Intersection coordination for Autonomous Vehicles

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Intersection coordination for Autonomous Vehicles

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Publication 1-year master student thesis
Title Intersection coordination for Autonomous Vehicles
Author Alhuttaitawi, Saif
Date 2019
English abstract
Connected Autonomous Vehicles require intelligent autonomous intersection management for safe and efficient operation. Given the uncertainty in vehicle trajectory, intersection management techniques must consider a safety buffer among the vehicles, which must also account for the network and computational delay, queue and determine the best solution to avoid traffic congestions (smart intersection management), in this paper we model traffic by using Poisson distribution method then add a birth-death processes for each state and combine both two in one queuing system (The Markovian chain) to model the traffic. Also, this paper will compare some autonomous vehicles communication techniques in intersections to draw the best scenario for autonomous vehicle network communication in order to reduce the traffic congestion in an intersection. The Connected Autonomous Vehicles and a normal autonomous vehicle, as well from the third line of the intersection a mix between the both will be provided into the intersection. The last section is about applying the results from the first and second research question into a simulator and compare the simulation results to approve the advantage of using the next generation of transportation technology (The connected autonomous vehicles) over the normal conventional vehicles.
Publisher Malmö universitet/Teknik och samhälle
Language eng (iso)
Subject Autonomous Vehicles
Connected Autonomous Vehicles
Poisson distribution
Queuing theory
V2V
V2I
I2V
Handle http://hdl.handle.net/2043/29660 Permalink to this page
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