The UMO facility has been used or is being used in several projects.
MOCOLODO
MObility during and after COrona LOckDOwn (abbreviated as MOCOLODO) is a research project, addressing urgent (policy) questions about mobility in corona times. The project unites researchers from Vrije Universiteit Amsterdam, University of Twente, Delft University of Technology, Utrecht University, and University of Groningen. The main questions that MOCOLODO addresses are:
- What can we learn about mobility behaviour and its determinants during lockdown and relaxation?
- Based on this knowledge, how can we advise governments on flexible and effective management of mobility during lockdown and relaxation?
- How can this be brought into line with long-term sustainability goals in (urban) mobility?
More information about this project can be found here.
Campus Mobility Dashboard
One of the most important measures taken to prevent the spread of the coronavirus is to maintain a distance of 1.5 metres from each other. To see how effective these measures are, and which measures should be taken when, we need to know how people move around and how this changes over time. To collect data on mobility on and around the TU Delft campus, a dedicated sensor network has been installed and combined with publicly available data such as the opening times of bridges and real-time locations of trains, buses and trams. The combined information is visualised in the Campus Mobility Dashboard, a digital twin of the university campus.
Floating car data reveals travel time reliability
Data obtained from in-car navigation software, traffic apps and fleet management software is a valuable new asset to describe mobility. Such floating car data holds great promise for a more detailed description of mobility patterns and a deeper understanding of travel behaviour. The Dutch national data portal for road traffic hosts an extensive database that contains average speeds at all segments of the Dutch road networks for individual minutes and days since 2019. This data allows reconstructing travel times on any route for any day and time. VU set up an analysis environment that makes use of this huge data repository to analyse variation in travel times. Commissioned by the Ministry of Infrastructure and Water Management, they constructed the travel times for 120 routes using floating car data capturing a pre-COVID period of 15 weeks in 2019 between the summer and Christmas holidays. Their analysis focussed on travel time unreliability and supported the further development of the decision support tool (LMS-BT) the ministry uses to evaluate the need for future investments in the highway system. The report describing data preparation and results was delivered to the Ministry June 2022 and can be found here. The UMO platform can provide access to this big data source and will draw on VU’s experiences in handling and analysing it.
