02-28en
dc.description.abstractOptimizing connected automated vehicle movements through roadway intersections is a challenging problem. Traditional traffic control strategies, such as traffic signals are not optimal, especially for heavy traffic. Alternatively, centralized automated vehicle control strategies are costly and not scalable given that the ability of a central controller to track and schedule the movement of hundreds of vehicles in real-time is highly questionable. In this research, a series of fully distributed heuristic algorithms are proposed where vehicles in the vicinity of an intersection continuously cooperate with each other to develop a schedule that allows them to safely proceed through the intersection while incurring minimum delays. An algorithm is proposed for the case of an isolated intersection then a number of algorithms are proposed for a network of intersections where neighboring intersections communicate directly or indirectly to help the distributed control at each intersection makes a better estimation of traffic in the whole network. An algorithm based on the Godunov scheme outperformed optimized signalized control. The simulated experiments show significant reductions in the average delay. The base algorithm is successfully added to the INTEGRATION micro-simulation model and the results demonstrate improvements in delay, fuel consumption, and emissions when compared to roundabout, signalized, and stop sign controlled intersections. The study also shows the capability of the proposed technique to favor emergency vehicles, producing significant increases in mobility with minimum delays to the other vehicles in the network.en
dc.description.degreePh. D.en
dc.format.mediumETDen
dc.identifier.othervt_gsexam:9644en
dc.identifier.urihttp://hdl.handle.net/10919/84896en
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectITSen
dc.subjectAutomated Vehiclesen
dc.subjectUncontrolled Intersectionsen
dc.subjectNetworked Intersectionsen
dc.subjectMulti-agent Systemsen
dc.subjectDistributed Systemsen
dc.subjectIntelligent Agent Cooperationen
dc.titleCooperative Automated Vehicle Movement Optimization at Uncontrolled Intersections using Distributed Multi-Agent System Modelingen
dc.typeDissertationen
thesis.degree.disciplineComputer Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.namePh. D.en

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