IDENTIFICATION FOR CHAOTIC PHENOMENA IN SHORT-TERM TRAFFIC FLOWS: A PARSIMONY PROCEDURE WITH SURROGATE DATA

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概要

• 論文の詳細を見る

• This paper aims to develop a parsimony procedure to identify if chaotic phenomena exist in a traffic flow dynamics. A wide-ranging comparison of geometric plots and statistics between the observed one-minute traffic data and their surrogates are carried out. The most crucial indexes are selected to establish the parsimony testing procedure, which are successfully validated by known time series data generators and further applied to identification for chaotic traffic time series. We have strong evidence to conclude that chaotic phenomena, rather than random structures, do exist in the nature of freeway short-term (one-minute) traffic during the morning hours.

• Eastern Asia Society for Transportation Studiesの論文

著者

• LAN Lawrence

  Institute of Traffic and Transportation, National Chiao Tung University

• LAN Lawrence

  Institute of Traffic and Transportation National Chiao Tung University

• LIN Feng-Yu

  Department of Criminal Investigation, Central Police University

• KUO April

  Department of Civil and Environmental Engineering, University of Maryland

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• IDENTIFICATION FOR CHAOTIC PHENOMENA IN SHORT-TERM TRAFFIC FLOWS: A PARSIMONY PROCEDURE WITH SURROGATE DATA
• DISCRETE CHOICE MODELING FOR BUNDLED AUTOMOBILE INSURANCE POLICIES
• TRAFFIC FLOW ANALYSIS WITH DIFFEERENT TIME SCALES
• ORDERING AND WAREHOUSING STRATEGIES FOR MULTI-ITEM MULTI-BRANCH FIRM'S INVENTORY: CLUSTERING APPROACHES

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