01558185

Component

The systematic complexity of typical urban road networks is analyzed in this paper with the comparison of 3 cities, Beijing, Guangzhou and Xi‟an in China. The basic purpose is to find out whether large-scale urban road networks have any similarities in systematic complexity like other networks, such as Internet or neural network which have been found very different from the regular networks or random networks. This research is necessary for two reasons, (i) road network is a primary input in urban transportation research fields; (ii) It is a good chance to seek the characteristics of large-scale urban networks by introducing the complex network theory. At first, the authors provide a representation of urban road networks by employing a dual method named Intersection Continuity Negotiation (ICN). Then a comparative study of network structural characteristics is made to see the complexity evidence in these cases. Through using a series of network indexes and analysis techniques on the dual graph, the results show that the three large-scale urban networks in China have a broad degree distribution typical of scale-free networks and exhibit small-world properties as well.

This paper was sponsored by TRB committee ADB30 Transportation Network Modeling.

01550057

15-4997

English

17p

2015

Transportation Research Board 94th Annual Meeting

Digital/other

Figures; References; Tables

Macroscopic traffic flow; Networks; Traffic estimation; Urban highways

Beijing (China); Guangzhou (China); Xi'an (China)

Highways; Operations and Traffic Management; I73: Traffic Control

Transportation Research Board Annual Meeting 2015 Paper #15-4997

TRIS, TRB, ATRI

Dec 30 2014 1:40PM