In recent years, online ride-hailing services have emerged as an important component of
urban transportation system, which not only provide significant ease for residents' travel …

Applying and adapting deep reinforcement learning (DRL) to tackle transportation problems
is an emerging interdisciplinary field. While rapidly growing, a comprehensive and synthetic …

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 …

The rebalancing of idle vehicles is critical to mitigating the supply–demand imbalance in on-
demand ride services. Motivated by a ride service platform, this paper investigates a short …

In today's economy, it becomes important for Internet platforms to consider the sequential
information design problem to align its long term interest with incentives of the gig service …

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 …

In marine container terminals, truck dispatching optimization is often considered as the
primary focus as it provides crucial synergy between the sea-side operations and yard-side …

In recent years, the multiple traveling salesmen problem (MTSP or multiple TSP) has
received increasing research interest and one of its main applications is coordinated …

We consider the sequential decision-making problem of making proactive request
assignment and rejection decisions for a profit-maximizing operator of an autonomous …

This paper presents an adaptive signal controller for managing traffic delays and urban bus
service reliability with fully adaptable acyclic timing plans. The signal controller is built upon …