The Utrecht AI & Mobility Lab centers its research on three core themes: mobility, transport, and logistics.
To drive these advancements, the lab leverages key technical AI components, focusing primarily on:
With a commitment to socially aware, explainable, and responsible AI systems.
The Utrecht AI & Mobility Lab is dedicated to addressing major challenges in mobility and public transport by focusing on safety, accessibility, throughput and emissions.
The lab’s mission and vision are to develop innovative AI techniques for various mobility domains such as public transportation, intelligent infrastructure, and mobility behavior of the public.
The impact of the lab lies in its contribution to fundamental and applied research within the field by developing and integrating data- and model-driven techniques. This will improve the optimization of logistics processes like train schedules and goods transport, personalized online services, decision-support systems for policy and management, and the construction of intelligent infrastructure for monitoring and controlling traffic.
Planning sustainable public transport with Qbuzz – Designing and developing algorithms for vehicle and crew scheduling that support the transition to electric buses.
Planning at service locations of NS – Designing and developing a prototype decision support system for planning at service locations.
Early-warning for out-of-control situations in railway systems – Developing an approach based on complexity science to study the evolution towards oud-of-ontrol situations and to predict these situations.
A Local Search Algorithm for Train Unit Shunting with Service Scheduling Journal Article
In: Transportation Science, vol. 56, no. 1, pp. 141–161, 2021.
A new Public Transport Duty Scheduling Approach Proceedings Article
In: 15th International Conference on Computer Aided Systems for Public Transportation (CASPT2021-2022), 2021.
TORS: a Train Unit Shunting and Servicing Simulator Proceedings Article
In: Proceedings of the 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), pp. 1785–1787, 2021.
A Next Step in Disruption Management: Combining Operations Research and Complexity Science Journal Article
In: Public Transport, vol. 13, pp. 1–22, 2021.
A comparison of car driving, public transport and cycling experiences in three European cities Journal Article
In: Transportation Research Part A: Policy and Practice, vol. 103, pp. 211–222, 2017.
Scheduling electric vehicles Journal Article
In: Public Transport, vol. 9, pp. 155–176, 2017.
Design challenges in motivating change for sustainable urban mobility Journal Article
In: Computers in Human Behavior, vol. 41, pp. 416–423, 2014.
ProRail is the railway manager of the Netherlands and responsible for the construction, maintenance, management and safety of the entire railway network.
Nederlandse Spoorwegen (NS) is the principal passenger railway operator in the Netherlands.
Qbuzz is a public transport company in the Netherlands that operates services in South Holland, Utrecht, Drenthe and Groningen.
Utrecht University (UU) is an internationally renowned research university.
KLM Royal Dutch Airlines is one of the biggest international operating airlines, based in the Netherlands.
