论文信息 - Controllability of Urban Rail Transit Network

Controllability of Urban Rail Transit Network

Due to the rapid development of complex network research, the controllability research of different kinds of large-scale actual network has become a research hotspot nowadays. The purpose of this study is to reveal the controllability of urban rail transit network. First, it built the urban rail transit network topology by analyzing the characteristics of urban rail transit network structure. Then, a controllability model of subway is set up based on control theory of state equation. In the model, we defined the departure train as driver node. Whether the system is controllable is determined by driver nodes. At last, we analyzed urban rail transit network structure and compared the controllability of the city of Beijing, Guangzhou, and Dongjing. The result shows that the existing subway network is uncontrollable because of the complex structure of subway. We can increase the number of driver nodes in order to make it controllable.

[1] Su Housheng,et al. RECENT PROGRESS IN CONTROL OF COMPLEX DYNAMICAL NETWORKS , 2008 .

[2] Juan P. Fernández Palacios,et al. A reliability analysis of Double-Ring topologies with Dual Attachment using p-cycles for optical metro networks , 2010, Comput. Networks.

[3] Guanrong Chen,et al. Pinning control of scale-free dynamical networks , 2002 .

[4] Gilbert Laporte,et al. Evaluating passenger robustness in a rail transit network , 2012 .

[5] Albert-László Barabási,et al. Controllability of complex networks , 2011, Nature.

[6] Guanrong Chen,et al. Problems and Challenges in Control Theory under Complex Dynamical Network Environments , 2013 .

[7] A. Ferrarini. Some thoughts on the control of network systems , 2011 .

[8] Márton Pósfai,et al. Connecting Core Percolation and Controllability of Complex Networks , 2014, Scientific Reports.

[9] Panagiotis Angeloudis,et al. Large subway systems as complex networks , 2006 .

[10] A. Lombardi,et al. Controllability analysis of networks. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[11] Li Wang,et al. Controllability of Train Service Network , 2015 .

[12] Jie Ren,et al. Controlling complex networks: How much energy is needed? , 2012, Physical review letters.

[13] Tamás Vicsek,et al. Controlling edge dynamics in complex networks , 2011, Nature Physics.