Modeling and Intelligent Control System Design for Overtaking Maneuver in Autonomous Vehicles

Document Type : Research Paper

Authors

1 Mechanical Engineering Department, K. N. Toosi University of Technology, Terhan, Iran

2 Mechanical Engineering Department, Islamic Azad University, Pardis Branch, Pardis, Iran

3 Mechanical Engineering Department, K. N. Toosi University of Technology, Tehran, Iran

Abstract

The purpose of this study is to design an intelligent control system to guide the overtaking maneuver with a higher performance than the existing systems. Unlike the existing models which consider constant values for some of the effective variables of this behavior, in this paper, a neural network model is designed based on the real overtaking data using instantaneous values for variables. A fuzzy controller is then designed to present trajectory of the overtaking vehicle. Validation of the proposed controller is done by comparing the responses of the controller with the behavior of human drivers. Results show that the controller system intelligently performs like a human driver and also eliminates their mistakes and sudden moves.

Keywords

Main Subjects


 
[1]    Ghaffari, A., Khodayari, A., Alimardani, F., and Sadati, H., “Overtaking Maneuver Behaviour Modeling Based on Adaptive Neuro-Fuzzy Inference System”, IEEE International Conference on Intelligent Computing and Intelligent Systems, pp. 425-429, (2011).
 
[2]    Ghaffari, A., Khodayari, A., Alimardani, F., and Sadati, H., “ANFIS Based Modeling for Overtaking Maneuver Trajectory in Motorcycles and Autos”, IEEE International Conference on Control System, Computing and Engineering, pp. 68-73, (2011).
 
[3]    Khodayari, A., Ghaffari, A., Kazemi, R., and Braunsting, R., “A Modified Car-Following Model Based on a Neural Network Model of the Human Driver Effects”, IEEE Transactions on Systems, Man, and  Cybernetics, Part A-Systems and Humans, Vol. 42, No. 6, pp. 1440-1449, (2011).
 
[4]    Khodayari, A., and Ghaffari, A., “Using the Reaction Delay as the Driver Effects in the Development of Car-Following Models”, International Journal of Automotive Engineering, Vol. 2, No. 1, pp. 50-60, (2012).
 
[5]    Ghaffari, A., Khodayari, A., and Arvin, S., “ANFIS Based Modeling and Prediction Lane Change Behavior in Real Traffic Flow”, IEEE International Conference on Intelligent Computing and Intelligent Systems, pp. 578-582, (2011).
 
[6]    Ghaffari, A., Khodayari, A., Arvin, S., and Alimardani, F., “An ANFIS Design for Prediction of Future State of a Vehicle in Lane Change Behavior”, IEEE International Conference on Control System, Computing and Engineering, pp. 156-161, (2011).
 
[7]    Alimardani, F., “An Intelligent Control System Design for Vehicle Overtaking Process Based on the Microscopic Behavior of Driver and Vehicle”, M.Sc. Thesis, Department of Electrical-Mechatronics, K. N. Toosi University of Technology Tehran, Iran, (2011).
 
[8]    Wang, F., Yang, M., and Yang, R., “Conflict-Probability-Estimation-Based Overtaking for Intelligent Vehicles”, IEEE Transactions on Intelligent Transportation Systems, Vol. 10, No. 2, pp. 366-370, June, (2009).
 
[9]   Mahdi, T. A., “The Effect of Overtaking Provision on the Operating Characteristics of Single Carriageway Roads”, PhD Thesis, University of Wales College of Cardiff, (1991).
[10] Matson, T. W., and Forbes, T. W., “Overtaking and Passing Requirements as Determined from a Moving Vehicle”, Proceeding Highway Research Board, Vol. 18, Pt. 1, pp.100-112, (1938).
 
[11] Roozenburg, A., and Nicholson, A., “Required Passing Sight Distance for Rural Roads: a Risk Analysis”, University of Canterbury, (2000).
 
[12] Mota, S., Ros, E., Díaz, J., Botella, G., Martín, F. V., and Prieto, A., “Motion Driven Segmentation Scheme for Car Overtaking Sequences”, Universidad de Granada, Granada, Spain, Motion Driven Segmentation Scheme, pp. 1-7, (1998).
 
[13] Crawford, A., “The Overtaking Driver”, Ergonomics, Vol. 6, No. 2, pp. 153-170, (1963).
 
[14] Gordon, D. A., and Mart, T. M., “Drivers’ Decision in Overtaking and Passing”, Highway Resources Record, Vol. 247, pp. 57-62, (1968).
 
[15] Jenkins, J. M., and Rillet, L. R., “Classifying Passing Maneuvers, a Behavioral Approach”, Transportation Research Record: Journal of the Transportation Research Board, Vol. 1937, DOI. 10.3141/1937-03, pp. 14–21, (2005).
 
[16] Jamson, S., Charlton, K., and Carsten, O., “Could Intelligent Speed Adaptation make overtaking unsafe?”, Accident Analysis and Prevention, Intelligent Speed Adaptation+Construction Projects, Elsevier, Vol. 48, No. 6, pp. 29-36, (2012).
 
[17] Bar-Gera, H., and Shinar, D., “The Tendency of Drivers to Pass other Vehicles”, Transportation Research Part F, Elsevier, Vol. 8, No. 6, pp. 429–439, (2005).
 
[18] Hegeman, G., Tapani, A, and Hoogendoorn, S., “Overtaking Assistant Assessment using Traffic Simulation”, Transportation Research Part C, Elsevier, Vol. 17, No. 6, pp. 617–630, (2009).
 
[19] Clarke, D. D., Ward, P. J., and Jones, J., “Overtaking Road-Accidents: Differences in Maneuver as a Function of Driver Age”, Accident. Analysis and Prevention, Elsevier, Vol. 30, No. 4, pp. 455–467, (1998).
 
[20] Farah, H., Yechiamb, E., Bekhor, S., Toledo, T., and Polus, A., “Association of Risk Proneness in Overtaking Maneuvers with Impaired Decision Making’, Transportation Research Part F, Elsevier, Vol. 11, No. 5, pp 313–323, (2008).
 
[21] Polus, A., Livneh, M., and Frischer, B., “Evaluation of the Passing Process on Two-lane Rural Highways”, Transportation Research Record: Journal of the Transportation Research Board, TRB, Vol. 1701, pp. 53–60, (2000).
 
[22] Naranjo, J. E., Reviejo, J., González, C., García R., and de Pedro, T., “Overtaking Maneuver Experiments with Autonomous Vehicles”, The 11th International Conference on Advanced Robotics, pp. 1699-1703, (2003).
 
[23] Shamir, T., “How Should an Autonomous Vehicle Overtake a Slower Moving Vehicle: Design and Analysis of an Optimal Trajectory”, IEEE Trans. Autom. Control, Vol. 49, No. 4, pp. 607–610, (2004).
[24] Hassan, S. A. B., “Driver’s Overtaking Behavior on Single Carriageway Road”, M.Sc. Thesis, Faculty of Civil Engineering, University Technology of Malaysia, (2005).
 
[25] Tang, T. Q., Huang, H. J., Wong, S. C., and Xu, X. Y., “A New Overtaking Model and Numerical Tests”, Elsevier, Physica A, Vol. 376, pp. 649–657, (2007).
 
[26] Naranjo, J. E., Gonzalez, C., Garcia, R., and Pedro, T., “Lane-change Fuzzy Control in Autonomous Vehicles for the Overtaking Maneuver’, IEEE Transactions on Intelligent Transportation Systems, Vol. 9, No. 3, pp. 438–450, (2008).
 
[27] Chen, C., Chen, J., and Guo, X., “Influences of Overtaking on Two-lane Technology”, China,  Physica A,  Vol. 389, No. 1, pp. 141-148, (2010).
 
[28] Jin-ying, H., Hong-xia, P., Xi-wang, Y., and Jing-da L., “Fuzzy Controller Design of Autonomy Overtaking System”, 12th International Conference on Intelligent Engineering Systems, pp. 281-285, (2008).
 
[29] Pérez, J., Milanés, V., Onieva, E., Godoy, J., and Alonso, J., “Longitudinal fuzzy Control for Autonomous Overtaking”, IEEE International Conference on  Mechatronics, pp. 188-193, (2011).
 
[30] Mathew, T. V., and Ravishankar, K.V.R., “Neural Network Based Vehicle-following Model for Mixed Traffic Conditions”, European TransportTrasporti Europei, No. 52, pp. 1-15, (2012).
 
[31] US Department of Transportation, “NGSIM - Next Generation Simulation”, ngsim.fhwa.dot.gov, (2009).
 
[32]  Thiemann, C., Treiber, M., and Kesting, A., “Estimating Acceleration and Lane-changing Dynamics Based on NGSIM Trajectory Data”, Transportation Research Record: Journal of the Transportation Research Board, Vol. 2088, pp. 90-101, (2008).