A fuzzy logic modeling approach to assess the speed limit suitability in urban street networks

Yaser E. Hawas; Md Bayzid Khan

doi:10.1007/978-3-642-36907-0_4

A fuzzy logic modeling approach to assess the speed limit suitability in urban street networks

Yaser E. Hawas, Md Bayzid Khan

Department of Civil and Environmental Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Agents and Artificial Intelligence
Subtitle of host publication	4th International Conference, ICAART 2012 Vilamoura, Portugal, February 6-8, 2012 Revised Selected Papers
Publisher	Springer Verlag
Pages	54-68
Number of pages	15
ISBN (Print)	9783642369063
DOIs	https://doi.org/10.1007/978-3-642-36907-0_4
Publication status	Published - 2013

Publication series

Name	Communications in Computer and Information Science
Volume	358
ISSN (Print)	1865-0929

Keywords

Fuzzy Logic
Neuro-fuzzy Training
Posted Speed Limit

ASJC Scopus subject areas

Computer Science(all)
Mathematics(all)

Access to Document

10.1007/978-3-642-36907-0_4

Cite this

Hawas, Y. E., & Khan, M. B. (2013). A fuzzy logic modeling approach to assess the speed limit suitability in urban street networks. In Agents and Artificial Intelligence: 4th International Conference, ICAART 2012 Vilamoura, Portugal, February 6-8, 2012 Revised Selected Papers (pp. 54-68). (Communications in Computer and Information Science; Vol. 358). Springer Verlag. https://doi.org/10.1007/978-3-642-36907-0_4

A fuzzy logic modeling approach to assess the speed limit suitability in urban street networks. / Hawas, Yaser E.; Khan, Md Bayzid.
Agents and Artificial Intelligence: 4th International Conference, ICAART 2012 Vilamoura, Portugal, February 6-8, 2012 Revised Selected Papers. Springer Verlag, 2013. p. 54-68 (Communications in Computer and Information Science; Vol. 358).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hawas, YE & Khan, MB 2013, A fuzzy logic modeling approach to assess the speed limit suitability in urban street networks. in Agents and Artificial Intelligence: 4th International Conference, ICAART 2012 Vilamoura, Portugal, February 6-8, 2012 Revised Selected Papers. Communications in Computer and Information Science, vol. 358, Springer Verlag, pp. 54-68. https://doi.org/10.1007/978-3-642-36907-0_4

Hawas YE, Khan MB. A fuzzy logic modeling approach to assess the speed limit suitability in urban street networks. In Agents and Artificial Intelligence: 4th International Conference, ICAART 2012 Vilamoura, Portugal, February 6-8, 2012 Revised Selected Papers. Springer Verlag. 2013. p. 54-68. (Communications in Computer and Information Science). doi: 10.1007/978-3-642-36907-0_4

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A fuzzy logic modeling approach to assess the speed limit suitability in urban street networks

Abstract

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Keywords

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