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Traffic Simulation Framework

Authors: Pawel Góra;

Traffic Simulation Framework

Abstract

In the paper, a software Traffic Simulation Framework is presented. This is an advanced tool for simulating and investigating real vehicular traffic in cities. The software is being developed for few years by the author of the paper and gained recognition and popularity among scientists all over the world. It can be used for conducting advanced experiments related to predicting, managing and optimizing vehicular traffic in cities. The paper introduces cellular automaton-based simulation model, TSF Model, inspired by well-known Nagel-Schreckenberg Model for simulating vehicular traffic on highways. The TSF Model was implemented as a core simulation engine in the TSF software. The paper also presents software's main features, functionalities, recently introduced improvements, plans for the further development and summarizes its previous applications.

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    11
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Average
Top 10%
Top 10%
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