NDLI: The method of traffic congestion identification and spatial and temporal dispersion range estimation

Content Provider	IEEE Xplore Digital Library
Author	Guiyan Jiang Shifeng Niu Ande chang Zhiqiang Meng Chunqin Zhang
Copyright Year	2010
Description	Author affiliation: State Key Laboratory of Automotive Dynamic Simulation, Jilin University, Changchun, china (Guiyan Jiang) \|\| Transportation and Traffic College, Jilin University, Changchun, china (Shifeng Niu; Ande chang; Zhiqiang Meng; Chunqin Zhang)
Abstract	In order to improve the efficiency of traffic congestion detection algorithm, this paper proposes a method for application in traffic congestion identification and dispersion range estimation using gain methodology. The traffic data containing volume, speed and occupancy for testing were obtained from a real section and simulation system. The performance of automatic congestion identification (ACI) method and spatial-temporal dispersion range estimation (ACDE) method are evaluated using real and simulation data. The experimental results indicate that the proposed ACI method produced satisfactory DR with deemed acceptable FAR using traffic data of three time scales. The ACDE method is suitable for estimating spatial-temporal dispersion range and produce satisfactory average accuracy.
Starting Page	36
Ending Page	39
File Size	1382690
Page Count	4
File Format	PDF
ISBN	9781424451920
ISSN	19483422
DOI	10.1109/CAR.2010.5456823
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Roads Design methodology Transportation Demand forecasting Telecommunication traffic intelligent transportation systems spatial-temporal dispersion range Robotics and automation Traffic control Automatic control traffic congestion State estimation
Content Type	Text
Resource Type	Article

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