GoalPLAN (2019)

Software that ensures strategic planning for multimodal and urban public transport, fully adapted to the mobility needs of Smart Cities, capable of competing with the use of private transport. To achieve this, origin-destination matrices will be generated based on mobility data from telecommunications operators using AI (Artificial Intelligence) techniques. Additionally, a reasoning engine will be developed, incorporating new optimization algorithms that consider constraints to address the Transit Network Problem (TNP). Read more about the project here.

<img class="img-fluid my-3 ml-2" title="Ministerio de Ciencia e Innovación" src="{static}/images/mci_feder.png" width="390"> <img class="img-fluid float-right my-3 ml-2" title="Ministerio de Ciencia e Innovación" src="{static}/images/goal_systems.jpg" width="350">

PI: Fernando Fernádez Rebollo and Susana Fernández Arregui

Core team: PLG and GOAL Systems

Funding: This work has been partially funded by FEDER/Ministerio de Ciencia e Innovación - Agencia Estatal de Investigación/RTC2019-007377-4