This paper investigates the opportunities offered by floating car data (FCD) to infer delivering activities. A discrete trip-chain order model (within random utility theory) for light goods vehicles (laden weight less than 3.5 tons) is hence proposed, which characterizes delivery tours in terms of number stops/deliveries performed. Thus, main goal study calibrate a choice estimate per tour usin...

AI-based data synthesis has seen rapid progress over the last several years and is increasingly recognized for its promise to enable privacy-respecting high-fidelity sharing. This reflected by growing availability of both commercial open-sourced software solutions synthesizing private data. However, despite these recent advances, adequately evaluating quality generated synthetic datasets still ...