TY - GEN
T1 - Fuzzy logic approach for estimating 85 th percentile speed based on road attribute data
AU - Khan, Bayzid
AU - Hawas, Yaser E.
PY - 2012/6/15
Y1 - 2012/6/15
N2 - 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.
AB - 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.
KW - 85 percentile speed
KW - Fuzzy logic
KW - Neuro-fuzzy training
KW - Posted speed limit
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M3 - Conference contribution
AN - SCOPUS:84862135582
SN - 9789898425959
T3 - ICAART 2012 - Proceedings of the 4th International Conference on Agents and Artificial Intelligence
SP - 46
EP - 54
BT - ICAART 2012 - Proceedings of the 4th International Conference on Agents and Artificial Intelligence
T2 - 4th International Conference on Agents and Artificial Intelligence, ICAART 2012
Y2 - 6 February 2012 through 8 February 2012
ER -