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Iranian Journal of Mechanical Engineering Transactions of the ISME
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Ghaffari, A., Khodayari, A., Salehinia, S., Nouri-Khajavi, M., Arbab Tafti, M. (2013). Model Predictive Control System Design using ARMAX Identification Method for Car-following Behavior. Iranian Journal of Mechanical Engineering Transactions of the ISME, 14(1), 48-71.
A. Ghaffari; A.R. Khodayari; S. Salehinia; M. Nouri-Khajavi; M.R. Arbab Tafti. "Model Predictive Control System Design using ARMAX Identification Method for Car-following Behavior". Iranian Journal of Mechanical Engineering Transactions of the ISME, 14, 1, 2013, 48-71.
Ghaffari, A., Khodayari, A., Salehinia, S., Nouri-Khajavi, M., Arbab Tafti, M. (2013). 'Model Predictive Control System Design using ARMAX Identification Method for Car-following Behavior', Iranian Journal of Mechanical Engineering Transactions of the ISME, 14(1), pp. 48-71.
Ghaffari, A., Khodayari, A., Salehinia, S., Nouri-Khajavi, M., Arbab Tafti, M. Model Predictive Control System Design using ARMAX Identification Method for Car-following Behavior. Iranian Journal of Mechanical Engineering Transactions of the ISME, 2013; 14(1): 48-71.

Model Predictive Control System Design using ARMAX Identification Method for Car-following Behavior

Article 4, Volume 14, Issue 1 - Serial Number 20, Winter and Spring 2013, Page 48-71  XML PDF (658 K)
Document Type: Research Paper
Authors
A. Ghaffari 1; A.R. Khodayari2; S. Salehinia3; M. Nouri-Khajavi3; M.R. Arbab Tafti3
1Mechanical Engineering Department, K. N. Toosi University of Technology, Tehran
2Department of Mechanical Engineering, Pardis Branch, Islamic Azad University
3Mechanical Engineering Department, Shahid Rajaee Teacher Training University, Tehran
Abstract
The control of car following is essential due to its safety and its operational efficiency. For this purpose, this paper builds a model of car following behavior based on ARMAX structure from a real traffic dataset and design a Model Predictive Control (MPC) system. Based on the relative distance and relative acceleration of each instant, the MPC predicts the future behavior of the leader vehicle and according to this behavior, the acceleration of the follower vehicle is controlled. Validation of the presented controller is done by comparing the behavior of the controller with the human drivers. Results show that the MPC controller has a behavior much safer than that of real drivers and it can provide a pleasant trip for passengers.
Keywords
ARMAX identification; model predictive control (MPC); Intelligent Transportation Systems; car following behavior; modeling and control
Main Subjects
Automotive control systems
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