Traffic Flow Analyses on Networks With Fuzzy Route Information

Akiyama, Takamasa; Shao, Chunfu; Sasaki, Tsuna

doi:10.2208/jscej.1992.449_145

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…There are two characteristics common to most of these papers: they are based on Wardrop's principle and they are travel time crisp. Akiyama et al (1994) observed that 'in real world, however, the driver can only use fuzzy traffic information even if several types of information are available'. These authors succeeded in formulating the fuzzy user equilibrium with fuzzy travel time.…”

Section: Traffic Assignmentmentioning

confidence: 99%

“…They showed that 'the state of user equilibrium is also generated even if fuzziness of travel time exists'. Akiyama et al (1994) [3] developed Fuzzified Frank-Wolfe algorithm to solve the problem considered. This pioneer paper undoubtedly presents a significant study on the relationship between traffic information and drivers' behavior.…”

Section: Traffic Assignmentmentioning

confidence: 99%

See 1 more Smart Citation

Application of Fuzzy Logic in Transport Planning

Sarkar¹,

Sahoo²,

Sahoo³

2012

IJSC

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Fuzzy logic is shown to be a very promising mathematical approach for modelling traffic and transportation processes characterized by subjectivity, ambiguity, uncertainty and imprecision. The basic premises of fuzzy logic systems are presented as well as a detailed analysis of fuzzy logic systems developed to solve various traffic and transportation planning problems. Emphasis is put on the importance of fuzzy logic systems as universal approximators in solving traffic and transportation problems. This paper presents an analysis of the results achieved using fuzzy logic to model complex traffic and transportation processes.

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Section: Traffic Assignmentmentioning

confidence: 99%

Section: Traffic Assignmentmentioning

confidence: 99%