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.

Countries
Countries
  Algeria
  Argentina
  Australia
  Austria
  Bangladesh
  Belarus
  Belgium
  Benin
  Bolivia
  Brazil
  Bulgaria
  Burkina Faso
  Cambodia
  Cameroon
  Canada
  Cape Verde
  Chile
  China
  Colombia
  Costa Rica
  Croatia
  Cyprus
  Czech Republic
  Denmark
  Ecuador
  Egypt
  Estonia
  Ethiopia
  Faroe Islands
  Finland
  France
  French Polynesia
  Georgia

Countries
Countries
  Algeria
  Argentina
  Australia
  Austria
  Bangladesh
  Belarus
  Belgium
  Benin
  Bolivia
  Brazil
  Bulgaria
  Burkina Faso
  Cambodia
  Cameroon
  Canada
  Cape Verde
  Chile
  China
  Colombia
  Costa Rica
  Croatia
  Cyprus
  Czech Republic
  Denmark
  Ecuador
  Egypt
  Estonia
  Ethiopia
  Faroe Islands
  Finland
  France
  French Polynesia
  Georgia


 

Published: 10 February 2017  
Related theme(s) and subtheme(s)
Research policyHorizon 2020
Social sciences and humanities
Transport
Countries involved in the project described in the article
Austria  |  Belgium  |  Greece  |  Hungary  |  Luxembourg  |  Portugal  |  Serbia  |  Slovenia  |  United Kingdom
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Digital data solutions to improve transport mobility

Picture of the two cows eating from precision feeders

© olegmalyshev - fotolia.com

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:

  • A study of user habits combined with a complex model of current traffic conditions in three major EU cities: Birmingham, Ljubljana and Vienna. The aim is to improve the quality and efficiency of multimodal trips, and information and technology services as a whole.
  • A focus on heavier vehicles, including proactive charging schemes for freight in a bid to shift traffic to alternative times, routes or modes.
  • A pilot on the use of the Car2X communication platform will be a testing ground for OPTIMUM’s crowdsourcing elements. It will test personalised, real-time information services for travellers using camper vans and trailers. Information includes safety tips, planning aids, alerts and entertainment options. Taxi drivers, truck drivers and couriers will also test the technologies as a means to provide new services and expand customer bases.

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.

Project details

  • Project acronym: OPTIMUM
  • Participants: Belgium (Coordinator), Greece, Portugal, Slovenia, Serbia, Austria, UK, Hungary, Luxembourg
  • Project N°: 636160
  • Total costs: € 5 966 186
  • EU contribution: € 5 966 186
  • Duration: May 2015 – April 2018

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