Intelligent Systems for Sustainable Urban Mobility (ISSUM)
Intelligent Systems for Sustainable Urban Mobility (ISSUM)
Project Overview:
Recent technological developments have created new opportunities to improve the transportation system. ISSUM is a joint project with five researchers from York University and University of Waterloo that aims to captalise on these technological developments and apply them.
The goal of this project is to research and develop integrated intelligent systems for sensing, analysis, simulation and 3D visualization of urban population mobility. The components that are related my research focus on the following: a). develop improved techniques for road and traffic condition monitoring, such as integrating estimates from video analytics with crowd-sourced road condition data and RWIS weather data to yield more accurate and complete coverage; b). develop improved traffic network signal optimization algorithms that can make use of new data sources such as queue detection from video cameras, Bluetooth/Wifi data, and crowdsource travel time data from smartphones. We will also investigate the potential of integrating a self-learning, evolving optimization process to reduce the computational demand.