Mobidata: A new paradigm to determine patterns of mobility in the city of Barcelona
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September 8, 2021Currently, mobility is one of the main concerns in urban areas. Mobility can be defined as the movement of people and goods efficiently and safely. It can be considered the capacity to travel when and where the passenger or goods need to go. Consequently, urban mobility is a means to an end: accessibility, meaning that citizens need to reach destinations to meet their needs and access the locations of their activities.
Mobility must also be sustainable and rely on various modes of transport, which may be traditional or the new forms that have arisen with the development of information and communication technologies (ICTs), to achieve accessibility.
As a result of this analysis and the fact that any intervention in the city must be based on a deep understanding of the urban entity, InLab FIB, through CARNET, has carried out an analysis of patterns of mobility and associated processes that are determined through systematic interactions between transport systems and land uses.
Traditionally, data are from road facilities that mainly belong to public administrations. From these data and population surveys, origin-destination matrices are extracted that provide information on where people start and finish their journeys in a certain city or area, during a fixed period of time.
The new sources of data from ICT open up a new paradigm and could contribute valuable information on mobility patterns, journey times and the origin-destination matrices. The MOBIDATA project explores sources from GPS tracker data to establish patterns of use of routes in a transport network, to infer the level of congestion or to obtain an origin-destination matrix. At methodological level, these data offer many opportunities. They not only provide information about the start and end of journeys, but also quite precise information on the routes that people take. Thus, it can be determined how many people are circulating on each street and in what types of vehicles they move, to identify the level of road congestion that exists.
Currently, work is being done on methodology to filter and process these data.
Other participants in the project are the German company PTV-AG. The budget is 15,000 euros and the project has taken 3 months (2021).
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- The research group Barcelona Innovative Transportation (BIT) and the innovation and research laboratory of Barcelona School of Informatics (inLab FIB) at the Universitat Politècnica de Catalunya - BarcelonaTech (UPC) is taking part in the project eBRT2030 (European Bus Rapid Transit of 2030: electrified, automated, connected).
- MobilitApp is an application capable of predicting the mode of transport used by citizens using a deep learning tool based on three mobile phone sensors.
- Autonomous vehicles are a reality that we are getting closer to gradually but inevitably. The Centre for Sensors, Instruments and Systems Development (CD6) of the Universitat Politècnica de Catalunya - BarcelonaTech (UPC) has developed technologies for this type of vehicles that improve safety on journeys. To meet the needs of perceiving the environment at long range, a very complete set of sensors has to be developed, including cameras, LIDAR (Light Detection and Ranging) and radar.
- The aim of ANEM, in which SISCOM of the UPC participates, has been to develop, using latest generation models and techniques, a modular platform that can generate synthetic data (that is, not real data but data that can be used to train the artificial intelligence), protected from potential threats in the area of cybersecurity.
