1 citations · 1 across the 1 of their papers we have counts for
3 papers
Can large language models assist choice modelling? Insights into prompting strategies and current models' capabilities
Georges Sfeir, Gabriel Nova, Stephane Hess +1
Large Language Models (LLMs) are becoming widely used to support various workflows across different disciplines, yet their potential in discrete choice modelling remains relatively…
A Unified Probabilistic Approach to Traffic Conflict Detection
Yiru Jiao, Simeon C. Calvert, Sander van Cranenburgh +1
Traffic conflict detection is essential for proactive road safety by identifying potential collisions before they occur. Existing methods rely on surrogate safety measures tailored…
An economically-consistent discrete choice model with flexible utility specification based on artificial neural networks
Jose Ignacio Hernandez, Niek Mouter, Sander van Cranenburgh
Random utility maximisation (RUM) models are one of the cornerstones of discrete choice modelling. However, specifying the utility function of RUM models is not straightforward and…