Iterative learning identification method for the macroscopic traffic

被引：7

作者：

Hou, Zhong-Sheng ^{[1
]}

Jin, Shang-Tai ^{[1
]}

Zhao, Ming ^{[1
]}

机构：

[1] Advanced Control Systems Laboratory, School of Electronics and Information Engineering, Beijing Jiaotong University

来源：

Zidonghua Xuebao/Acta Automatica Sinica | 2008年 / 34卷 / 01期

关键词：

Iterative learning; Macroscopic traffic flow model; Parameter identification; Repeatability;

D O I：

10.3724/SP.J.1004.2008.00064

中图分类号：

学科分类号：

摘要：

By transforming the macroscopic traffic flow model into a more general discrete-time nonlinear system model, an iterative learning identification method is developed to estimate the parameters of the more general discrete-time nonlinear system, so the macroscopic traffic flow parameters as well, based on the repeatability of the macroscopic traffic flow behavior in a freeway. With rigorous analysis, it is shown that the proposed learning identification scheme can guarantee the convergence and robustness. A number of simulation results are provided to demonstrate the efficacy of the proposed approach.

引用

页码：64 / 71

页数：7

共 19 条

[1]

Parageorgiou M., Kotsialos A., Freeway ramp metering: An overview, IEEE Transactions on Intelligent Transportation Systems, 3, 4, pp. 271-281, (2002)

[2]

Masher D.P., Guidelines for Design and Operation of Ramp Control Systems, (1976)

[3]

Smaragdis E., Papageorgiou M., Kosmatopoulos E., A flow-maximizing adaptive local ramp metering strategy, Transportation Research Part B: Methodological, 38, 3, pp. 251-270, (2003)

[4]

Papageorgiou M., Hadj S.H., Blosseville J.M., Alinea: A local feedback control law for on-ramp metering, Proceedings of the 3rd International Conference on Road Traffic Control, pp. 58-64, (1991)

[5]

Zhang H.M., Ritchie S.G., Jayakrishnan R., Coordinated traffic-responsive ramp control via nonlinear state feedback, Transportation Research Part C: Emerging Technologies, 9, 5, pp. 337-352, (2001)

[6]

Kotsialos A., Papageorgiou M., Mangeas M., Hadj S.H., Coordinated and integrated control of motorway networks via non-linear optimal control, Transportation Research Part C: Emerging Technologies, 10, 1, pp. 65-84, (2002)

[7]

Hou Z.S., Xu J.X., Freeway traffic density control using iterative learning control approach, Proceedings of International Conference on Intelligent Transportation Systems, pp. 1081-1086, (2003)

[8]

Hou Z.S., Zhong H.W., Xu J.X., An iterative learning approach for local ramp metering, Proceedings of International Conference on Control Applications, pp. 989-994, (2004)

[9]

Hou Z.S., Zhong H.W., Xu J.X., Freeway traffic control using iterative learning control-based ramp metering and speed signaling, IEEE Transactions on Vehicular Technology, 56, 2, pp. 466-477, (2007)

[10]

Hou Z.-S., Xu J.-X., Iterative learning control approach for ramp metering, Journal of Control Theory and Applications, 3, 1, pp. 27-34, (2005)

← 1 2 →