Abstract:
Over the last decades, advancements in computing, electronics, and mechanical systems
have been resulting in the development of transportation all over the world, which has
been providing a lot of benefts for many aspects of human life. Intelligent Transportation Systems (ITSs) are advanced applications that aim to make the transportation
infrastructures safer, more convenient, and smarter by using information that is shared
among vehicles such as crash warning, sudden-brake warning, lane-change warning,
and so on. Thus, such systems provide a wide variety of services including, but not
limited to, trafc control, trafc management, passenger and road safety, and remote
region connectivity. However, several challenges hampering the proper operation of
these systems, such as extreme disturbances and they rely on several kinds of devices
that can cause malfunctions. Moreover, vehicular communications are expected to
be subject to severe breaches that a?ect the reliability of the exchanged information.
Seeking to improve the safety and protect human life, in this thesis, we address these
problems by providing improvements to the existing STIs. In particular, we have proposed an enhanced train-centric communication-based train control system for railway
transportation that allows improving the quality and enhancing reliability of the train
control. Moreover, we have proposed our second contribution that manifests itself in
the proposition of a discordant safety messages detection strategy in connected vehicles
environment that provides the vehicles with the ability to quickly and preemptively
identify discordant messages and hence dealing against potential disturbances, while
ensuring a trade-o? between the efciency and safety. The proposed mechanisms are
evaluated through simulations in terms of important metrics. The obtained results
highlight the promising performances of our proposals.
