OPTIMUM · Optimised ITS-based Tools for Intelligent Urban Mobility

In this project three leading research teams collaborate with the aims at developing innovative solutions for intelligent urban mobility to address the urban mobility challenges. The collaborating partners have complementary expertise and common vision and interest for ITS research. The partners evolved are two European institutions (EPFL and IFSTTAR) and one Australian university (QUT).The project addresses its research goals by dividing the research into three research oriented working groups (WG) as follows :Integrated real time traffic information WG focuses on development of methodologies for: a) short-term travel time prediction for different modes and networks; b) travel time variability; and c) real time multimodal travel traveller information and routing.Network efficiency and vulnerability modelling WG focuses on the a) optimising the observability of urban traffic system; b) understand and assess the effect of adverse weather conditions on road networks; and d) develop response strategy to mitigate the impacts of weather on road networks.Cooperative traffic management WG focuses on a) Active traffic management algorithms such as coordinated ramp metering, VSL etc; b) Traffic signal optimization; and d) Traffic simulation modeling for testing and evaluating emerging cooperative systems.To achieve aforementioned objectives, the project is designed to harmonise the research program by exchange of information, ideas, resources etc. This effective way of learning will enhance the research capabilities of each partner by exchange of researchers with specialised knowledge. The collaboration will provide high visibility of the research activities and will also reduce the cost of research by avoiding duplication of work. This cross-borer and cross-disciplinary cooperation will strength the collaboration and mutual understanding and open new possibilities to promote new direction for application of ITS systems.