A simulation of the cascading failure of a complex network model by considering the characteristics of road traffic conditions
- 413 Downloads
Using the dual method, we start with a traditional road traffic network with a constructed logic network with small-world characteristics and construct the complex network of road traffic. After analyzing and comparing with other complex networks, the time delay, restorative, and other characteristics are presented for the complex network of road traffic, and then, the cascading failure model of the complex network is simulated. The simulation results show that using different time delays, an incident dissipation factor and load capacity can reasonably avoid a cascading failure, and they can remove its effects. In addition, our results provide value and guidance for building a road traffic network that prevents and removes the cascading failure of a road network.
KeywordsCascading failure Traffic network Dual model CA model
This work is supported by the National Social Science Foundation of China (Grant Nos. 11CJY067, 14CJY052, 14XGL011) and the Humanities and Social Sciences Programming Project of the Ministry of Education, China (Grant Nos. 12YJC630200, 12YJC630100) and the Natural Science Foundation of Gansu Province, China (Grant Nos. 1208RJZA164, 1308RJYA042, 145RJZA190) and the Construction of Science and Technology Key Project in Gansu Province (Grant No. JK2013-21) and the Social Sciences planning project in Gansu Province, China (Grant No. 13YD066) and the Young Scholars Science Foundation of Lanzhou Jiao tong University (Grant No. 2012056).
- 6.Wang, Z.W., Kuang, A.W., Wang, H.J.: Calculating node importance considering cascading failure in traffic. Networks 5(1), 264–269 (2013)Google Scholar
- 7.Luo, Z.Y., Li, K.P., Ma, X., Zhou, J.: Analyzing railway accidents based on complex network and cascading failure. In: Proceedings of the 2013 international conference on electrical and information technologies for rail transportation (EITRT2013)-volume I. Springer, Berlin, pp. 513–518(2014)Google Scholar
- 9.Wang, X.F., Xu, J.: Cascading failures in coupled map lattices. Phys. Rev. E 70(5), 056113 (2004)Google Scholar
- 16.Tang, T.Q., Caccetta, L., Wu, Y.H., Huang, H.J., Yang, X.B.: A macro model for traffic flow on road networks with varying road conditions. J. Adv. Transp. 48(4), 304–317 (2012)Google Scholar
- 17.Tang, T.Q., Shi, W.F., Shang, H.Y., Wang, Y.P.: A new car-following model with consideration of inter-vehicle communication. Nonlinear Dyn. 76(4), 2017–2023 (2014)Google Scholar
- 18.Tang, T.Q., Shi, W.F., Shang, H.Y., Wang, Y.P.: An extended car-following model with consideration of the reliability of inter-vehicle communication. Measurement 58, 286–293 (2014)Google Scholar
- 19.Nagel, K., Schreckenberg, M.: A cellular automaton model for freeway traffic. J. phys. 2(12), 2221–2229 (1992)Google Scholar