Project description
Boosting quality and efficiency in long-distance travel coordination
Thousands of people travel daily through Europe on several modes of transport. This is the reason for air pollution, delays and increased traffic across roadways. However, the development of new technologies in conjunction with information analysis, simulation and design can make European transport efficient, smooth and resilient. The EU-funded TRANSIT project will design a managing system for seamlessly integrated intermodal transport. This will involve establishing multimodal key performance indicators, analysis of methods of mobility data and tools allowing simulation of transport and control of the efficiency of intermodal transport. Novel approaches and new algorithms collecting mobility data and elaborating and analysing them will ease coordination of long-distance multimodal door-to-door trips.
Objective
TRANSIT’s vision is that of a multimodal European transport system where the different modes are seamlessly integrated, so that passengers travel from door to door in an efficient, sustainable and resilient manner. Realising this vision requires coordinated planning and collaborative decision-making across transport modes, as well as multimodal information systems that allow passengers to plan and reconfigure their journeys in real time.
The goal of TRANSIT is to develop a set of multimodal key performance indicators (KPIs), mobility data analysis methods and transport simulation tools allowing the evaluation of the impact of innovative intermodal transport solutions on the quality, efficiency and resilience of the door-to-door passenger journey.
The specific objectives of the project are the following:
1. Propose innovative intermodal transport solutions based on information sharing and coordinated decision making between air transport and other transport modes.
2. Develop multimodal KPIs to evaluate the quality and efficiency of the door to door passenger journey.
3. Investigate new methods and algorithms for mobility data collection, fusion and analysis allowing a detailed reconstruction of the different stages of long-distance multimodal trips and the measurement of the new multimodal KPIs.
4. Develop a modelling and simulation framework for the analysis of long-distance travel behaviour that allows a comprehensive assessment of intermodal solutions in terms of the proposed multimodal KPIs.
5. Assess the expected impact of the proposed intermodal concepts and derive guidelines and recommendations for their practical development and implementation.
Fields of science
Keywords
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
28020 Madrid
Spain
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.