Date of Award

2018

Publication Type

Master Thesis

Degree Name

M.Sc.

Department

Computer Science

Supervisor

Kent, Robert

Supervisor

Jaekel, Arunita

Rights

info:eu-repo/semantics/openAccess

Abstract

One of the key challenges in conducting dynamic route planning is the process of collecting and disseminating instantaneous travel data in real time. Recent studies are evaluating VANET (Vehicular Ad Hoc Network) and its associated WAVE (Wireless Access in Vehicular Environment) standards to facilitate this process. In these studies, travel data accumulated from vehicle OBUs (on board unit) are shared with other vehicles over DSRC (dedicated short- range communication) medium using centralized or distributed approach. In most studies, data collection and dissemination process are not scalable enough for high density traffic environment. Specifically, with a centralized approach, if traffic management center (TMC) or Road Side Unit (RSU) performs route planning for vehicles, there will be many bidirectional communications between the centralized entity and vehicles, leading to higher channel congestion in heavy traffic areas. With a distributed approach, information shared by other vehicles might not be useful or pertinent for some vehicles, leading to wastage of channel bandwidth. Methods used for data collection also need to be intelligent to count in nontraditional circumstances to achieve accuracy. In this thesis, we have proposed a three tiered architecture for data collection, analysis and dissemination. In addition, 1) we demonstrated the concept of queuing delay at intersection for travel time calculation and developed a hybrid metric that considers average travel time and occupancy rate, 2) we offload the computation of route planning to vehicle OBUs and 3) we developed an algorithm that determines the area of propagation for data that needs to be disseminated. We evaluated the performance of our approach progressively using VEINS, SUMO and OMNET++ simulators.

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