Corrections to “Modeling and Identification of Nonlinear Dynamics for Freeway Traffic by Using Information From a Mobile Cellular Network”

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Corrections to “Modeling and Identification of Nonlinear Dynamics for Freeway Traffic by Using Information From a Mobile Cellular Network”

机译：对“通过使用移动蜂窝网络中的信息进行高速公路交通非线性动力学建模和识别”的更正

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《Control Systems Technology, IEEE Transactions on》 |2010年第4期|p.1004-1004|共1页
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1. Modeling and Identification of Nonlinear Dynamics for Freeway Traffic by Using Information From a Mobile Cellular Network [J] . Alessandri A., Bolla R., Gaggero M., Control Systems Technology, IEEE Transactions on . 2009,第4期

机译：基于移动蜂窝网络信息的高速公路交通非线性动力学建模与识别
2. Nonclassical traffic modeling and performance analysis of cellular mobile networks with and without channel reservation [J] . Rajaratnam M., Takawira F. IEEE Transactions on Vehicular Technology . 2000,第3期

机译：具有和不具有信道预留功能的蜂窝移动网络的非经典流量建模和性能分析
3. Dynamic bandwidth sharing for handoff traffic in multimedia mobile cellular networks [J] . Qian Huang, Chan S., Ko K.-T. Electronics Letters . 2003,第10期

机译：多媒体移动蜂窝网络中用于切换业务的动态带宽共享
4. Identification of freeway traffic dynamics using fluid and black-box nonlinear models [C] . A. Alessandri, R. Bolla, M. Gaggero, IEEE Conference on Decision and Control . 2007

机译：使用流体和黑匣子非线性模型识别高速公路交通动态
5. Project-Level Instantaneous Emission Modeling from Mobile Sources for Freeway Lane Closure Using SHRP2 Naturalistic Driving Study Data and Microscopic Traffic Simulation [D] . Bou-Saab, Georges . 2019

机译：使用SHRP2自然驾驶研究数据和微观交通模拟，从移动源进行高速公路车道封闭的项目级瞬时排放建模
6. Interlinked nonlinear subnetworks underlie the formation of robust cellular patterns in Arabidopsis epidermis: a dynamic spatial model [O] . Mariana Benítez, Carlos Espinosa-Soto, Pablo Padilla-Longoria, 2008

机译：互连的非线性子网构成拟南芥表皮中坚固细胞模式的形成：动态空间模型
7. An Approach for Spatial-temporal Traffic Modeling in Mobile Cellular Networks [O] . Wang, Shuo, Zhang, Xing, Zhang, Jiaxin, 2017

机译：移动蜂窝网络中时空流量建模的一种方法网络

Corrections to “Modeling and Identification of Nonlinear Dynamics for Freeway Traffic by Using Information From a Mobile Cellular Network”

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