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Supporting hybrid working: Testing a room occupancy support system

The Active mode lab of the department of Transport & Planning researches how we can use the scarce office and meeting spaces more efficiently, in light of the new working patterns, by smart use of sensors and data.
The goal is to test a sensor system and dashboard that provides people with real-time information about the occupancy of relevant rooms. The goal is also to gain insight about how people use such a system; how they experience it; and when and under which conditions they feel it is acceptable to them from, among other thing, a privacy perspective to install occupancy sensors in a certain space.

iMTFM - ERC Proof-of-Concept

Transfers are known to be a major factor adding to the relative unattractiveness of trips. This PoC develops a solution based on existing assets and our understanding of passenger flow dynamics to optimize the efficiency and safety of transfer hub
infrastructure.

EIT-KIC CityFlows

The EIT-KIC project CityFlows aims to improve the liveability of crowded pedestrian spaces through the provision of decision-support for the management of pedestrian flows. The CityFlows project tests and evaluates various innovative crowd monitoring techniques in real-life settings where large crowds meet.

Mobility pilot - travel to campus the other way

Around 27,000 people travel to the campus every day. TU Delft is keen to assist visitors with regard to their transport needs. The Mobility pilot attempts to encourage more employees and students to seek alternative ways of travelling and working. The Active Mode Lab studies the effect of this pilot on the mobility patterns of the participants.

Ahoy cycling experiment

Scientists have long shied away from predicting cycling behaviour but now TU Delft is gearing up to change all that. PhD students Alexandra Gavriilidou and Marie-Jette Wierbos have just finished an intensive cycling experiment. The checklist: 1000 metres of tape, 200 caps, 8 tracking cameras and 1 hall in Ahoy Rotterdam.

Impact of Corona on travel behaviour

The Active Mode Lab, the Smart Public Transport Lab and NS started a large-scale study of the impact of the coronavirus crisis on people’s travel behaviour. As a result of the coronavirus measures, trains can only carry 20 to 25% of the number of passengers they usually transport, so we need to know more about the wishes and travel intentions of passengers.

Urban Mobility Observatory

The Urban Mobility Observatory (UMO) project has been awarded €1,950,000 from the NWO Large programme, aimed at the construction of large scientific support facilities. UMO will spend years collecting extensive data on mobility in cities in the Netherlands.

CrowdLimits

Large events are getting busier and busier and therefore it is becoming more and more important to manage these large crowds to ensure the safety of everybody and to make sure that everybody can move around comfortably. In order to effectively manage crowds, one needs to understand how and under which circumstances a pedestrian flow stagnates. This experiment was designed to find the answer.

Crowd Monitoring Dashboard

The Active Mode lab develops innovative crowd monitoring techniques, crowd flow estimation methods and forecasting techniques, all of which are incorporated in the TU Delft Crowd Monitoring Dashboard.

ALLEGRO

The researchers of Allegro are trying to develop and empirically underpin behavioural theories, conceptual models and mathematical models to explain and predict the dynamics of pedestrians, cyclists and mixed flows within an urban context. The investigated topics include spatial knowledge acquisition, activity scheduling, route choice and movement operations.

PhD projects

An integrated approach for modelling active-mode travel choices

Using social media data in pedestrian and cyclists research

Unveiling Active Mode Mobility Patterns

Unravelling Urban Cognition

Macroscopic Modelling of Active Mode Traffic

Managing cyclist flows in urban areas

Developing a forecasting model for crowd flows

Determinants of spatial- relevant decision-making

Cyclists in motion from data collection to models

Using Virtual Reality to study pedestrian behaviour