Journal ArticleDOI
A cellular automaton model for freeway traffic
Kai Nagel,Michael Schreckenberg +1 more
TLDR
A stochastic discrete automaton model is introduced to simulate freeway traffic and shows a transition from laminar traffic flow to start-stop- waves with increasing vehicle density, as is observed in real freeway traffic.Abstract:
We introduce a stochastic discrete automaton model to simulate freeway traffic. Monte-Carlo simulations of the model show a transition from laminar traffic flow to start-stop- waves with increasing vehicle density, as is observed in real freeway traffic. For special cases analytical results can be obtained.read more
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Journal ArticleDOI
Modeling Mixed Traffic Flow at Crosswalks in Micro-Simulations Using Cellular Automata*
Yunlong Zhang,Houli Duan +1 more
TL;DR: Simulation results show the ability of the micro-simulation to capture the most important features of mixed traffic flow.
Journal ArticleDOI
Traffic Dynamics of Bicycle Flow: Experiment and Modeling
TL;DR: It is found that jams spontaneously form above a critical density of approximately 0.37 bicycles/m and a cellular automaton model of bicycle flow is proposed, and the simulation results are in agreement with the experiments.
Journal ArticleDOI
Dangerous drivers foster social dilemma structures hidden behind a traffic flow with lane changes
TL;DR: In relatively high- density flows, such as the metastable and high-density phases, the authors found structures that correspond to either n-person Prisoner's Dilemma (n-PD) games or to quasi-PD games.
Journal ArticleDOI
Estimating risk effects of driving distraction: a dynamic errorable car-following model
TL;DR: An extended microscopic car-following model was developed and validated, which can be fully integrated with the naturalistic data and incorporate the probabilities of driver distraction, and is developed to predict the situational risk associated with distracted driving.