Data play an indispensable role in transport modelling. The availability of data from non-
conventional sources, such as mobile phones, social media, and public transport smart …

Real-time traffic data is fundamental for active traffic monitoring and control. Traditionally,
traffic data are collected using location-based sensors and spatial sensors. However, both …

With the rise of Social Media, people obtain and share information almost instantly on a
24/7basis. Many research areas have tried to gain valuable insights from these large …

Existing layouts of sensors on freeways usually have room for improvement. The optimal
allocation of multi-type sensors could increase the accuracy and coverage of data …

The integration of advanced technologies can be up-and-coming for human-centered
benefit. As the quality of life can be heavily affected by the safety standards of vehicular road …

This project focuses on the development of a video analytics processor for detection and
classification of vehicles on motorways. The motivation for this project comes from the need …

Abstract Visual Traffic Surveillance has become a significant framework in vision computing
with the advent of intelligent transport system in recent years. The Automatic Vehicle …

In the cutting edge domain that is the ever so expanding smart city, the need for
development tools that can keep up with such an urban environment is ever so prevalent …

Urban areas are currently facing challenges in terms of traffic congestion due to city
expansion and population increase. In some cases, physical solutions are limited. For …

The introduction of Intelligent Transportation Systems (ITS) aims to revolutionize our way of
travelling with real-time interconnectivity of transportation modes. This thesis investigates …