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).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Khoury, J.E., Hobeika, A.G.: Integrated stochastic approach for risk and service estimation: passing sight distance application. J. Transp. Eng. 138, 571–579 (2012)
Bai, W., Cun-Jun, L.I.: Overtaking model based on different limiting speed. J. Transp. Syst. Eng. Inf. Technol. 13, 56–63 (2013)
Wang, R.Q., Zhou, Y.J., Xiao, C.E.: Calculation method of overtaking sight distance for dual-lane highway. J. Traffic Transp. Eng. 11, 67–68 (2011)
Yue, Y., Luo, S., Luo, T.: Micro-simulation model of two-lane freeway vehicles for obtaining traffic flow characteristics including safety condition. J. Mod. Transp. 11, 1–9 (2016)
Li, S., Zhao, X.J., Gao, Y., et al.: The determination of vehicular trajectories based on video image processing technology. In: 10th International Conference on Electric Technology and Civil Engineering, pp. 3086–3090. IEEE Computer Society, New York (2012)
Yao, R.H., Jing, J.: Chain reaction models for vehicle queuing on single-lane road section. Jilin Daxue Xuebao 42, 892–898 (2012)
Bo, Y., Shenghua, X.: The evolutionary game simulation analysis of the multi-agent modeling’s virtual enterprise knowledge transfer. Intell. Mag. 29(5), 20–25 (2010)
Jing, Z., Li, X.: Research on topology control system for mesh networks. J. Chin. Comput. Syst. 34(1), 140–144 (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-319-48490-7_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-48489-1
Online ISBN: 978-3-319-48490-7
eBook Packages: EngineeringEngineering (R0)