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Spatial Decision Support System for Transportation Planning

Periodic Reporting for period 1 - SIADE (Spatial Decision Support System for Transportation Planning)

Reporting period: 2014-10-01 to 2015-03-31

Efficient, reliable and safe people transport is essential to the continued economic development and social integration of the EU. However, public transportation is facing numerous challenges with a demand being expected to grow a 51% by 2050 and an infrastructure reaching its performance limits. Thus, a ‘smarter urban transport’ with more efficient use of the existing transport infrastructure is required, as collected in the European 2020 flagship a ‘resource efficient Europe’.

Most cities in the world are implementing AFCs aiming to improve operating efficiency and attraction of consumers. However, this data must be 'turned into intelligence' in order to achieve an optimized network. Information regarding capacity utilization, loading on different routes, punctuality, passengers volumes at stops, travel patterns of different groups of users and Origin-Destination matrices related to every journey should be extracted from mining transport data. Unfortunately, these analyses are only feasible when the destination of the users is known not being the case in electronic check-in systems.
SIADE is a unique advanced technology solution that delivers the most complete and accurate OD matrix in the industry using GIS and AFCs data. A user driven improvement of SIADE based on an incremental methodology will optimize SIADE as a SaaS. For a complete profit of AFCs, four modules are being integrated in the tool: mobility pattern analysis, operational efficiency and statistics, real-time vehicle tracking and route modelling. In doing so, transit agencies can plan accordingly to the actual demand, enabling economically and environmentally sustainable operations.
The evaluation of the transportation network and the potential information provided by SIADE is multidimensional: social equity, service quality, network structure and environmental impact. As a result, it improves the global service efficiency, since transit agencies can plan accordingly to the actual demand, enabling economically and environmentally sustainable operations. SIADE offers the possibility of analysing the service offered based on the different social groups, locations or times as well as most common trips. The representation and classification of the mobility patterns of the passengers into a map of the urban system, facilitates the comprehension, analysis and optimization of the service, with a clear benefit for the population, who will obtain a service more adapted to its needs.
SIADE framework