Projection of Future Mobility and Fuel Demand using Machine Learning
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Updated
Oct 3, 2020 - HTML
Projection of Future Mobility and Fuel Demand using Machine Learning
Guidebook to help Mobility as a Service providers.
Repository of the metadata specification mobilityDCAT-AP
📝 Projects & News
IDEA: With a few seconds of biking/looking being able to estimate if you are really faster than cars on many destinations around your current location.
Presentations at Open Labs Hackerspace Albania.
A real-time situational awareness framework for flood impact on road transportation networks.
Schéma des arrêtés permanents de circulation en ville pour le transport de marchandises
The integrated transit ticketing system aims to allow for seamless payment for all kinds of transport: be it bus, tram, train, metro, maybe bike sharing and even cable car - if it takes you from A to B, then you could hypothetically pay with this system. This project uses technologies from all across the spectrum, from web and embedded systems, …
Beta Mustawa in pre-Dev mode
Discrete choice model for the choice of main transport mode by foreign tourists in Switzerland, estimated on the data of the Tourism Monitor Switzerland (TMS) from Switzerland Tourism
Team UrbanX work, developed at Hackacity 2023 event.
Information website for the Mobility as a Service API specification
Data story showcasing the mobility of users throughout the year, using data from a location-based social network.
Schéma de données sur les aires de livraison
Generate public transport information using free tools.
What if mobility and activity can be engaged to assure security for pedestrains? A speculative attempt.
Projeto desenvolvido durante o HACKEMTU 2018 realizado nos dias 7 e 8 de abril de 2018 na Universidade de Campinas - Unicamp
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