4 papers
TransportAgents: a multi-agents LLM framework for traffic accident severity prediction
Zhichao Yang, Jiashu He, Jinxuan Fan +1
Accurate prediction of traffic crash severity is critical for improving emergency response and public safety planning. Although recent large language models (LLMs) exhibit strong r…
Fare-Free Bus Service and CO2 Reductions: Evidence from a Natural Experiment
Anna Alberini, Javier Bas, Cinzia Cirillo
We devise a difference-in-difference study design to assess the impact of fare-free bus service in Alexandria, located in the Washington, DC metro area. Our surveys show modest to…
E-bike agents: Large Language Model-Driven E-Bike Accident Analysis and Severity Prediction
Zhichao Yang, Jiashu He, Mohammad B. Al-Khasawneh +2
E-bikes have rapidly gained popularity as a sustainable form of urban mobility, yet their safety implications remain underexplored. This paper analyzes injury incidents involving e…
High Field Magnet Programme -- European Strategy Input
B. Auchmann, E. Todesco, A. Ballarino +6
In this submission, we describe research goals, implementation, and timelines of the High Field Magnet Programme, hosted by CERN. The programme pursues accelerator-magnet R&D with…