Accurate traffic speed prediction is critical to modern internet of things-based intelligent
transportation systems. It serves as the foundation of advanced traffic management systems …

The challenges of simultaneous profit maximization and environmental or social externality
mitigation need to be urgently addressed by companies. Accordingly, attention to the …

Autonomous vehicles (AVs), as one of the cores in future intelligent transportation systems
(ITSs), can facilitate reliable and safe traffic operations and services. The ability to …

Crowdsourced navigation is becoming the prevalent automobile navigation solution with the
widespread adoption of smartphones over the past decade, which supports a plethora of …

Recent years have witnessed an explosive growth of online shopping, which has posted
unprecedented pressure on the logistics industry, especially the last mile parcel delivery …

In this paper, we consider an Internet of Electric Vehicles (IoEV) powered by heterogeneous
charging facilities in the transportation network. In particular, we take into account the state …

Autonomous vehicle (AV) integration poses a significant challenge for intelligent
transportation systems (ITSs). The ability to automatically coordinate complex AV operations …

In this article, a new mathematical formulation for the electric vehicle routing problem
(EVRP) is proposed. This formulation extends the Green Vehicle Routing Problem (GVRP) …

Digital Twin (DT) has emerged as an enabling technology for the sixth generation (6G)
vehicle-to-everything (V2X) communications. However, there are two crucial issues on …

In this paper, a double-hidden-layer output feedback neural network fast nonsingular
terminal sliding mode control strategy is developed for path-tracking tasks of autonomous …