'Project smells' - Experiences in Analysing the Software Quality of ML Projects with mllint

Innovatieve toepassingen van OV chipkaartdata: Buiten de lijntjes van data-gedreven OV onderzoek

BRT: Een nieuw elan voor HOV bus?

Nieuwe methodiek voor internationale-reizigersprognose: Wat beweegt passagiers tussen Nederland en Duitsland?

Urban Mobility Lab Amsterdam: Begrijpen hoe mobiliteit werkt

Improving public transport decision making, planning and operations by using big data: Cases from Sweden and the Netherlands

Exposing the role of exposure: Identifying and evaluating critical links in public transport networks

Data-driven public transport ridership prediction approach including comfort aspects

Light rail implementation: Success and failure aspects of Dutch light rail projects

Robuust openbaar vervoer vanuit een reizigersperspectief

Betere OV prognoses met anonieme OV-Chipkaartdata

OV prognoses met anonieme OV-Chipkaartdata

Big Data opportunities in public transport: Enhancing public transport by ITCS

Service reliability in a network context: Impacts of synchronizing schedules in long headway services

Incorporating unreliability of transit in transport demand models: Theoretical and practical approach

Optimizing public transport planning and operations using automatic vehicle location data: The Dutch example

Quantifying benefits of enhanced service reliability in public transport

Service reliability improvement by enhanced network and timetable planning

Towards Certifiable Advanced Flight Control Systems, A Sensor Based Backstepping Approach

Level Set Method Based on Interval Analysis