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cartif projects

Transforming Transport

Transformations Big Data brings to the mobility and logistics market

Description

Transforming Transport project represents a strong consortium of 48 leading transport, logistics and information techology stakeholders in Europe. The project demosntrated, ina realistic, measurable, and replicable way the transformations that Big Data can bring to the mobility and logistics market. TT address 13 piltos in 7 domains: highways; vehicle connectivity; rail infrastructure; ports; airportts; urban mobility and e-commerce logistics.

CARTIF was in charge of “Valladolid Integrated Urban Mobility and Freight” pilot. developed alogside City Council, LINCE, PTV and TomTom. This pilot developed and integrated urban mobility framework using data from the traffic management system and logistic information that result in a new traffic model and a planing tool for commercial and delivery fleets

Objectives

Transformin Transport project pilot solutions for freight delivery and urban traffic management in two medium-sized European cities: Tampere (Finland) and Valladolid (Spain).

Valladolid´s Pilot objectives:

  • Better managemenet of load-unload areas. Decision making process backed up in data and objective criteria.
  • Reduce the impact of load-unload areas on traffic congestion in the city centre.
  • Increase user satisfaction (politiciands, citizens and delivey workers)

Actions

Valladolid Pilot:

  • Generate traffic simulation models fot he city centre that include infromation from vehicles on the road and behaviour form logistic companies. Analyse different freight delivery scenarios to predict the impact of future lovcal traffic regulation and last mile delivery within city centre.
  • Develop a dashboard to show valuable insights from Data Analytics tasks.
  • Create an urban delivery planning tool to minimize time and distance travlled by freight vehicles.

Expected Results

Valladolid´s pilot results (tt-valladolidpilot.cartif.com)

  • KDD process applied to real data in order to discover patterns in the traffic (nº vehicles) and the behaviour in the route (location and stop time).
  • Traffic micro-simulation models and simulated different scenarios to know in advance the impact of future new regulations related to load and unload activities.
  • Planning tool for delivery fleets, along with a dashboard that displays key insights.

Partners

Project Video

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H2020

H2020-EU.2.1.1.

No. 731932

Overall Budget: 18,703,369.39 €
Contribution: 14,631,935.45 €
Duration: January 2017 – July 2019

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Responsible

Marta Galende

Division of Industrial and Digital Systems

Networking

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