Multi-Objective Adaptive Cruise Control Strategy Based on Variable Time Headway
Authors: 
Lie Guo, Pingshu Ge, Yanfu Qiao, and Linna XuAuthors Info & Claims
Lie Guo, Pingshu Ge, Yanfu Qiao, and Linna XuAuthors Info & ClaimsJune 2018
Pages 203 - 208
Abstract
To satisfy the requirements of safety, ride comfort and fuel-economy for electric vehicles with four in-wheel motors, a multi-objective Adaptive Cruise Control (ACC) strategy based on Variable Time Headway (VTH) under the framework of Model Predictive Control (MPC) is proposed. The characteristic of mutual longitudinal kinematics between the host and the preceding vehicle is analyzed by considering the dynamic change law of vehicle spacing, relative velocity, acceleration, the variation of acceleration and preceding vehicles’ acceleration. The predictive VTH strategy is used to balance the multiple control objectives and ensure the safety of the vehicle as far as possible. The multi-objective control requirements are transformed into the performance indexes and constraints of the ACC system, which is optimized utilizing MPC. Then the expected acceleration is utilized to determine the required torque for each wheel to meet the dynamic requirements of vehicle driving process. Finally, the multi-objective ACC strategy is simulated and analyzed by using the Carsim and Simulink. Results indicate that the proposed method can satisfy the safety and ride comfort objectives with good fuel-economy.
References
[1]
A. R. Girard, J. B. de Sousa, J. A. Misener, and J. K. Hedrick, “A control architecture for integrated cooperative cruise control and collision warning systems,” in Proc. of the 40th IEEE Conf. on Decision and Control, 2001, pp. 1491–1496.
[2]
L. Xiao and F. Gao, “A comprehensive review of the development of adaptive cruise control systems,” Vehicle System Dynamics, vol. 48, no. 10, pp. 1167–1192, 2010.
[3]
A. Vahidi and A Eskandarian. “Research advances in intelligent collision avoidance and adaptive cruise control,” IEEE Trans. on Intelligent Transportation Systems, vol. 4, no. 3, pp. 143–153, 2003.
[4]
P. Shakouri, A. Ordys, D. S. Laila, and M. Askari, “Adaptive cruise control system: Comparing gain-scheduling PI and LQ controllers,” IFAC Proceedings Volumes, vol. 44, no. 1, pp. 12964–12969, 2011.
[5]
H. Khayyam, S. Nahavandi, and S. Davis, “Adaptive cruise control look-ahead system for energy management of vehicles,” Expert systems with applications, vol. 39, no. 3, pp. 3874–3885, 2012.
[6]
G. J. L. Naus, J. Ploeg, M. J. G. Van de Molengraft, W. P. M. H. Heemels, and M. Steinbuch, “Design and implementation of parameterized adaptive cruise control: An explicit model predictive control approach,” Control Engineering Practice, vol. 18, no. 8, pp. 882–892, 2010.
[7]
G. Naus, R. Van Den Bleek, J. Ploeg, and B. Scheepers, “Explicit MPC design and performance evaluation of an ACC Stop-&-Go,” in 2008 American Control Conference, pp. 224–229.
[8]
V. L. Bageshwar, W. L. Garrard, and R. Rajamani, “Model predictive control of transitional maneuvers for adaptive cruise control vehicles,” IEEE Trans. on Vehicular Technology, vol. 53, no. 5, pp. 1573–1585, 2004.
[9]
D. Corona and B. De Schutter, “Adaptive cruise control for a SMART car: A comparison benchmark for MPC-PWA control methods,” IEEE Trans. on Control Systems Technology, vol. 16, no. 2, pp. 365–372, 2008.
[10]
T. W. Lin, S. L. Hwang, and P. A. Green, “Effects of time-gap settings of adaptive cruise control (ACC) on driving performance and subjective acceptance in a bus driving simulator,” Safety Science, vol. 47, no. 5, pp. 620–625, 2009.
[11]
Q. Xu, K. Hedrick, R. Sengupta, and J. Vanderwerf, “Effects of vehicle-vehicle/roadside-vehicle communication on adaptive cruise controlled highway systems,” in Proc. of 2002 Vehicular Technology Conference, vol. 2, pp. 1249–1253.
[12]
P. Fancher, Z. Bareket, H. Peng, and R. Ervin, “Research on desirable adaptive cruise control behavior in traffic streams,” UMTRI - 2003-14, The Federal Highway Admmistration, 400 Seventh Street. S.W. Washington, April 2003.
[13]
K. Santhanakrishnan and R. Rajamani, “On spacing policies for highway vehicle automation,” IEEE Trans. on Intelligent Transportation Systems, vol. 4, no. 4, pp. 198–204, 2003.
[14]
D. Yanakiev and I Kanellakopoulos, “Nonlinear spacing policies for automated heavy-duty vehicles,” IEEE Trans. on Vehicular Technology, vol. 47, no. 4, pp. 1365–1377, 1998.
[15]
J. J. Martinez and C. Canudas-de-Wit, “A safe longitudinal control for adaptive cruise control and stop-and-go scenarios,” IEEE Trans. on control systems technology, vol. 15, no. 2, pp. 246–258, 2007.
[16]
K. Yi and J. Chung, “Nonlinear brake control for vehicle CW/CA systems,” IEEE/ASME Transactions On Mechatronics, vol. 6, no. 1, pp. 17–25, 2001.
[17]
R. Rajamani and C. Zhu, “Semi-autonomous adaptive cruise control systems,” IEEE Transactions on Vehicular Technology, vol. 51, no. 5, pp. 1186–1192, 2002.
[18]
J. Zhao, M. Oya, and A. El Kamel, “A safety spacing policy and its impact on highway traffic flow,” in 2009 IEEE Intelligent Vehicles Symposium, 2009, pp. 960–965.
[19]
S. Li, K. Li, and Rajamani R, “Model predictive multi-objective vehicular adaptive cruise control,” IEEE Transactions on Control Systems Technology, vol. 19, no. 3, pp. 556–566, 2011.
Index Terms
- Multi-Objective Adaptive Cruise Control Strategy Based on Variable Time Headway
Index terms have been assigned to the content through auto-classification.
Recommendations
Adaptive cruise control system based on improved variable time headway spacing strategy
In the following process, in order to improve the driving safety and road utilization of the adaptive cruise control (ACC) system, a variable time headway spacing strategy was studied. In view of the fact that the variable spacing strategy cannot adapt to ...
A Progressive Deployment Strategy for Cooperative Adaptive Cruise Control to Improve Traffic Dynamics
Cooperative adaptive cruise control (CACC) vehicles are intelligent vehicles that use vehicular ad hoc networks (VANETs) to share traffic information in real time. Previous studies have shown that CACC could have an impact on increasing highway ...
Improvement of adaptive cruise control system based on speed characteristics and time headway
IROS'09: Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systemsAn adaptive cruise control (ACC) which was implemented on an AIT Intelligent Vehicle, a Mitsubishi Galant car, has been improved and added with more features to allow the vehicle to act with better performance compared with the previous system. An ...
Comments
Information & Contributors
Information
Published In
Jun 2018
2094 pages
Copyright © 2018.
Publisher
IEEE Press
Publication History
Published: 26 June 2018
Qualifiers
- Research-article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Other Metrics
Citations
View Options
View options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in