Fuzzy logic approach for estimating 85 th percentile speed based on road attribute data

Bayzid Khan, Yaser E. Hawas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper discusses the development of fuzzy logic model for estimating the 85 th percentile speed of urban roads. Spot speed survey was conducted on four randomly selected urban road segments for a typical weekday and a weekend. The considered road segment attribute data are length of the road segment, number of access points/intersecting links, number of pedestrian crossings, number of lanes, hourly traffic volume, hourly pedestrian volume and current posted speed limits of the selected roads. Such attribute data were collected and used as input variables in the model. Two models for weekday and weekend were developed based on the field survey data. Both models were calibrated using the neuro-fuzzy technique for optimizing the fuzzy logic model (FLM) parameters. Analyses of estimated results show that the FLM can estimate the 85 th percentile speed to a reasonable level.

Original languageEnglish
Title of host publicationICAART 2012 - Proceedings of the 4th International Conference on Agents and Artificial Intelligence
Pages46-54
Number of pages9
Publication statusPublished - 2012
Event4th International Conference on Agents and Artificial Intelligence, ICAART 2012 - Vilamoura, Algarve, Portugal
Duration: Feb 6 2012Feb 8 2012

Publication series

NameICAART 2012 - Proceedings of the 4th International Conference on Agents and Artificial Intelligence
Volume1

Other

Other4th International Conference on Agents and Artificial Intelligence, ICAART 2012
Country/TerritoryPortugal
CityVilamoura, Algarve
Period2/6/122/8/12

Keywords

  • 85 percentile speed
  • Fuzzy logic
  • Neuro-fuzzy training
  • Posted speed limit

ASJC Scopus subject areas

  • Artificial Intelligence

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