Abstract
Traffic flow on road network has a character of disequilibrium under the road network structure, traffic flow distribution and so on. In order to quantify its imbalance, taking section importance as the index, the model for road network equilibrium analysis is proposed based on the Gini coefficient. First, considering the road network structure, traffic flow distribution and the influence between sections, the section importance measurement based on space-time influence and space-time distribution is constructed to reflect the critical level of sections in the road network. Second, the road network equilibrium is discussed through Gini coefficient and Lorenz curve. Finally, the proposed model is applied in a subset of Beijing’s road network, and the results show that the model is simple and flexible to evaluate road network equilibrium in different dimensions. It has great significance for mastering the distribution law of traffic flow, optimizing road network structure, adjusting traffic capacity allocation and improving the efficiency of road network resources.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Dai HN, Yao EJ, Liu SS et al (2017) Flow inequality of freeway network based on Gini-coefficient. J Transp Syst Eng Inf Technol 17(1):205–211
Sun HJ, Wu JJ, Ma D et al (2014) Spatial distribution complexities of traffic congestion and bottlenecks in different network topologies. Appl Math Model 38:496–505
Deng YJ, Yang YF, Ma RG (2010) Highway network structure characteristics based on complex network theory. China J Highway Transp 23(1):98–104
Shen HF (2012) An approach to analysis and evaluation of highway network structural properties for risk assessment and emergency management. Beijing Jiaotong University, Beijing
He YH, Fan BQ, Dong JS et al (2010) Highway network distribution equilibrium based on Gini coefficient. J Transp Syst Eng Inf Technol 10(6):163–168
Box G, Jenkins G (1976) Time series analysis: forecasting and control. Wiley, San Francisco, USA, pp 256–268
Wang YF, He HL (2007) Spatial data analysis method. Science Press, Beijing, pp 56–57
Peeters D, Thomas I (2009) Network autocorrelation. Geogr Anal 41(4):436–443
Kamarianakis Y, Prastacos P (2005) Space-time modeling of traffic flow. Comput Geosci 31(2):119–133
Wu CF (2015) Research on the evaluation of urban road traffic state based on the combination method. Jiangxi University of Science and Technology, Ganzhou, pp 26–30
Petter H (2003) Congestion and centrality in traffic flow on complex networks. Adv Complex Syst 6(2):163–176
He BQ, Hong XJ (2016) A review of Gini coefficient calculation and its decomposition method. Stat Decis 14:13–17
Acknowledgements
This work was supported in part by the National Key Research and Development Program of China (Grant No. 2017YFC0803900).
Declaration of Conflicting Interests
The authors declare that there is no conflict of interest regarding the publication of this article.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Su, F., Zou, X., Qin, Y., She, S., Su, H. (2020). Road Network Equilibrium Analysis Based on Section Importance and Gini Coefficient. In: Wang, W., Baumann, M., Jiang, X. (eds) Green, Smart and Connected Transportation Systems. Lecture Notes in Electrical Engineering, vol 617. Springer, Singapore. https://doi.org/10.1007/978-981-15-0644-4_86
Download citation
DOI: https://doi.org/10.1007/978-981-15-0644-4_86
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-0643-7
Online ISBN: 978-981-15-0644-4
eBook Packages: EngineeringEngineering (R0)