About this event
Our current transport systems are facing a number of fundamental challenges. These include growing urbanization, and the generation of numerous other externalities like congestion, noise- and local air pollution, which can be partially attributed to old transport planning methods. This has led the transportation sector to be one of the largest contributors to greenhouse gas emissions.
Travel diaries are one of the primary data collection and mining tools used in a large proportion of the traditional transport research fields. They record individually reported information about performed trips, traditionally using paper & pencil. Since the advancements in big data, GPS sensory/availability, and machine learning methods, this task can be fully automated and done with much higher accuracy. The resulting data provides the basis for many modern transport planning applications, in academia as well as in praxis. MOTIONTAG and ETH Zurich Institute for Transport Planning and Systems (IVT) work together on various research projects to leverage this technology and drive change in the mobility sector.
In this webinar you will learn:
“My group has been engaged in travel diary collection and analysis since its beginning in 1999. Over the years the traditional way of collecting diaries by paper-and-pencil surveys has become less productive in terms of data quality and response.”
– Prof. Dr. Kay Axhausen – Professor and Chair of the Transport Planning at the ETH Zurich
Nous sommes convaincus qu’un avenir durable pour les villes et regions passe par une mobilité intelligente.
MOTIONTAG est un logiciel générant des données en temps réel détaillées sur comment, où et pourquoi les gens se déplacent à l’intérieur des villes et entre elles.
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