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Research Articles
Introduction to the Special Issue on Machine Learning Methods and Applications in Large-Scale Route Planning Problems
Pages:1–7
Published Online:December 12, 2023
Free Access
2021 Amazon Last Mile Routing Research Challenge: Data Set
- Daniel Merchán, Jatin Arora, Julian Pachon, Karthik Konduri, Matthias Winkenbach, Steven Parks, Joseph Noszek
Pages:8–11
Published Online:September 14, 2022
Machine Learning for Data-Driven Last-Mile Delivery Optimization
Pages:27–44
Published Online:October 24, 2023
Neural Network Estimators for Optimal Tour Lengths of Traveling Salesperson Problem Instances with Arbitrary Node Distributions
Pages:45–66
Published Online:December 12, 2023
Dynamic Courier Capacity Acquisition in Rapid Delivery Systems: A Deep Q-Learning Approach
Pages:67–93
Published Online:December 4, 2023
Machine Learning–Based Feasibility Checks for Dynamic Time Slot Management
Pages:94–109
Published Online:November 2, 2022
Heatmap-Based Decision Support for Repositioning in Ride-Sharing Systems
Pages:110–130
Published Online:March 22, 2023
Solving a Continent-Scale Inventory Routing Problem at Renault
Pages:131–151
Published Online:October 31, 2023
How Many Are Too Many? Analyzing Dockless Bike-Sharing Systems with a Parsimonious Model
Pages:152–175
Published Online:October 23, 2023
Empowering the Capillary of the Urban Daily Commute: Battery Deployment Analysis for the Locker-Based E-bike Battery Swapping
Pages:176–197
Published Online:December 6, 2023
Matching vs. Individual Choice: How to Counter Regional Imbalance of Carsharing Demand
Pages:198–218
Published Online:November 21, 2023
Synchronized Deliveries with a Bike and a Self-Driving Robot
Pages:219–239
Published Online:December 8, 2023
Dual Bounds from Decision Diagram-Based Route Relaxations: An Application to Truck-Drone Routing
Pages:257–278
Published Online:December 20, 2023
