Integrated Framework Development For Intelligent Transport Enforcement Systems

Abstract

This thesis presents the Ph.D. research from the initial stages of investigation, to design and development of an intelligent architecture for vehicles. It was identified that vehicles, intelligent transport systems (ITS) and infrastructure lack a shared platform that allows them to be integrated and work together. With a robust and intelligent framework, distributed ITS can work and improve traffic efficiency. If these gaps are addressed, then they can provide reductions in cost, space and integration opportunities for enhanced functionality as well as additional services. As a part of this research a novel framework was developed, and two ITS systems were integrated such that remote communication with the infrastructure was achieved. Evaluation of this framework indicated that information can be shared across vehicle systems and other ITS systems could be added to the network to improve performance, safety and enforcement. To support the framework design, a Traffic Improvement Algorithm (TIA) was developed that improves traffic efficiency. This was validated using micro simulation tool that showed improvement in traffic efficiency when the algorithm was used. When bringing new technology into the market, there are some fundamental influencing factors affecting the selection and development prior to entering the end-user market. These factors are often neglected, and the current market lacks the ability to analyse the time it would take the new technology to come into the market. As a part of this research, a toolkit was developed that helps in estimating the time the technology takes to penetrate the market.