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D3IMPACT

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Data driven decisions for intelligent management of public transportation

The planning and management of public transport systems is essential for urban decision makers and public and private transport operators. The key for the planning of public transport systems is the knowledge of user demand. Thes... ver más

31/03/2016

URBANRETAIL

71K€

Presupuesto del proyecto: 71K€

Líder del proyecto

URBANRETAIL El desarrollo de soluciones informaticas y sistemas de informacion para tiendas, locales comerciales y de publica concurrencia, asi como com...

TRL 7-8 | 130K€

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2016-03-31

Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:

IT-1-2015-1: Small business innovation research for Transport

I+D

Cerrada hace 9 años

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1 Participantes

URBANRETAIL

50.00K€ | Lider

Últimas noticias

27-11-2024: Videojuegos y creaci... Se abre la línea de ayuda pública: Ayudas para la promoción del sector del videojuego, del pódcast y otras formas de creación digital

27-11-2024: DGIPYME En las últimas 48 horas el Organismo DGIPYME ha otorgado 1 concesiones

27-11-2024: FUNDACION-EOI En las últimas 48 horas el Organismo FUNDACION EOI ha otorgado 2 concesiones

Duración del proyecto: 6 meses Fecha Inicio: 2015-09-08
Fecha Fin: 2016-03-31

Líder del proyecto

URBANRETAIL

TRL 7-8 | 130K€

Presupuesto del proyecto 71K€

Descripción del proyecto The planning and management of public transport systems is essential for urban decision makers and public and private transport operators. The key for the planning of public transport systems is the knowledge of user demand. These data has been traditionally obtained from home surveys that are expensive, inaccurate and only show a small sample in a particular moment in time. Automatic passenger counting systems are a solution for obtaining more reliable information but the inaccuracy of the current technologies is a drawback. Counterest has developed an innovative solution that will provide decision makers in the public transportation industry with a cheap, accurate, permanent and accurate real-time travel demand information by means of 3D depth sensors and Wi-Fi signal tracking that will create a predictive model allowing for disruptive features like dynamic scheduling and allocation of resources, overcrowding detection and management, fare evasion detection, Origin-Destination matrix generation and the provision of open data on occupancy in real-time by means of an API. The target users are the public authorities and agencies managing the public transport and the public and private transport operators using bus, trams, metro and suburban rail. The need for a sustainable demand-and-service oriented and efficient public transport system indicates that there is a growing market and a significant business opportunity for our solution. We have deployed pilot installations with London Underground and 4 Barcelona Urban Bus lines that have proven our solution. The overall goal of the feasibility study is to assess the technological and economic viability of the proposed concept and elaborate a detailed business plan. The feasibility assessment will provide us with reliable market/technical/financial information allowing us to take a decision based on evidences and eventually apply for the required funding through SME Instrument Phase 2.

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