Innovation in information and communication technologies (ICTs) is providing us with a
myriad of travel information sources. Knowledge on the influence of information on human …

Traffic speed prediction is known as an important but challenging problem. In this paper, we
propose a novel model, called LC-RNN, to achieve more accurate traffic speed prediction …

Road transportation is one of the main sources of greenhouse gas emissions, which lead to
global warming and climate change. Promoting the decarbonization of this sector through …

Mobile Cloud Computing is a new field of research that aims to study mobile agents (people,
vehicles, robots) as they interact and collaborate to sense the environment, process the …

In view of the emergence and rapid development of the Internet of Vehicles (IoV) and cloud
computing, intelligent transport systems are beneficial in terms of enhancing the quality and …

This paper examines the use of deep recurrent neural networks to classify traffic patterns in
smart cities. We propose a novel approach to traffic pattern classification based on deep …

Vehicles equipped with intelligent systems designed to prevent accidents, such as collision
warning systems (CWSs) or lane-keeping assistance (LKA), are now on the market. The next …

This paper applies the Named Data Networking (NDN) concept to vehicle-to-vehicle (V2V)
communications. Specifically, we develop a simple traffic information dissemination …

Real-time path planning can efficiently relieve traffic congestion in urban scenarios.
However, how to design an efficient path-planning algorithm to achieve a globally optimal …

This paper has proposed an electric vehicle (EV) route selection and charging navigation
optimization model, aiming to reduce EV users' travel costs and improve the load level of the …