Home > EN > Research > Projects > MOBITS    (FR)


MOBITS

Mobility oriented Intelligent Transport System

The MOBITS project aims to define and develop a demonstrator of an integrated and dynamic information system to both passengers and operators of public transport in order to provide a real-time status of the transport offer.

Objectives

To promote effective mobility on a public transportation network, it is important to rely on an attractive information system contributing to enhance and improve traffic flow while reducing the impact on the environment. The MOBITS project aims to develop integrated and dynamic information system for passengers and public transport operators that offers a real-time and easy access to multimodal information. The system allows correlating a maximum of transportation information sources in order to intelligently merge data. This fusion allows offering maximum value and presenting information to users and operators in an open and understandable way. That way, comfort of users of public transports is increased and service delivered by public transportation can be optimized.

Results

The MOBITS project aims to develop a demonstrator of an intelligent transport system in order to capture the occupancy rate in public transportation and to process data merged from multiple sources. This platform will allow validating the system and measuring the effectiveness of various use cases whose relevance will be reviewed with stakeholders.

In the project, CETIC role will mainly consists in implementation of a demonstrator that allows providing a scalable, opendata compliant data enrichment system, as well as contribution to the implementation of multiple sources of data fusion algorithms in order to extract knowledge out of raw data.

Added value

Technologies developed in the project will increase the competitiveness of public transport operators. More generally, companies will benefits of technologies and methods developed within the project to develop data fusion solutions for managing multiple and varied data sources and scalable open data solutions.

Partners