Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Fuzzy adaptive traffic signal control-principles and results

Authors: J. Niittymaki; R. Nevala;

Fuzzy adaptive traffic signal control-principles and results

Abstract

Traffic engineering handles complex problems that include several objects, some of which are conflicting. Subjective and illogical behavior of traffic users still increase the vagueness of the transportation planning and study. Fuzzy logic and its capability to imitate human decision-making provide systematic approach to the multi-objective problem solving, which makes it competitive method also in traffic signal controlling. This paper discusses the fuzzy traffic signal control in general and presents some results of fuzzy signal control, which indicate good performance compared to traditional vehicle actuated signal control.

  • BIP!
    Impact byBIP!
    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).
    2
    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).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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!
2
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!