In recent years, traffic congestion prediction has led to a growing research area, especially
of machine learning of artificial intelligence (AI). With the introduction of big data by …

In this paper, we review trajectory data-based traffic flow studies that have been conducted
over the last 15 years. Our purpose is to provide a roadmap for readers who have an interest …

In this paper, a review of the main actions and policies that can be implemented to promote
sustainable mobility is proposed. The work aims to provide a broad, albeit necessarily not …

Accurate prediction of traffic flow in urban networks is of great significance for smart city
management. A short-term traffic flow prediction algorithm of Quantum Genetic Algorithm …

The development of technologies related to connected and automated vehicles (CAVs)
allows for a new approach to collect vehicle trajectory. However, trajectory data collected in …

Understanding the spatiotemporal characteristics of traffic congestion is the cornerstone of
generating traffic management and control strategies. Based on the large-scale taxi …

Abstract Knowledge of travel times serves an important role in traffic control and
management. As an increasingly popular data source, vehicle trajectories can provide large …

Traffic signal control under oversaturated conditions presents a major challenge in
metropolitan transportation networks. Previous works have demonstrated the ability of back …

As a newly-emerging travel mode in the era of mobile internet, ride-hailing that connects
passengers with private-car drivers via an online platform has been very popular all over the …

Congestion is the most serious issue in both Adhoc mobile networking and regular road
traffic systems. The definition of a vehicle is changing as the automotive industry advances …