[1]

Ling F.H., Catastrophe Theory and its Application, 1987, Shanghai, Shanghai Jiao tong University Press. Google Scholar

[2]

Lu H.P., Sui Y.G., Guo M. et al., Analytical Model and Methodology of Urban Road Mixed Traffic Flow, 2009, Beijing, China Railway Publishing House. Google Scholar

[3]

Zhang Y., Pei Y., Research on traffic flow forecasting model based on cusp catastrophe theory, J. Harbin Inst. Techn., 2004, 11(1), 1-5. Google Scholar

[4]

Tang T.Q., Huang H.J., The discussion of traffic flow forecast by using swallowtail catastrophe theory, J. Math. Study, 2005, 38(1), 112-116. Google Scholar

[5]

Ao G.C., Jia Y.H., Li J. et al., Model of mixed motor vehicles flow parameters based on cusp catastrophe theory, Sys. Eng. Th. Pract., 2009, 29(10), 159-164. Google Scholar

[6]

Hu W.X., Hu J., Gao Y.X., A study on congestion control model based on swallowtail catastrophe theory, Highways Autom. Appl., 2013, 2, 34-36. Google Scholar

[7]

Liu M., A study on the traffic capacity of urban multi-lane roads, 2006, Nanjing, Southeast University. Google Scholar

[8]

Wang Y.P., Wang D.H., Yang S.H. et al., A comprehensive review over the application of catastrophe theory in traffic flow, J. Transport. Syst. Eng. Inform. Techn., 2005, 5(6), 68-71. Google Scholar

[9]

Gong P.F., A study on the grading of emergency response to urban road traffic accidents, Mod. Urb. Res., 2015, (3), 23-27. Google Scholar

[10]

Ni Y.M., Influence factors of traffic capacity of urban roads, 2012, Guangzhou, South China University of Technology. Google Scholar

[11]

Cheng Y., A study on the propagation mechanism of the impact of urban road traffic accidents, 2011, Changchun, Jilin University. Google Scholar

[12]

Li Y., Zhao L.C., Division of catastrophe regions of swallowtail catastrophe model for wheat aphids ecosystem based on criterion of roots of quartic functions, J. Univ. Sci. Techn. Liaoning, 2014, 37(5), 449-454. Google Scholar

[13]

Wei X.L., Zhao H.Y., Liu G.Z. et al., Analysis of pest population dynamic model using swallowtail catastrophe theory, Acta Ecological Sinica, 2009, 29(10), 5478-5484. Google Scholar

[14]

Liu W.H., Dai H.Y., Study on the derailment mechanism of the vehicle based on swallowtail catastrophe theory, J. Mech. Eng. Autom., 2015, (1), 1-3. Google Scholar

[15]

Jiyang B.B., A study on the prediction method of duration of traffic accidents, 2008, Shanghai, Tongji University. Google Scholar

[16]

Zhao X.Q., Theory and method for prediction of duration of traffic accidents, 2010, Beijing, Tsinghua University. Google Scholar

[17]

Jiang L., Yu L.Y., The application of primary catastrophe theory in social science, Sys. Eng. Theory and Practice, 2002, 22(10), 113-122. Google Scholar

[18]

Sun J., Tang Q.M., Control model for emergency logistics capability catastrophe, J. Sys. Eng., 2013, 31(9), 55-62. Google Scholar

[19]

Yuan X.F., Research on key technologies of emergency decision-making for unconventional emergency based on scenario analysis and CBR, 2011, Xi’ an, Xi’an University of Science and Technology. Google Scholar

[20]

Piyaratne M.K.D.K., Zhao H., Meng Q., APHIDSim: A population dynamics model for wheat aphids based on swallowtail catastrophe theory, Ecol. Model., 2013, 253(253), 9-16. CrossrefWeb of ScienceGoogle Scholar

[21]

Hall F.L., An interpretation of speed-flow-concentration relationships using catastrophe theory, Transport. Res. Part A General, 1987, 21(3), 191-201. CrossrefGoogle Scholar

[22]

Forbes G.J., Hall F.L., The applicability of catastrophe theory in modeling freeway traffic operations, Transport. Res. Part A General, 1990, 24(5), 335-344. CrossrefGoogle Scholar

[23]

Gu J., Chen S., Nonlinear Analysis on Traffic Flow Based on Catastrophe and Chaos Theory, Discr. Dyn. Nat. Soc., 2014. Google Scholar

[24]

Papacharalampous A.E., Vlahogianni E.I., Modeling microscopic freeway traffic using cusp catastrophe theory, IEEE Intelligent Transportation Systems Magazine, 2014, 6(1), 6-16. Web of ScienceCrossrefGoogle Scholar

[25]

He X.C., Catastrophe model of traffic flow, J. Changsha Comm. Univ., 1986, 2(2), 81-85. Google Scholar

[26]

Guo J., Chen X.L., Jin H.Z., Research on model of traffic flow based on cusp catastrophe, Contr. Decis., 2008, 23(2), 238-239. Google Scholar

[27]

Chen T., Chen S.F., A study on congestion control model based on catastrophe theory, J. Sys. Eng., 2007, 21(6), 598-605. Google Scholar

[28]

Wang W., Xu J.Q., Yang T. et al., Theory of Urban Traffic Planning and Application, 1998, Nanjing, Southeast University Press. Google Scholar

[29]

Dominguez-Montero E.L., Poggi-Varaldo M.H., Perez-Angon A.M., Jimenez-Cisneros E.B., Canizares-Villanueva O.R., Caffarel-Mendez S. et al., Technological Instruments Patented in Mexico to Treat Wastewater, Rev. Int. De Contaminacion Ambiental, 2017, 33(SI), 43-51. Google Scholar

[30]

Calvo M., Torcal J.I.M., García L.R. A New Stepsize Change Technique for Adams Methods, Appl. Math. Nonlin. Sci., 2016, 1(2), 547-558. Google Scholar

[31]

Gao W., Wang W., A Tight Neighborhood Union Condition On Fractional (G, F, N’, M)-Critical Deleted Graphs. Colloquium Mathematicum, 2017, 149(2), 291-298. Web of ScienceCrossrefGoogle Scholar

[32]

Liu Z., Baghban A., Application of Lssvm for Biodiesel Production Using Supercritical Ethanol Solvent, Energy Sources Part a-Recovery Utilization and Environmental Effects, 2017, 39(17), 1869-1874. CrossrefWeb of ScienceGoogle Scholar

[33]

Aliaga J.I., Sáez R.C., Ortí E.S.Q. Parallel Solution of Hierarchical Symmetric Positive Definite Linear Systems, Appl. Math. Nonlin. Sci., 2017, 2(1), 201-212. Google Scholar

[34]

Tuczek F., Castka P., Wakolbinger T. A Review of Management Theories in the Context of Quality, Environmental and Social Responsibility Voluntary Standards, J. Cleaner Prod., 2018, 176, 399-416. CrossrefWeb of ScienceGoogle Scholar

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