MODELLING AND CONTROLLING OF CAR-FOLLOWING BEHAVIOR IN REAL TRAFFIC FLOW USING ARMAX IDENTIFICATION AND MODEL PREDICTIVE CONTROL

다국어 초록 (Multilingual Abstract)

Nowadays, car following models, as the most popular microscopic traffic flow modeling, are increasingly being used by transportation experts to evaluate new Intelligent Transportation System (ITS) and Advanced Driver Assistance Systems (ADAS) applications. 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 data set and presents a Model Predictive Control (MPC) controller. An important advantage of this type of control is its ability to cope with constraints on controls. Since safety and operational efficiency are constraints for car following, therefore we have recruited this type of controller in this study to deal with these constraints. Based on the relative distance and relative acceleration of each instant, the MPC predicts the future behavior of the leader vehicle (LV) and according to this behavior, the acceleration of the follower vehicle (FV) is controlled. The MPC tries to control this acceleration in a way to keep the relative distance at a safe region. To investigate the performance of the designed controller, the result of the system is compared with the behavior of human drivers with similar initial conditions. Also, some other test performances were accomplished to investigate other features such as robustness and the stability of the designed MPC. The simulation 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.

참고문헌 (Reference)

1 "US 101 Highway (Hollywood Freeway)"

2 Bemporad, A., "The explicit linear quadratic regulator for constrained systems" 38 (38): 3-20, 2002

3 Ljung, L., "System Identification ToolboxTM 8 User’s Guide"

4 Soderstrom, T., "System Identification" Prentice-Hall 1989

5 Katayama, T., "Subspace Methods for System Identification" Springer-Verlag 2005

6 Zegeye, S. K., "Reduction of travel times and traffic emissions using model predictive control" 5392-5397, 2009

7 Terwen, S., "Predictive powertrain control for heavy duty truck" 451-457, 2004

8 Maciejowski, J. M., "Predictive Control with Constraints" Prentice Hall 2002

9 Pan, D., "Optimal control and discrete time-delay model of car following" 5657-5661, 2008

10 Pipes, L. A., "Operational analysis of traffic dynamics" 24 (24): 274-281, 1953

11 Kamal, M. A. S., "On board eco-driving system for varying roadtraffic environments using model predictive control" 1636-1641, 2010

12 Panwai, S., "Neural agent car following models" 8 (8): 60-70, 2007

13 US Department of Transportation, "NGSIM–Next Generation Simulation"

14 Zhu, Y., "Multivariable System Identification for Process Control" Pergamon 2001

15 Ogata, K., "Modern Control Engineering" Prentice Hall 2010

16 Baskar, L. D., "Model-based predictive traffic control for intelligent vehicles: Dynamic velocity limits and dynamic lane allocation" 174-179, 2008

17 Li, S., "Model predictive multi-objective vehicular adaptive cruise control" 19 (19): 556-566, 2011

18 Garcia, C. E., "Model predictive control: Theory and practice, a survey" 25 (25): 335-348, 1989

19 Tettamanti, T., "Model predictive control in urban traffic network management" 25-27, 2008

20 Luo, L. H., "Model predictive control for adaptive cruise control with multiobjectives: Comfort, fuel-economy, safety and carfollowing" 11 (11): 191-201, 2010

21 Wang, L., "Model Predictive Control System Design and Implementation Using MATLAB" Springer-Verlag London 2009

22 Limon, D., "MPC for tracking piecewise constant references for constrained linear systems" 44 (44): 2382-2387, 2008

23 T. Y. SHIN, "MODIFIED LATERAL CONTROL OF AN AUTONOMOUS VEHICLE BY LOOK-AHEAD AND LOOK-DOWN SENSING" 한국자동차공학회 12 (12): 103-110, 2011

24 V. T. MINH, "MODELING AND MODEL PREDICTIVE CONTROL FOR HYBRID ELECTRIC VEHICLES" 한국자동차공학회 13 (13): 477-485, 2012

25 M. H. LEE, "LATERAL CONTROLLER DESIGN FOR AN UNMANNED VEHICLE VIA KALMAN FILTERING" 한국자동차공학회 13 (13): 801-807, 2012

26 Baskar, L. D., "Intelligent speed adaptation in intelligent vehicle highway systems − A model predictive control approach" 57-62, 2008

27 Rasmussen, J., "Information Processing and Humanmachine Interaction: An Approach to Cognitive Engineering" Elsevier 1986

28 Thiemann, C., "Estimating acceleration and lane-changing dynamics based on NGSIM trajectory data" 2088 : 90-101, 2008

29 Zakian, V., "Control Systems Design: A New Framework" Springer-Verlag London 2005

30 Re, L., "Chances and Challenges in Automotive Predictive Control" 402 : 1-22, 2010

31 Rothery, R. W., "Car Following Models" Transportation Research Board 1992

32 Ma, X., "Behavior measurement, analysis, and regime classification in car following" 8 (8): 144-156, 2007

33 Taylor, J. R., "An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements" University Science Books 1982

34 T.-H. CHANG, "ADVANCE-F AUTOMATIC CAR-FOLLOWING MODEL AND ITS TRAFFIC CHARACTERISTICS" 한국자동차공학회 12 (12): 933-942, 2011

35 De Winter, J. C. F., "A twodimensional weighting function for a driver assistance system" 38 (38): 189-195, 2008

36 Naus, G. J. L., "A model predictive control approach to design a parameterized adaptive cruise control" 402 : 273-284, 2010

37 Falcone, P., "A model predictive control approach for combined braking and steering in autonomous vehicles" 1-6, 2007

38 Caird, J. K., "A meta-analysis of the effects of cell phones on driver performance" 40 (40): 1282-1293, 2008

39 Khodayari, A., "A historical review on lateral and longitudinal control of autonomous vehicle motions" 421-429, 2010

40 Zhang, H. M., "A car-following theory for multiphase vehicular traffic flow" 39 (39): 385-399, 2005