Date of Award

2024

Document Type

Open Access Master's Thesis

Degree Name

Master of Science in Electrical and Computer Engineering (MS)

Administrative Home Department

Department of Electrical and Computer Engineering

Advisor 1

Aurenice Oliveira

Committee Member 1

Anthony J. Pinar

Committee Member 2

K. C. Dukka

Abstract

To leverage the growing communication and connectivity among modern vehicles, Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) systems are increasingly being used to implement active safety applications. However, current research often overlooks the impact of algorithms such as collision avoidance on traffic flow efficiency. This work investigates the adaptation of a collision avoidance algorithm implemented in V2I to incorporate a variable time headway and spacing control strategy. The proposed approach aims to maintain higher average speeds among vehicles, lower individual vehicle’s waiting, and travel times in the vicinity of the infrastructural unit while simultaneously avoiding collisions; thereby enhancing both safety and traffic flow efficiency. A simulation framework based on the Network Simulator 3 (NS-3) and the Simulation of Urban Mobility (SUMO) traffic simulator is developed to evaluate the performance of this concept, enabling the study and analysis of the system's results. The results demonstrate the effectiveness of the adapted algorithm in striking a balance between collision avoidance and traffic flow optimization, paving the way for more comprehensive safety applications in connected vehicles.

Creative Commons License

Creative Commons Attribution-Share Alike 4.0 License
This work is licensed under a Creative Commons Attribution-Share Alike 4.0 License.

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Available for download on Thursday, October 10, 2024

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