A spatial–temporal graph-based AI model for truck loan default prediction using large-scale GPS trajectory data

L Chen, S Ma, C Li, Y Yang, W Wei, R Cui - Transportation Research Part E …, 2024 - Elsevier
With the increasing uncertainties in freight transportation, truck loans are playing a crucial
role in the stability and development of the logistics industry. A pivotal problem to truck loan …

Introduction to the Special Issue on Machine Learning Methods and Applications in Large-Scale Route Planning Problems

M Winkenbach, S Spinler, J Pachon… - Transportation …, 2024 - pubsonline.informs.org
In this paper, we introduce the Special Issue on Machine Learning Methods and
Applications in Large-Scale Route Planning Problems, which draws its inspiration from the …

Parcel loss prediction in last-mile delivery: deep and non-deep approaches with insights from Explainable AI

J de Leeuw, Z Bukhsh, Y Zhang - arXiv preprint arXiv:2310.16602, 2023 - arxiv.org
Within the domain of e-commerce retail, an important objective is the reduction of parcel loss
during the last-mile delivery phase. The ever-increasing availability of data, including …

[PDF][PDF] Understanding Last-Mile Delivery: An Analysis of the Amazon Last Mile Routing Dataset

A Singh - 2023 - researchgate.net
Understanding Last-Mile Delivery: An Analysis of the Amazon Last Mile Routing Dataset
Supervisor Professor Tolga Bektaş Associ Page 1 Understanding Last-Mile Delivery: An Analysis …