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A Comprehensive Evaluation Model for Traffic Rule

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Genetic and Evolutionary Computing (ICGEC 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 536))

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Abstract

This article puts forward a model aimed at evaluating the traffic rule. We build the evaluating models to measure the traffic influencing factors, which can be divided into two kinds, the traffic flow factor and the safety factor. Analyze these factors to judge the performance of the keep-right-except-to-pass rule in light and heavy traffic. Draw the curve about time and other factors, let time be the intermediate variable, by using the figure conversion method, we get the curve in order to analyze the changing situation of each factor in light and heavy traffic. Do the comprehensive analysis of the combination figure by putting all the three curves in one coordinate system. We further set the basic lines as standards to be compared with the observing values. The result shows keep-right-except-to-pass rule performs well in the normal traffic yet badly in the extremely light traffic and the extremely heavy traffic.

The work is partially supported by Fujian Province Education Planning projects (FJJKCG15-051) and Fujian University of Technology Foundation Project (CY-Z15092) and Jiangxi Province Graduate Student Innovation Foundation Project (YC2015-B052).

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Authors and Affiliations

  1. School of Information Science and Engineering, Fujian University of Technology, No. 3 Xueyuan Road, University Town, Fuzhou, 350108, People’s Republic of China

    Lin Xiao & Jeng-Shyang Pan

  2. School of Information Management, Jiangxi University of Finance and Economics, No. 665, West Yuping Road, Nachang, 330013, People’s Republic of China

    Lin Xiao & Minqian Tang

  3. Key Laboratory of Big Data Mining and Applications of Fujian Province, Fuzhou, 350108, Fujian, China

    Lin Xiao & Jeng-Shyang Pan

Authors
  1. Lin Xiao
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  2. Minqian Tang
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  3. Jeng-Shyang Pan
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Corresponding author

Correspondence to Lin Xiao .

Editor information

Editors and Affiliations

  1. College of Information Science and Engineering, Fujian University of Technology, Fuzhou, Fujian, China

    Jeng-Shyang Pan

  2. School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, Guangdong, China

    Jerry Chun-Wei Lin

  3. College of Information Science and Engineering, Fujian University of Technology, Fuzhou, Fujian, China

    Chia-Hung Wang

  4. College of Information Science and Engineering, Fujian University of Technology, Fuzhou, Fujian, China

    Xin Hua Jiang

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Xiao, L., Tang, M., Pan, JS. (2017). A Comprehensive Evaluation Model for Traffic Rule. In: Pan, JS., Lin, JW., Wang, CH., Jiang, X. (eds) Genetic and Evolutionary Computing. ICGEC 2016. Advances in Intelligent Systems and Computing, vol 536. Springer, Cham. https://doi.org/10.1007/978-3-319-48490-7_1

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  • DOI: https://doi.org/10.1007/978-3-319-48490-7_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48489-1

  • Online ISBN: 978-3-319-48490-7

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