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| Longitudinal and Lateral Coordinated Control of Platoon Based on Improved Intelligent Driver Model |
| QIN Pin-pin1,2, TAN Hong-yun1,2, ZHANG Shun-feng1,2, LI Zi-ming1,2, HUANG Jun-ming1,2 |
1. Guangxi Key Laboratory of Manufacturing System & Advanced Manufacturing Technology, Guangxi Nanning 530004, China;
2. School of Mechanical Engineering, Guangxi University, Guangxi Nanning 530004, China |
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Abstract In order to study the influence of road geometric parameters such as curve, super-elevation and slope on the longitudinal and lateral coordinated control of intelligent and connected platoon, a cooperative control system using the longitudinal velocity of the vehicle as the coupled variable of the longitudinal and lateral motion is designed. The upper acceleration model of longitudinal car-following control adopted the improved intelligent driver model to reflect the influence of road geometric parameters on the car-following behavior. Combined with the inverse longitudinal dynamics model to realize the speed following of the guided vehicle. The lateral trajectory control adopted the single-point preview model in which the preview distance follows the coupling speed change to realize the trajectory tracking of the guided vehicle, and the sliding mode controller is designed to improve trajectory tracking accuracy. The Carsim/Simulink co-simulation platform was built, then acceleration-deceleration, double shifting line and ramp conditions were adopted to verify longitudinal, lateral and cooperative control performance of the cooperative control system. The results show that (1) The longitudinal and lateral cooperative control system has good longitudinal car-following performance and high lateral trajectory tracking accuracy, it maintains high tracking accuracy for the speed and acceleration of the guided vehicle. The distance between vehicles is positively correlated with speed changes, and the inter-vehicle distance tends to be stable when the speed is stable. Meanwhile, the steering angle of the control system has a high consistency with the Carsim's built-in model, and the steering is smooth. The lateral offset is less than 0.2 meters, and the control system with sliding mode control has higher trajectory tracking accuracy. (2) The intelligent and connected platoon composed of the coordinated control system based on the IIDM has more obvious longitudinal and lateral response to the road geometric parameters than the platoon of the IDM. The specific performance is that the deceleration behavior is more obvious, the inter-vehicle distance increase by 0.55 meters, the steering angle reduce and average lateral offsets reduce by 2.51×10-6 meters, which is more conducive to the overall safety of the platoon.
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Received: 22 March 2021
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| Fund:Supported by the Guangxi Innovation-Driven Development Special Project (No.Guike AA18242033; No.GuikeAA18242033-6); the Guangxi Manufacturing System and Advanced Manufacturing Technology Key Laboratory Project (No.19-050-44-S003); the Guangxi Science and Technology Base and Talent Special Project (No.2018AD19349) |
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[1] QIAN Zhi-hong, TIAN Chun-sheng, GUO Yin-jing, et al. The Key Technology and Development of Intelligent and Connected Transportation System[J]. Journal of Electronics & Information Technology, 2020, 42(1):2-19. (in Chinese)
[2] CAO Bo, LI Yong-le, ZHAO Kai, et al. Intelligent Vehicle Longitudinal Decision Making Based on Behavior Recognition[J]. Journal of Transportation Systems Engineering and Information technology, 2020, 20(3):61-66. (in Chinese)
[3] XIE Hui, LIU Shuang-shuang. Lateral and Longitudinal Motion Control of Unmanned Vehicles Using Model Predictive Control[J]. Journal of Automotive Safety and Energy, 2019, 10(3):326-333. (in Chinese)
[4] BAYUWINDRA A, PLOEG J, LEFEBER E, et al. Combined longitudinal and lateral control of car-like vehicle platooning with extended look-ahead[J]. IEEE Transactions on Control Systems Technology, 2020, 28(3):790-803.
[5] CHEN K, PEI X, OKUDA H, et al. A Hierarchical Hybrid System of Integrated Longitudinal and Lateral Control for Intelligent Vehicles[J]. ISA Transactions, 2020, 106:200-212.
[6] TORK N, AMIRKHANI A, SHOKOUHI S B, et al. An Adaptive Modified Neural Lateral-Longitudinal Control System for Path Following of Autonomous Vehicles[J]. Engineering Science and Technology, an International Journal, 2021, 24(1):126-137.
[7] LIANG Yi-xiao, LI Yi-nong, YU Ying-hong, et al. Decoupling Control of Longitudinal and Lateral Motion for Intelligent Vehicle Based on Neural Network Inverse Method[J]. Journal of Hunan University (Natural Science), 2019, 46(10):26-35. (in Chinese)
[8] LI Jun, TANG Shuang, HUANG Zhi-xiang, et al. Longitudinal and Lateral Coordination Control Method of Highspeed Unmanned Vehicles with Integrated Stability[J]. Journal of Traffic and Transportation Engineering, 2020, 20(2):205-218. (in Chinese)
[9] CUI Hong-jun, ZHU Min-qing, XING Jiang-ke, et al. Study on ACC Vehicle Control Mode under Cooperative Vehicle Infrastructure Guidance Strategy for Signalized Intersection[J]. Journal of Highway and Transportation Research and Development, 2019, 36(6):86-93. (in Chinese)
[10] QIN Yan-yan, WANG Hao, RAN Bin. Car-following Modeling for CACC Vehicles and Mixed Traffic Flow Analysis[J]. Journal of Transportation Systems Engineering and Information technology, 2018, 18(2):60-65. (in Chinese)
[11] XUN Tao-rang, YAO Zhi-hong, JIANG Yang-sheng, et al. Fundamental Diagram Model of Considering Reaction Time in Environment of Intelligent Connected Vehicles[J]. Journal of Highway and Transportation Research and Development, 2020, 37(8):108-117. (in Chinese)
[12] YOU Ke-si, WU Jia-heng, SUN Lu, et al. Influence of Road Geometry Parameters on Vehicle Handling Stability[J]. Journal of Highway and Transportation Research and Development, 2011, 28(10):109-117. (in Chinese)
[13] QIN Pin-pin, PEI Shi-kang, YANG Chun-lan, et al. Influence of Road Geometrics on Car-following of the Intelli-gent Driver Model[J]. Journal of Transportation Systems Engineering and Information Technology, 2017, 17(6):77-84. (in Chinese)
[14] QIN Pin-pin, PEI Shi-kang, HOU Xiao-lei, et al. Influence of Different Vehicle Operating Conditions on Driving Safety of CACC Platoon[J]. Journal of Transportation Systems Engineering and Information Technology, 2019, 19(4):33-42. (in Chinese)
[15] YIN Zhi-shuai, HE Jia-xiong, NIE Lin-zhen, et al. Longitudinal Adaptive Control of Autonomous Vehicles Base on Optimization Algorithm[J]. Journal of System Simulation, 2021, 33(2):409-420. (in Chinese)
[16] ZHANG Bing-li, LU Min-yu, CHENG Jin, et al. Track Tracking Lateral Control System with Two-point Preview[J]. Journal of Electronic Measurement and Instrumentation, 2019, 33(5):158-163. (in Chinese)
[17] CHEN Wu-wei, TAN Dong-kui, WANG Hong-bo, et al. A Class of Driver Directional Control Model Based on Trajectory Prediction[J]. Journal of Mechanical Engineering, 2016, 52(14):106-115. (in Chinese)
[18] FAN Hao-yang, LI Shao-hua, WANG Gui-yang. Experimental Analysis of Active Steering Hardware-in-loop Based on Sliding Mode Control[J]. Mechanics in Engineering, 2020, 42(5):543-550. (in Chinese)
[19] ZHOU Bing, TIAN Chen, SONG Yi-tong, et al. Control Strategy of AFS Based on Estimation of Tire-road Friction Coefficient[J]. Journal of Hunan University (Natural Science), 2017, 44(4):16-22. (in Chinese) |
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2022, Vol. 16 
