About

DURATION
December 2019 – May 2022

BUDGET
€3 million

COORDINATOR
UITP (International Association of Public Transport)

PARTNERS
The RIDE2RAIL consortium consists of 17 partners from 10 countries, covering the whole urban mobility chain.

Objectives

RIDE2RAIL’s overall objective is to develop an innovative framework for intelligent mobility, facilitating the efficient combination of flexible (ride-sharing) and scheduled transport services (rail, bus, and other public transport services), thus enhancing the performance of the overall mobility system.

RIDE2RAIL aims to integrate multiple (public/private/social) data sets and existing transport platforms for promoting an effective ride sharing practice of citizens, making it a complementary transport mode that extends public transport networks.

The objectives of the RIDE2RAIL project are:

  • To develop an innovative framework for intelligent mobility, facilitating efficient combination of flexible and scheduled transport services, integrating real-time information about public transport and ride sharing
  • To create a tool that facilitates the comparison and the choice between multiple options/services classified by a set of criteria, for example environmental, travel time, comfort, cost
  • To encourage carpooling (and ride sharing acceptance) as complementary for public transport
  • To enhance the performance of the overall mobility system, reducing road congestion and environmental impact, reinforcing the mobility offer in rural and low-demand areas
  • To combine travel offer classifications and software components, integrating them into existing collective and on-demand transport services
  • To induct the access to high-capacity services thanks to easy-to-use multimodal and integrated travel planning, booking, ticketing and payment features
  • To design, develop and test in four real demonstrators a set of software components for the IP4 ecosystem, including an advanced Travel Companion and the crowd-based Transport Service Provider
  • To produce recommendations for replicability

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