Digital data solutions to improve transport mobility
In a bid to achieve problem-free and proactive mobility solutions for transport, the EU-funded OPTIMUM project is developing IT systems to monitor, gather and analyse multi-source big data on transportation behaviours. This will improve transit, freight transportation and congestion levels throughout Europe.
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Mobility in Europe is becoming more challenging as travel systems become increasingly complex; both operators and users have difficulty negotiating available services and congested routes.
The EU-funded OPTIMUM project is gathering data from a multitude of sources to achieve reliable and efficient mobility solutions and lower congestion levels, simultaneously reducing excessive CO2 emissions.
Using data to inform the design and delivery of interconnected transport systems is nothing new. However, more precise information about people and freight’s interactions with transport is available now than ever before. Studying user habits can reveal how to make better use of existing networks to lighten the traffic load at crucial times and on congested routes.
OPTIMUM will design and develop the software architecture for processing relevant multi-source big data. This will enable continuous monitoring of transportation systems, facilitate semi-automated proactive decisions, and predict status changes within transport networks. These factors will contribute to a more efficient transportation system, particularly in coping with accidents, jams or delays.
OPTIMUM will test the resulting mobility solutions in three real-life pilot situations:
These real-world applications aim to encourage further development and take-up of OPTIMUM’s results towards achieving sustainable transport solutions in Europe, as a means of reducing traffic congestion and CO2 emissions.