Artificial intelligence applied to the Barcelona metropolitan bus network.
AI4Bus develops tools that allow for flexibility, adaptation and improvement of the bus network service in the Barcelona Metropolitan Area.
Based on demand analysis and historical patterns, AI4Bus develops artificial intelligence models capable of predicting passenger flow, allowing the operator to anticipate changing circumstances and adjust the frequencies of the main transport lines to provide a more efficient service.
AI4Bus offers a comprehensive solution with interconnected components through the integration of heterogeneous data sources to capture the complexity of the transport system. The project’s predictive models provide information on the future behaviour of the network to facilitate infrastructure management.
The explainability module allows for a better understanding of the role of external and internal variables in predictions, favours the interpretability of the models and reveals which factors have a greater impact on transport demand.
A more efficient public transport fleet will have the capacity to reduce travel and waiting times, which is why this project will have a positive impact on the environment, encouraging the use of buses over private vehicles.
The AI4Bus consortium is formed by Eurecat and AMB Informació i Serveis. On the part of Eurecat, the Big Data & Data Science Unit develops passenger flow prediction models, frequency optimisation and the demonstrator. On the other hand, the Technology Consultancy Department supports the company in the management of the project.
General details
Project
AI4Bus – Artificial intelligence applied to the metropolitan bus network
Project reference
CPP2023-010526
Programme and call for tender
Project funded by the Ministry of Science, Innovation and Universities through the call for public-private collaboration projects of the State Plan for Scientific, Technical and Innovation Research 2021-2023
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