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Study of an optimum scheduling algorithm about buses in city intelligent transport systems

Authors: null Shi-Yi Xie; null Sheng Gao; null Bing Xu;

Study of an optimum scheduling algorithm about buses in city intelligent transport systems

Abstract

Based on the genetic algorithm and artificial intelligence, a new algorithm and a new executive procedure, which aim at the conflict between time and service provided by the public transit system in a city, are presented to solve such problems as the city traffic assignment, the computation for buses running time, the minimum transfer tune in city intelligent transport system.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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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!
1
Average
Average
Average
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