Descripción del proyecto
Más información para una gestión eficaz del transporte
En una época caracterizada por el aumento de la demanda de transporte de pasajeros, las ciudades de todo el mundo se enfrentan al acuciante reto de gestionar sus redes de transporte. Reconociendo la necesidad de soluciones de movilidad más inteligentes, los operadores de transporte están recurriendo a sistemas de cobro automatizado para mejorar la experiencia del transporte urbano y generar inteligencia de datos valiosa. Sin embargo, en esta ecuación ha faltado un dato crucial: información precisa sobre el destino de los pasajeros. En este contexto, el proyecto SIADE SaaS, financiado con fondos europeos, desarrollará una matriz origen-destino completa y precisa en la industria del transporte. Al procesar eficientemente grandes cantidades de inteligencia de datos espaciales, el proyecto puede derivar métricas como la utilización de la capacidad, la puntualidad, el volumen de pasajeros y los patrones de viaje. Esto facilita la toma de decisiones con conocimiento de causa, teniendo en cuenta la calidad del servicio y el impacto ambiental.
Objetivo
The demand for passenger transport will grow 51% by 2050, triggering a market growth to €100.6 billion by 2019. Smart Mobility enabled by Smart Public transport is key for cities’ economy and development. Worldwide transport operators are implementing AFCs (Automated Fare Collection) for a better urban transportation experience, generating Big Data, but lacking passenger destination information. However, turning these data into knowledge is challenged by the difficulty to accurately describe transport network states and computational burden coming from processing Big Spatial Data to derive metrics of capacity utilization, punctuality, passenger volumes at stops, or travel patterns of different user groups. SIADE SaaS is a spatial decision support system for bus transportation planning and other transportation systems where user destination is unknown. It delivers the most complete and accurate OD matrix in the transport industry using GIS and AFCs data. Our current SW has already attracted the attention of several Transport Operators in 7 countries. We are making a strategic transition from offering consultancy services to software product commercialization on global scale, using a user driven improvement of SIADE based on an incremental methodology. The evaluation of the transportation network and the potential information provided by SIADE SaaS is multidimensional: social equity, service quality, network structure and environmental impact. It helps transit agencies plan per the actual demand, enabling economic and sustainable operations, while providing the population a service more adapted to its needs. For Terrain Technologies, innovation is a key point for growth. The company devotes an average of at least 50% of its resources to RD activities in an annual basis Our consolidated business plan predicts: up to 78 licenses will be sold in the period 2019-2023, resulting in accumulated revenues of over €7.8 million while also creating 25 new positions.
Ámbito científico
- natural sciencescomputer and information sciencesdata sciencebig data
- natural sciencescomputer and information sciencesdata sciencedata mining
- social sciencessocial geographytransporttransport planning
- social sciencessocial geographytransportpublic transport
- social sciencessocial geographytransportsustainable transportintelligent transport systems
Programa(s)
- H2020-EU.3.4. - SOCIETAL CHALLENGES - Smart, Green And Integrated Transport Main Programme
- H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)
- H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument
Tema(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-SMEINST-2-2016-2017
Régimen de financiación
SME-2 - SME instrument phase 2Coordinador
33202 GIJON
España
Organización definida por ella misma como pequeña y mediana empresa (pyme) en el momento de la firma del acuerdo de subvención.