Sustainable Mobility and Logistics Systems
Description
This research line focuses on the analysis and optimization of mobility and logistics systems, addressing challenges arising from urban congestion, the growth of e-commerce, and the need to reduce environmental impacts. Simulation tools and optimization models are developed to improve the efficiency of passenger and freight transportation, including last-mile solutions adapted to different environments. In addition, data-driven approaches and artificial intelligence techniques are integrated to improve logistics planning and decision-making, including the analysis of supply chains within circular economy contexts.
In terms of development, the research is oriented towards the integration of transport and energy systems, as well as the optimization of shared mobility services. Decision-support tools are designed to adapt strategies to different urban contexts, incorporating uncertainty and demand variability. Furthermore, work is carried out on improving logistics chains through approaches that combine direct and reverse logistics, contributing to more sustainable, efficient, and resilient systems.
Main Projects
- 2021-2024. Mobility in the city of the future. Preparing the cities for the new 2030 mobility through the 4 Spanish polytechnic universities
- 2021. WUM- Women in Urban Mobility (WUM)
- 2020-2024. New Integrated Model of Urban Distribution of Goods in the city of Barcelona: living with public space
- 2020. Pro-MaaS
- 2019. EIT Urban Mobility Start-up phase
- 2016-2020. Concepts, tools, models and algorithms for the Supply Chain design
- 2016-2020. Mobility ecosystem
- 2016-2019. Assembly set modularity as a productivity improvement system
- 2016-2018. Optimization of scheduling problems in container yard (SCHEYARD)
Share: