Towards Planning Digital Twins for Urban Mobility

Urban and industrial areas increasingly face complex mobility challenges due to growing commuter demand, infrastructure constraints, and the need for sustainable transport solutions. However, there remains a lack of advanced digital tools to support long-term planning and scenario-based decision-making in such contexts. This paper addresses this gap by presenting BISTWIN, a Mobility Planning Digital Twin (MPDT) designed to support mobility planning in the Bissen industrial zone, Luxembourg. BISTWIN integrates historical traffic data with a high-performance simulation engine to evaluate the impact of mobility interventions. The key contributions include: (i) developing an MPDT tailored to the Bissen industrial zone, (ii) validating the model with publicly available traffic data, and (iii) demonstrating its decision support capabilities through two “what-if” scenarios. BISTWIN offers a scalable framework for sustainable transportation planning, providing valuable insights for future MPDT applications in industrial and urban settings.

9th Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS 2025)