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Road Network Equilibrium Analysis Based on Section Importance and Gini Coefficient

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Book cover Green, Smart and Connected Transportation Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 617))

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.

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Acknowledgements

This work was supported in part by the National Key Research and Development Program of China (Grant No. 2017YFC0803900).

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The authors declare that there is no conflict of interest regarding the publication of this article.

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Correspondence to Xiaofang Zou .

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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

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  • DOI: https://doi.org/10.1007/978-981-15-0644-4_86

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-0643-7

  • Online ISBN: 978-981-15-0644-4

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