Abstract
Coordinated evolution is a process with complexity, temporality, spatiality, and continuity. The existed methods cannot relevantly satisfy and measure the degree of coordinated evolution in real conditions. Aiming at solving the coordinated evolution problems for the urban traffic network, the information complexity must be evaluated, this paper uses the multi-dimensional connection number for compressing the factors of traffic network. Firstly, the basic characteristics of traffic network are analysed on the definition of traffic information complexity. The traffic network measurement model is established based on the information entropy, and the coordinated evolution rocess of the multi-layer urban traffic network is analysed for defining the ordered parameters of the traffic network. Then the coordinated measurement model for the multi-layer traffic network is constructed by the ordered parameters. In addition, we set up a coordinated evolution model according to the proposed estimation criteria of the ordered parameters and the theory of the multi-dimensional connection numbers. The case analysis shows that the order degree of Hangzhou traffic network is 0.7929, which approaches to 1 as while the comprehensive coordinated index of Hangzhou multi-layer traffic network is 0.3323, which clearly and intuitively gives a measurement value for the multi-layer urban traffic network. The result is also effectively verified the validity of the proposed models.
Highlights
Traffic system is a dynamic nonlinear and complexity system including traffic network, traffic flow, vehicle speed, congestion, and other traffic conditions
The traffic network measurement model is established based on the information entropy, and the coordinated evolution process of the multi-layer urban traffic network is analysed for defining the ordered parameters of the traffic network
Wang and Zheng (2005) early began studying the measurement model for the planning of urban bicycle traffic network in China. They only proposed a conception of bicycle network planning and managing through analysing urban traffic composition, but they verified that the bicycle network was an important part of urban traffic network in China
Summary
Traffic system is a dynamic nonlinear and complexity system including traffic network, traffic flow, vehicle speed, congestion, and other traffic conditions. That content of spatiotemporal interdependencies inspires us when we considering the traffic network dependency These studies still have some limitations, which can be summarized as follows: (1) the proposed measurement models are not comprehensive enough for accurately measuring the traffic information complexity (Zhang et al 2014; Suzuki et al 2012; Sun 2014; Chen et al 2013; Chen 2013; Liu 2011); (2) the existing researches are mainly based on the static measured data so that the models lack dynamic factors for evaluating the complexity of multi-layer traffic network in practice (Li et al 2013; Zhou et al 2011; Zhu et al 2014).
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