Journal ArticleDOI
A cellular automaton model for freeway traffic
Kai Nagel,Michael Schreckenberg +1 more
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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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Goodput and PDR analysis of AODV, OLSR and DYMO protocols for vehicular networks using CAVENET
TL;DR: A simulation system for VANET called CAVENET is presented and results have shown that DYMO protocol has better performance than AODV and OLSR protocols.
Journal ArticleDOI
Microscopic traffic modeling on parallel high performance computers
K. Nagel,A. Schleicher +1 more
TL;DR: A simple, rule-based approach to traffic flow can yield astonishingly realistic results and is therefore a candidate for very fast large scale microscopic traffic simulations and finds its highest computing speed by employing a single-bit coding scheme used in, e.g., Ising-model programming.
Journal ArticleDOI
Modeling Bicycle Facility Operation: Cellular Automaton Approach
Gregory Gould,Alex Karner +1 more
TL;DR: This work obtains real-world bicycle data and implements a multilane, inhomogeneous cellular automaton simulation model that can reproduce observations and finds that the model emulates field conditions while possibly underpredicting bike path capacity.
Journal ArticleDOI
Discontinuous transition from free flow to synchronized flow induced by short-range interaction between vehicles in a three-phase traffic flow model
TL;DR: This model accomplishes a significative process of developing traffic flow models from the traditional “fundamental diagram approach” to the three-phase traffic theory and simulates the correlation functions, time headway distributions and optimal velocity functions which are more consistent with the empirical data than the previous model and most of the other models published before.
Agents for Traffic Simulation.
TL;DR: In this paper, the authors provide an overview of the state-of-the-art in microscopic traffic modeling and the implications for simulation techniques, focusing on the short-time dynamics of car-following models which describe continuous feedback control tasks (acceleration and braking) and models for discrete choice tasks as a response to the surrounding traffic.