Mads Paulsen

Mads Paulsen is an Assistant Professor at the Technical University of Denmark (DTU), affiliated with the Department of Technology, Management and Economics, within the Transport Division's Transport Systems Modelling Section. His research focuses on transportation systems, particularly bicycle infrastructure, stochastic traffic modeling, and urban planning. He specializes in analyzing cycling behavior, safety, and network optimization using advanced data analytics and agent-based simulations.

Key research areas include perturbed utility models for route choice analysis, crowdsourced data applications, and socio-economic impacts of transportation policies. His work bridges theoretical models with real-world implementations, emphasizing practical solutions for urban mobility challenges.

Recent publications (2023-2025) highlight contributions to bicycle infrastructure design, traffic equilibrium analysis, and induced demand modeling. He actively addresses gaps in transportation data through innovative methodologies like bias reduction in imbalanced datasets and integrating health benefits into infrastructure planning.

Paulsen collaborates on large-scale studies using GPS and sensor data to evaluate cycling accessibility and safety. His research has implications for policy development in sustainable urban environments, particularly in丹麦 (Denmark), where cycling is a central transport mode.