Freeway traffic control is a broad research area, not only interesting for its applicative
perspective, but also highly motivating for theoretical investigations. This research topic has …

In a mini-review Kerner (2013) it has been shown that classical traffic flow theories and
models failed to explain empirical traffic breakdown—a phase transition from metastable …

This book shows the history of traffic flow modelling from the perspective of modern day
applications. Traffic flow models describe how vehicles travel over roads, at which speeds …

Automated vehicles or AVs (ie, those that have the ability to operate without a driver and can
communicate with the infrastructure) may transform the transportation system. This study …

In recent years, the field of neuroscience has gone through rapid experimental advances
and a significant increase in the use of quantitative and computational methods. This growth …

Urban traffic congestion has become an important issue not only affecting our daily lives, but
also limiting economic development. The primary cause of urban traffic congestion is that the …

Emerging compute-intensive and latency-sensitive vehicular applications are expected to be
deployed at the edge instead of the cloud to shorten the network latency. Mobile fog nodes …

A higher degree of heterogeneity in vehicle class and drivers, coupled with non-lane-based
driving habits, creates several challenges in traffic flow analysis. This study investigates …

To mitigate externalities of the urban transportation system, various travel demand
management policies have been tested across the world in the past decades. Among them …

The essential distinction between the Fundamental Diagram Approach (FDA) and Kerner's
three-phase theory (KTPT) is the existence of a unique gap–speed (or flow–density) …