Research on Linear Fractional Town Traffic Flow Model Tactic

Authors

  • Chun Na Zhao School of Information Science and Engineering, Yunnan University

DOI:

https://doi.org/10.14738/tmlai.36.1688

Keywords:

Fractional Order Calculus, Grunwald–Letnikov’s Definition, Linear, Traffic Flow, Model.

Abstract

Traffic flow is a worldwide problem. It has many influencing factors and it is the complex system.  Fractional calculus is a powerful tool for dealing with complex systems. Fractional calculus is a direct way of extending traditional integer order calculus, which allows the order to be a fraction. Fractional order model achieves better results than the integer order model. A linear fractional order model based on Grunwald–Letnikov’s definition for traffic flow is proposed in this paper. City road traffic flow system is composed of a large number of complex dynamic behaviors of traffic participant. It is a highly nonlinear and non-stationary complex system. Firstly, fractional order calculus is introduced. Then the linear fractional order traffic flow model is proposed based on fractional calculus. The fractional order parameters can be determined by a large number of data and mathematical statistics method. The proposed model was simulated and applied to actual Linghai town road traffic flow. The practicability and effectiveness of the method have been validated.

References

(1) Saif Eddin Jabari, Henry X. Liu. A stochastic model of traffic flow: Theoretical foundations. Transportation Research Part B: Methodological, 2012, 46(1): 156-174.

(2) B.G. Heydecker, J.D. Addison. Analysis and modelling of traffic flow under variable speed limits. Transportation Research Part C: Emerging Technologies, 2011, 19(2): 206-217.

(3) Xinkai Wu, Henry X. Liu. A shockwave profile model for traffic flow on congested urban arterials. Transportation Research Part B: Methodological, 2011, 45(10): 1768-1786.

(4) Florian Knorr, Michael Schreckenberg. Influence of inter-vehicle communication on peak hour traffic flow. Physica A: Statistical Mechanics and its Applications, 2012, 391(6): 2225-2231.

(5) Sharad Gokhale. Traffic flow pattern and meteorology at two distinct urban junctions with impacts on air quality. Atmospheric Environment, 2011, 45(10): 1830-1840.

(6) D. Sun, A. Clinet, A.M. Bayen. A dual decomposition method for sector capacity constrained traffic flow optimization. Transportation Research Part B: Methodological, 2011, 45(6): 880-902.

(7) Qiao-Hong Sui, Zhong-Jun Ding, Rui Jiang, Wei Huang, Duo Sun, Bing-Hong Wang. Slow-to-start effect in two-dimensional traffic flow. Computer Physics Communications, 2012, 183(3):547-551

(8) chunna zhao, liming luo, and yu zhao. Fractional Modeling Approach with Mittag-Leffler Functions for Linear Fractional-order System. International Conference on Intelligent Computation Technology and Automation. 2012.1. 386-389.

(9) chunna zhao, liming luo, and yingshun li. Ecological environment evaluation method based on ideal correlation degree. Advances in Biomedical Engineering, 2012, Vol. 7 : 142-148.

(10) C. N. Zhao and X. D. Zhang, The application of fractional order PID controller to position servomechanism, IEEE WCICA, 2008:3380-3383.

(11) O. Pontus and E. Lars, Estimation of absorbed PAR across Scandinavia from satellite measurements. Part II: Modeling and evaluating the fractional absorption, Remote Sensing of Environment, 2007, 110: 240-251.

(12) S. Hapca, J. W. Crawford, K. MacMillan, et al, Modelling nematode movement using time-fractional dynamics, Journal of Theoretical Biology, 2007, 248: 212-224.

(13) W. M. Ahmad and R. El-Khazali, Fractional-order dynamical models of love, Chaos, Solitons & Fractals, 2007, 33: 1367-1375.

(14) J. W. Richard, F. M. William, H. Jenise, et al, Modeling fractional crystallization of group IVB iron meteorites, Geochimica et Cosmochimica Acta, 2008, 72: 2198-2216.

(15) M. C. Guglielmo and A. G. Luis, Modelling the US, UK and Japanese unemployment rates: Fractional integration and structural breaks, Computational Statistics & Data Analysis, 2008, 52: 4998-5013.

(16) Chunna Zhao, Yingshun Li, and Tao Lu. Fractional System Analysis and Design. National Defence Industry Press, 2011.

(17) A. Oustaloup, F. Levron, B. Mathieu, and F.M. Nanot, Frequencyband complex noninteger differentiator: characterization and synthesis,IEEE Trans. Circuits Syst. I, 2000, 47: 25-39.

(18) Jennifer McCrea, Salissou Moutari. A hybrid macroscopic-based model for traffic flow in road networks. European Journal of Operational Research, 2010, 207(2): 676-684.

(19) Martin Treiber, Arne Kesting. Evidence of convective instability in congested traffic flow: A systematic empirical and theoretical investigation. Transportation Research Part B: Methodological, 2011, 45(9): 1362-1377.

(20) Wei-Chiang Hong, Yucheng Dong, Feifeng Zheng, Chien-Yuan Lai. Forecasting urban traffic flow by SVR with continuous ACO. Applied Mathematical Modelling, 2011, 35(3): 1282-1291.

(21) G.H. Peng, X.H. Cai, B.F. Cao, C.Q. Liu. A new lattice model of traffic flow with the consideration of the traffic interruption probability. Physica A: Statistical Mechanics and its Applications, 2012, 391(3): 656-663.

(22) Martin Treiber, Arne Kesting. Validation of traffic flow models with respect to the spatiotemporal evolution of congested traffic patterns. Transportation Research Part C: Emerging Technologies, 2012, 21(1): 31-41.

(23) San-Tong Zhang, Yi-Chuan Chen. Simulation for influence of train failure on railway traffic flow and research on train operation adjusting strategies using cellular automata. Physica A: Statistical Mechanics and its Applications, 2011, 390(21): 3710-3718.

(24) Rodrigo C. Carlson, Ioannis Papamichail, Markos Papageorgiou, Albert Messmer. Optimal mainstream traffic flow control of large-scale motorway networks. Transportation Research Part C: Emerging Technologies, 2010, 18(2): 193-212.

(25) Tamás Luspay, Balázs Kulcsár, István Varga, József Bokor. Parameter-dependent modeling of freeway traffic flow. Transportation Research Part C: Emerging Technologies, 2010, 18(4): 471-488.

(26) G.H. Peng, X.H. Cai, C.Q. Liu, B.F. Cao. A new lattice model of traffic flow with the consideration of the driver’s forecast effects. Physics Letters A, 2011, 375(22):2153-2157.

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Published

2016-01-03

How to Cite

Zhao, C. N. (2016). Research on Linear Fractional Town Traffic Flow Model Tactic. Transactions on Engineering and Computing Sciences, 3(6), 70. https://doi.org/10.14738/tmlai.36.1688