Over the past few years, there has been surge in the interest of the use of big data in the field of transport and logistics. Many crucial elements in creating smart cities, implementing Mobility as a Service (MaaS) as well as promoting mobility innovations (such as Connected and Autonomous Vehicles) are based on the potential that Big Data possess. Despite existing and future promising applications, the critical factors, steps and support environments which lead to a successful application and value generation from Big Data technologies in transport are largely unknown.

NOESIS (Novel Decision Support tool for Evaluating Strategic Big Data investments in Transport and Intelligent Mobility Services) aims at improving understanding about the impact of big data by developing an integrated, novel and holistic evaluation framework.

NOESIS conducts an exploration exercise in order to understand the patterns and requirements which are relevant for generating value out of Big Data investments in transport. The key questions NOESIS aims at answering are:

  • how to assess and compare the anticipated benefits from alternative Big Data investments in transport and
  • in which cases should Big Data applications and technologies be implemented to improve transport systems‘ planning and operation?

The final outcome of NOESIS will be the creation of a Decision Support tool which will be able to predict the value generated (i.e., socioeconomic impact) from Big Data technologies, taking as input the specific characteristics and contextual information of the transport system under evaluation and associating it with a predefined set of use cases with similar characteristics by employing a number of big data (machine learning) techniques.