Reinforcement Learning (RL) has achieved tremendous success in many complex decision-
making tasks. However, safety concerns are raised during deploying RL in real-world …

There has been a paradigm-shift in urban logistic services in the last years; demand for real-
time, instant mobility and delivery services grows. This poses new challenges to logistic …

Combining trucks and drones in package delivery provides a promising venue for a future
logistics system that is more efficient and sustainable than the existing one. However, how to …

The majority of global road transportation emissions come from passenger and freight
vehicles. Electric vehicles (EV) provide a sustainable transportation way, but customers' …

This study presents a hybrid solution for the charging station location-capacity problem. The
proposed approach simultaneously determines the location and capacity of charging …

Accurate and real-time tracking for real-world urban logistics has become a popular
research topic in the field of intelligent transportation. While the routing of urban logistic …

Disruptions to airline schedules precipitate flight delays/cancellations and significant losses
for airline operations. The goal of the integrated airline recovery problem is to develop an …

Reinforcement Learning (RL) has achieved tremendous success in many complex decision-
making tasks. However, safety concerns are raised during deploying RL in real-world …

An efficient manufacturing system is key to maintaining a healthy economy today. With the
rapid development of science and technology and the progress of human society, the …

With the rise of e-commerce and increasing customer requirements, logistics service
providers face a new complexity in their daily planning, mainly due to efficiently handling …