NDLI: Evaluation of regional traffic level of service based on adaptive neuro-fuzzy inference

Content Provider	IEEE Xplore Digital Library
Author	Xingyi Li Kaiquan Zhu
Copyright Year	2011
Description	Author affiliation: School of Computer Science and Telecommunication Engineering, Jiangsu University, Zhenjiang, China (Xingyi Li; Kaiquan Zhu)
Abstract	At present, the research on evaluation of urban traffic level of service (LOS) mainly aims at the basic road section and intersection. However, it still lacks unified evaluation index and practical approach. Therefore, in this paper, we propose a method that the regional traffic LOS is evaluated by adaptive neuro-fuzzy inference system (ANFIS). ANFIS is used to emulate human's expertise on specifying four levels of traffic service within Shenzhen Metropolitan Area. This paper takes average delay per mileage of regional road network and scaling exponent which characterizes the uneven degree of traffic flow distribution as evaluation indices. We verify the accuracy of our system by comparing outputs of the system with opinions of experts. The result shows that the method achieves the traffic LOS accurately. It also can reflect the change of regional traffic LOS in the evaluation time interval.
Starting Page	3964
Ending Page	3967
File Size	454705
Page Count	4
File Format	PDF
ISBN	9781457705359
e-ISBN	9781457705366
DOI	10.1109/AIMSEC.2011.6010137
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-08
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Level of service Adaptive systems Roads Inference algorithms Data models Scaling exponent Adaptive neural fuzzy inference system Mathematical model Delay Average delay
Content Type	Text
Resource Type	Article

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