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A survey on service route and time prediction in instant delivery: Taxonomy, progress, and prospects
Instant delivery services, such as food delivery and package delivery, have achieved
explosive growth in recent years by providing customers with daily-life convenience. An …
explosive growth in recent years by providing customers with daily-life convenience. An …
Graph2route: A dynamic spatial-temporal graph neural network for pick-up and delivery route prediction
Pick-up and delivery (P&D) services such as food delivery have achieved explosive growth
in recent years by providing customers with daily-life convenience. Though many service …
in recent years by providing customers with daily-life convenience. Though many service …
Drl4route: A deep reinforcement learning framework for pick-up and delivery route prediction
Pick-up and Delivery Route Prediction (PDRP), which aims to estimate the future service
route of a worker given his current task pool, has received rising attention in recent years …
route of a worker given his current task pool, has received rising attention in recent years …
Service time prediction for delivery tasks via spatial meta-learning
Service time is a part of time cost in the last-mile delivery, which is the time spent on
delivering parcels at a certain location. Predicting the service time is fundamental for many …
delivering parcels at a certain location. Predicting the service time is fundamental for many …
Modeling intra-and inter-community information for route and time prediction in last-mile delivery
Last-mile delivery, which refers to delivering packages from the depot to customers, is a
crucial step for logistics service. The Route and Time Prediction (RTP) in last-mile package …
crucial step for logistics service. The Route and Time Prediction (RTP) in last-mile package …
A variable neighborhood search algorithm for locker-based drone delivery makespan minimization problem
W Zhu, H Sun, X Hu, Y Ma - Transportation Research Part E: Logistics and …, 2024 - Elsevier
This article studies a novel makespan minimization problem for locker-based drone delivery
in which several automatic drones take lockers as launching and landing platforms. It is a …
in which several automatic drones take lockers as launching and landing platforms. It is a …
Algoritmos de optimización para secuenciación adaptativa de rutas reales en entregas de última milla
Este artículo explora el diseño y aplicación de técnicas de aprendizaje automático para
mejorar los enfoques tradicionales y así resolver problemas de optimización NP-hard. En …
mejorar los enfoques tradicionales y así resolver problemas de optimización NP-hard. En …
Attention enhanced package pick-up time prediction via heterogeneous behavior modeling
The logistics industry has developed rapidly with the popularity of online-to-offline
businesses in recent years. First-mile package pick-up is one of the most critical and …
businesses in recent years. First-mile package pick-up is one of the most critical and …
Spatial Meta Learning With Comprehensive Prior Knowledge Injection for Service Time Prediction
Intelligent logistics relies on accurately predicting the service time, which is a part of time
cost in the last-mile delivery. However, service time prediction (STP) is non-trivial given …
cost in the last-mile delivery. However, service time prediction (STP) is non-trivial given …
CourIRL: Predicting Couriers' Behavior in Last-Mile Delivery Using Crossed-Attention Inverse Reinforcement Learning
Human behavior prediction is an essential AI-based task, which has inspired many real-
world applications. In last-mile logistics, predicting couriers' behavior can benefit the …
world applications. In last-mile logistics, predicting couriers' behavior can benefit the …