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
Impacts of different types of ramps on the traffic flow
TL;DR: In this paper, the impact of the on-and off-ramps in a cellular automaton model for the traffic flow is studied, including the effect of spacing between the on and the offramps on a same periodic road at a intersection (interchange) with another road.
Journal ArticleDOI
Delay times in a cellular traffic flow model for road sections with periodic outflow
Thorsten Neumann,Peter Wagner +1 more
TL;DR: A simple cellular automaton to model traffic flow is used to analyze the impact of traffic lights on travel times, which displays a strong non-trivial dependency on the length of the system, at odds with a well-known formula derived almost 50 years ago by Webster.
Journal Article
Pedestrian Modelling: Current Methods and Future Directions
TL;DR: In this article, the authors provide a review of current methods of modelling pedestrian movements and detailing emerging technologies in pedestrian modelling that hold great potential and are rapidly expanding, and provide a state-of-the-art review.
Journal ArticleDOI
Large-scale dynamic transportation network simulation: A space-time-event parallel computing approach
TL;DR: A synchronous space-parallel simulation strategy to dynamically assign the logical processes to different threads is proposed and applied to simulate large-scale, real-world networks to examine the computational efficiency under different numbers of CPU threads.
Journal ArticleDOI
Resilience Analysis of Transport Networks by Combining Variable Message Signs With Agent-Based Day-to-Day Dynamic Learning
TL;DR: An agent-based day-to-day dynamic model with bounded rationality to capture traffic evolution and drivers’ inertial behaviours when transport networks suffer from local capacity degradation is proposed, and variable message signs are incorporated into the proposed model to improve the resilience.