The cellular automata (CA) approach to traffic modelling is extended to allow for spatially
homogeneous steady state solutions that cover a two-dimensional region in the flow–density …

A new stochastic cellular automaton (CA) model of traffic flow, which includes slow-to-start
effects and a driver's perspective, is proposed by extending the Burgers CA and the Nagel …

The objective of this study was to develop a heterogeneous traffic-flow model to study the
possible impact of connected and autonomous vehicles (CAVs) on the traffic flow. Based on …

We propose an extended cellular automaton model for traffic flow, taking into account lateral
interactions with defects and between vehicles. The fundamental diagram for a given defects …

Traffic is highly influenced by network structure and human behaviour. Small changes in the
human behaviour can lead to huge changes in the load of a traffic network. Current …

In urban streets, the intrusion of pedestrians into the motorway will pose a considerable
challenge. However, modelling mixed pedestrian-vehicle traffic scenes is difficult …

We study a model of traffic where drivers adopt different behavioral strategies. These can be
cooperative or defective according to a driver abiding or not by a traffic rule. Drivers can …

A cellular automata model is proposed to simulate microscopic traffic flow. In this type of
models, based on methods from statistical physics, vehicles follow a reduced set of rules that …

Summary Lee et. al.[1] have proposed a cellular automaton model that emphasizes the
conflict between human overreaction and limited mechanical capabilities as the origin of …

In this study, we investigate the dynamical behavior of network traffic flow. We first build a
two-stage mathematical model to analyze the complex behavior of network flow, a …