Project Field : Transportation Modelling, Machine Vision
Project Title : Modelling of Vehicular Traffic Density State Estimation in Integrated Surveillance System
Project : PhD in Electrical and Electronic Engineering
Project Duration : Sep 2014 –
Description of Project:
Congestion in major cities in Malaysia has been growing tougher to be solved due to the increased motorization, poorly planned road networks, urbanization and population growth. Traffic congestion diminishes the efficiency of the transportation infrastructure, increases travel time, fuel consumption, and air pollution; and leads to increased drivers’ frustration and exhaustion. Thus, Intelligent Transportation Systems (ITS) becomes a broad research area where Artificial Intelligence (AI) techniques are applied to traffic data. Traffic data obtained from different sensors such as loop detectors; pneumatic sensors or cameras can be used to monitor and further manipulate to provide a more efficient traffic monitoring and management system. Vision-based camera systems are more powerful than those based on spot sensors such as loop detectors and pneumatic sensors, since the information content associated with image sequences allow precise vehicle tracking and classification. Hence, many researchers were attracted to use image-processing techniques to monitor road traffic congestion. These approaches and many others proposed to perform vehicle tracking and counting mostly by means of pixel-level template matching and other image analysis techniques but they lack a specific formalization of knowledge for producing high-level inference on the traffic congestion scene. This research project is proposed to study and analyse the traffic density state estimation and to find solution to mitigate the congestion area in major cities. It also enables strategies to be developed and serve as a basis for traffic modelling guidelines and avoid unfavourable highway development.
Contact Person : Lorita Angeline
Contact Email : angeline.lorita@gmail.com
Modelling, Simulation & Computing Laboratory (mscLab) 