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Integrating V2x Communication into Transportation Systems For Real-Time Route Guidance
Alabdouli, Halah Obaid Salem
Alabdouli, Halah Obaid Salem
Date
2025-12
Author
Advisor
Type
Dissertation
Degree
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35.330-2025.09a Halah Obaid Salem Alabdouli.pdf
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Description
A Doctor of Philosophy Dissertation in Engineering Systems Management by Halah Obaid Salem Alabdouli entitled, “Integrating V2x Communication into Transportation Systems For Real-Time Route Guidance”, submitted in December 2025. Dissertation advisor is Dr. Mohamed Hassan and dissertation co-advisor is Dr. Akmal Abdelfatah. Soft copy is available (Dissertation, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).
Abstract
Intelligent Transport Systems (ITS) have received increasing attention over the past two decades. Route Guidance Systems (RGSs) play a central role in travel and transportation management. Despite their importance, relatively few studies have investigated the efficiency and reliability of Vehicle-to-Everything (V2X) communication architectures into route guidance applications. Much of the existing research has either focused on V2X technologies for data sharing, and congestion reduction, or on RGS optimization alone. However, enabling dependable route guidance requires wireless communication systems that meet stringent performance criteria, and identifying these requirements is critical for designing effective multi-technology V2X frameworks. This study proposes and evaluates the Vehicular Optimal Route Traffic Infrastructure Network (VORTINET), a distributed traffic management system built on a two-tier communication architecture: VANET-based vehicle-to-vehicle (V2V) links for local Vehicle- Infrastructure (V2I) interactions and Long-Term Evolution (LTE-based) Infrastructure-to-Infrastructure (I2I) communication using low-band Fifth Generation (5G). A hybrid simulation framework integrating Network Simulator 3 (NS3), for communication performance, into Dynasmart, for traffic modeling, was employed to evaluate VORTINET under different congestion levels. The results show that across High, Medium, and Low congestion, the results reveal consistent patterns. Communication delays introduce only a small degradation in the overall travel time, at most of 2.5% overall, while informed vehicles consistently achieve lower travel times than uninformed ones. Increasing penetration levels steadily enhance system efficiency, and at 100% penetration the impact of delay becomes negligible, as universal adoption ensures synchronized routing decisions across the network. Overall, VORTINET demonstrates strong potential as a scalable and resilient communication framework for intelligent transportation, effectively reducing congestion and improving urban mobility.