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cs.LG2025★ 4 cited
A Data-Driven Approach to Enhancing Gravity Models for Trip Demand Prediction
Kamal Acharya, Mehul Lad, Liang Sun +1
Accurate prediction of trips between zones is critical for transportation planning, as it supports resource allocation and infrastructure development across various modes of transp…
cs.LG2025★ 3 cited
Neurosymbolic AI for Travel Demand Prediction: Integrating Decision Tree Rules into Neural Networks
Kamal Acharya, Mehul Lad, Liang Sun +1
Travel demand prediction is crucial for optimizing transportation planning, resource allocation, and infrastructure development, ensuring efficient mobility and economic sustainabi…