OPTIMUM

Optimised ITS-based Tools for Intelligent Urban Mobility

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 Obiettivo del progetto (Objective)

'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.'

Introduzione (Teaser)

An EU team studied intelligent transportation management systems. The proposal involved developing three sub-systems: traffic information integration, determining the efficiency effects of weather and cooperative traffic management.

Descrizione progetto (Article)

Without intervention, traffic and transportation problems will probably continue to worsen. One solution may be making transportation management systems more intelligent and responsive.

The EU-funded 'Optimised ITS-based tools for intelligent urban mobility' (http://www.optimum-project.net/ (OPTIMUM)) project aimed to develop solutions for intelligent urban mobility. The project included two European partners and one Australian university, and ran for three years to May 2014.

Project objectives involved developing several sub-systems addressing the project's theme. The first sub-system concerned developing new methods for integrating real-time traffic information, involving short-term travel time prediction, travel time variability, and real-time traveller information and routing. The second sub-system addressed network efficiency and weather impact modelling, specifically: optimising observability of traffic systems, understanding the effects of weather and response strategies. The third sub-system related to cooperative traffic management: the development of new traffic management algorithms, traffic signal optimisation and traffic simulation modelling.

OPTIMUM yielded improved understanding of the factors causing traffic congestion. The project also produced methods for controlling and monitoring networks, plus new understanding of the effects of adverse weather combined with cooperative systems.