Understanding physical distancing compliance behaviour using proximity and survey data: A case study in the Netherlands during the COVID-19 pandemic

Ship behavior during encounters in ports and waterways based on AIS data: From theoretical definitions to empirical findings

Prioritizing Cyclists at Signalized Intersections Using Observations from Connected Autonomous Vehicles

A multi-city study on structural characteristics of bicycle networks

Bicycle network needs, solutions, and data collection systems: A theoretical framework and case studies

Framework for Network-Constrained Tracking of Cyclists and Pedestrians

Empirical analysis of cycling distances in three of Europe’s most bicycle-friendly regions within an accessibility framework

Invloed van COVID-19 op verkeersafwikkeling

Counting people in the crowd using social media images for crowd management in city events

Understanding bikeability: a methodology to assess urban networks

Trip chaining of bicycle and car commuters: An empirical analysis of detours to secondary activities

Game theoretical framework for bicycle operations: A multi-strategy framework

Data collection methods for studying pedestrian behaviour: A systematic review

Empirical findings on infrastructure efficiency at a bicycle T-junction

Exploring the Potential of Neural Networks for Bicycle Travel Time Estimation

Trip chain complexity: a comparison among latent classes of daily mobility patterns

Route choice behaviour and travel information in a congested network: Static and dynamic recursive models

Crowd characterization for crowd management using social media data in city events

Impacts of wind and current on ship behavior in ports and waterways: A quantitative analysis based on AIS data

AMSense: How Mobile Sensing Platforms Capture Pedestrian/Cyclist Spatiotemporal Properties in Cities