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A Fuzzy Logic Modeling Approach to Assess the Speed Limit Suitability in Urban Street Networks

  • Yaser E. Hawas
  • Md. Bayzid Khan
Part of the Communications in Computer and Information Science book series (CCIS, volume 358)

Abstract

This paper discusses the development of fuzzy logic model for estimating the 85th 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 85th percentile speed to a reasonable level.

Keywords

85th Percentile Speed Posted Speed Limit Fuzzy Logic Neuro-fuzzy Training 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Yaser E. Hawas
    • 1
  • Md. Bayzid Khan
    • 1
  1. 1.Roadway, Transportation and Traffic Safety Research CenterUAE UniversityAl AinUnited Arab Emirates

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