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Sistema inteligente de análisis y optimización de redes de movilidad

Resumen

Tipo:
Oferta Tecnológica
Referencia:
TOES20190729001
Publicado:
02/08/2019
Caducidad:
02/08/2020
Resumen:
Una empresa española ha desarrollado un sistema inteligente, intuitivo y visual para optimizar la gestión de redes de transporte mediante análisis de datos en masa. El sistema genera matrices origen-destino con una exactitud del 96% y se basa en millones de grabaciones obtenidas de tarjetas de transporte inteligentes. Este sistema ofrece un conjunto integral de herramientas analíticas para evaluar los patrones de movilidad de la población, el uso de las paradas de autobús, mapas isócronos y datos operativos, como desplazamiento de varios autobuses, velocidad, capacidad, flota de autobuses recomendada por ruta, análisis espacial avanzado y consultas SQL. La empresa busca socios con el fin de establecer acuerdos de cooperación técnica, comercialización con asistencia técnica o joint venture.

Details

Tittle:
Smart system for analysis and optimisation of mobility networks
Summary:
A Spanish company has developed a smart, intuitive and visual system designed for optimal management of transport networks through mass data analysis. GIS-based (Geographic Information Systems), analyses passenger records in combination with more data including traffic and geospatial data. No installation is required and users have online access to all functionalities. Partners are sought for commercial agreements with technical assistance, technical cooperation or joint venture agreements.
Description:
The global demand for bus transportation is huge. Large metropolises like London are managing fleets of hundreds of buses per million persons. It can´t be forgotten that public transport is the lifeblood of a city´s economy; particularly in Europe, public transport by motor coaches, buses and trolley buses is one of the main drivers of 21st century mobility and economy, with Hungary (22,3%) and Turkey (34.9%) being the countries with the highest use share.
The demand for passenger transport is estimated to grow up to 51% by 2050 and infrastructure will reach its performance limits. With a growing market of -Y-euro;100.6 billion by 2019, Intelligent Transport Systems (ITS) could raise the capacity of existing infrastructure by 20-30%. Particularly, for the Transport Sector and Public Authorities, the potential of data from citizens´ transport cards for bus transport optimization and planning is immense.
However, a great challenge remains unresolved today: how to accurately describe the actual state of transport networks in terms of flow while transforming smart card data into intelligence and knowledge.
A Spanish SME has developed a platform whose objective goes beyond this challenge. It also aims at becoming a fundamental tool that will improve any public transport network performance. Thanks to the EU Horizon 2020 Programme support, it´s on the right track to achieve this aim.
The system has already been successfully tested in Spain (Madrid Municipal Transport Company), Italy (Modena) and Romania (Oradea). Several Public Transport Operators are involved in the project development providing support regarding their needs.
A new module is currently in development, working with real time data.
There are other tools that partially compete with this platform in each of the services provided. Urban network modelling and Origin-Destination matrix estimation can be performed by mathematical models. Automatic Fare Collection Systems back office software for data mining is offered by ticketing technology companies. Infrared devices are starting to be used for passenger counting. Finally, surveys are the most common method used for Origin-Destination matrix calculation. None of these tools offers what the Spanish company´s new platform does:
- Models are complex, expensive and more orientated to the global transit network of the urban system.
- Surveys cannot be considered a product itself. They require a post analysis on the data taken to extrapolate. Since the cost to develop survey programs is so high, usually they´re limited to a small part of the population, therefore results are not accurate at all.
- Comparing to the new platform, infrared devices present the advantage of detecting those people that have not entered the bus with an electronic fare media. However, the disadvantages are more: less accuracy, less information and a bigger investment.
- Mobile phone data could be an interesting data source, but due to data protection laws, data acquired must be anonymised and generalised. As a result, the Origin-Destination matrices built with mobile phone data are not accurate enough.
- Finally, back office software is usually developed by ticketing IT companies that have understood the market gap. They usually manage only the data of the systems installed by them and do not provide extra analyses such as Origin-Destination matrices or statistics.
Companies in the mobility management industry are sought to:
- Further develop the platform through a technical cooperation agreement.
- Jointly participating in public tenders through a joint venture.
Also public transport agencies/transport operators are sought for commercial agreements with technical assistance.
Advantages and Innovations:
The system generates Origin-Destination matrices with 96% accuracy based on millions of records obtained from smart transport cards. Provides a comprehensive set of analytic tools to assess the population mobility patterns, bus stop usage, isochrone maps, as well as operational data including bus bunching, speed, capacity, recommended bus fleet per route, advanced spatial analysis and SQL queries. Includes an Artificial Intelligence-based simulator that allows forecasting passenger flows before modifying any element in the network (i.e. bus stop location, frequencies, fleet) with an accuracy of 93%.
Stage of Development:
Already on the market
IPs:
Secret Know-how

Partner sought

Type and Role of Partner Sought:
- Industrial/commercial partner to participate jointly in public tenders or to collaborate in the further development of the platform.
- Public Transport Agencies/Transport Operators to be users the platform.

Client

Type and Size of Client:
Industry SME 11-49
Already Engaged in Trans-National Cooperation:
Si
Languages Spoken:
English
Spanish

Keywords

Technology Keywords:
01004003 Applications for Transport and Logistics
01003010 Databases, Database Management, Data Mining
01003013 Information Technology/Informatics
02010001 Planificación y seguridad
02010003 Sistemas y transporte