Efficient traffic control can alleviate traffic congestion, reduce fuel consumption, and improve
traffic safety. With the development of communication and automation technologies, regular …

Since the subject of traffic dynamics has captured the interest of physicists, many surprising
effects have been revealed and explained. Some of the questions now understood are the …

The new era of sharing information and “big data” has raised our expectations to make
mobility more predictable and controllable through a better utilization of data and existing …

The introduction of connected and autonomous vehicles will bring changes to the highway
driving environment. Connected vehicle technology provides real-time information about the …

It has been well recognized that human driver's limits, heterogeneity, and selfishness
substantially compromise the performance of our urban transport systems. In recent years, in …

This paper proposes a recurrent neural network based microscopic car following model that
is able to accurately capture and predict traffic oscillation. Neural network models have …

В книге излагается математический аппарат и некоторые физические концепции,
которые могут пригодиться при создании (модернизации) интеллектуальной …

Transport researchers and practitioners have long been seeking capable solutions to deal
with the traffic oscillations caused by freeway merging. Although existing approaches based …

In this study, a new s-shaped three-parameter (S3) traffic flow model is proposed to
represent the relationships between three fundamental variables (ie, flow, speed, and …

Faced with the challenge of solving hard optimization problems that abound in the real
world, classical methods often encounter great difficulty. Vitally important applications in …