Citation: | YAN Hao, LIU Xiaozhu, SHI Ying. Lane-change Control for Unmanned Vehicle Based on REINFORCE Algorithm and Neural Network[J]. Journal of Transport Information and Safety, 2021, 39(1): 164-172. doi: 10.3963/j.jssn.1674-4861.2021.01.0019 |
[1] |
AHN S, CASSIDY M J. Freeway traffic oscillations and vehicle lane change Maneuvers[C]. 17th International Sympo-sium on Transportation & Traffic Theory, London: Elsevier, 2007.
|
[2] |
邱少林, 钱立军, 陆建辉. 基于最优预瞄的智能车变道控制[J]. 中国机械工程, 2019, 30(23): 2778-2783. doi: 10.3969/j.issn.1004-132X.2019.23.002
QIU Shaolin, QIAN Lijun, LU Jianhui. Lane-change control for intelligent vehicles based on optimal preview[J]. China Mechanical Engineering, 2019, 30(23): 2778-2783. (in Chinese) doi: 10.3969/j.issn.1004-132X.2019.23.002
|
[3] |
林小宁, 顾筠, 沈峘. 车辆自主快速变道的轨迹规划与跟踪控制[J]. 兰州理工大学学报, 2017, 43(6): 108-112. doi: 10.3969/j.issn.1673-5196.2017.06.021
LIN Xiaoning, GU Jun, SHEN Huan. Trajectory planning and follow up controling of vehicle autonomous fast lane change[J]. Journal of Lanzhou University of Technology, 2017, 43(6): 108-112. (in Chinese) doi: 10.3969/j.issn.1673-5196.2017.06.021
|
[4] |
PENG Tao, SU Lili, ZHANG Ronghui. A new safe lane-change trajectory model and collision avoidance control method for automatic driving vehicles[J]. Expert Systems with Applications, 2019, 141: 112953. http://www.sciencedirect.com/science/article/pii/S0957417419306712
|
[5] |
HU Jianjun, XIONG Songsong, ZHA Junlin, FU Chunyun. Lane detection and trajectory tracking control of autonomous vehicle based on model predictive control[J]. International Journal of Automotive Technology, 2020, 20(2): 285-295. doi: 10.1007/s12239-020-0027-6
|
[6] |
WU Xiaodong, QIAO Bangjun, SU Chengrui. Trajectory planning with time-variant safety margin for autonomous vehicle lane change[J]. Applied Sciences-Basel, 2020, 10(5): 16-26. http://www.researchgate.net/publication/339622745_Trajectory_Planning_with_Time-Variant_Safety_Margin_for_Autonomous_Vehicle_Lane_Change
|
[7] |
聂枝根, 王万琼, 赵伟强, 等. 基于轨迹预瞄的智能汽车变道动态轨迹规划与跟踪控制[J]. 交通运输工程学报, 2020, 20(2): 147-160. https://www.cnki.com.cn/Article/CJFDTOTAL-JYGC202002012.htm
NIE Zhigen, WANG Wanqiong, ZHAO Weiqiang, et al. Dynamic trajectory planning and tracking control for lane change of intelligent vehicle based on trajectory preview[J]. Journal of Traffic and Transportation Engineering, 2020, 20(2): 147-160. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JYGC202002012.htm
|
[8] |
蔡英凤, 秦顺琪, 臧勇, 等. 基于可拓优度评价的智能汽车横向轨迹跟踪控制方法[J]. 汽车工程, 2019, 41(10): 1189-1196. https://www.cnki.com.cn/Article/CJFDTOTAL-QCGC201910012.htm
CAI Yingfeng, QIN Shunqi, ZHANG Yong, et al. Lateral trajectory tracking control scheme for intelligent vehicle based on extension goodness evaluation[J]. Automotive Engineering, 2019, 41(10): 1189-1196. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-QCGC201910012.htm
|
[9] |
白成盼, 惠飞, 景首才. 基于微分平坦与MPC的智能车换道控制算法[J]. 计算机技术与发展, 2020, 30(5): 16-20. doi: 10.3969/j.issn.1673-629X.2020.05.004
BAI Chengpan, GU Fei, JING Shoucai. Intelligent car lane change control algorithm based on differential flatness and MPC[J]. Computer Technology and Development, 2020, 30(5): 16-20. (in Chinese) doi: 10.3969/j.issn.1673-629X.2020.05.004
|
[10] |
刘洋. 智能车辆高速公路自动变道轨迹规划与控制研究[D]. 长春: 吉林大学, 2019.
LIU Yang. Research on the trajectory planning and control for automatic lane change of intelligent vehicles on highway[D]. Changchun: Jilin University, 2019. (in Chinese)
|
[11] |
张家旭, 施正堂, 赵健, 等. 基于Radau伪谱法的汽车高速紧急换道避障最优控制策略设计[J]. 汽车工程, 2020, 42 (8): 1040-1049. https://www.cnki.com.cn/Article/CJFDTOTAL-QCGC202008008.htm
ZHANG Jiaxu, SHI Zhengtang, ZHAO Jian, et al. Optimal control strategy design for vehicle high-speed emergency lane change collision avoidance based on Radau pseudospectral method[J]. Auto-motive Engineering, 2020, 42(8): 1040-1049. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-QCGC202008008.htm
|
[12] |
任彧, 赵师涛. 磁导航AGV深度强化学习路径跟踪控制方法[J]. 杭州电子科技大学学报(自然科学版), 2019, 39(2): 28-34. https://www.cnki.com.cn/Article/CJFDTOTAL-HXDY201902006.htm
REN Yu, ZHAO Shitao. Deep reinforcement learning based path following control of magnetic navigation AGV[J]. Journal of Hangzhou Dianzi University(Natural Sciences), 2019, 39(2): 28-34. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-HXDY201902006.htm
|
[13] |
赵师涛. 基于强化学习的磁导航AGV控制方法研究[D]. 杭州: 杭州电子科技大学, 2018.
ZHAO Shitao. Research on Reinforcement Learning based control method of magnetic navigation AGV[D]. Hangzhou: Hangzhou Dianzi University, 2018. (in Chinese)
|
[14] |
ANDREAS B, ANASTASIOS M. Straightpath following for underactuated Marine vessels using deep Reinforcement Learning[J]. IFAC-Papers OnLine, 2018, 51(29): 329-334. doi: 10.1016/j.ifacol.2018.09.502
|
[15] |
WANG Shuti, YING Xunhe, LI Peng, et al. Trajectory tracking control for mobile robots using reinforcement learning and PID[J]. Iranian Journal of Science and Technology Transations of Electrcal Engineering, 2020, 44(2): 1031-1041. doi: 10.1007/s40998-020-00311-x
|
[16] |
PACEJKA H B. Tyre and vehicle dynamics[M]. 2nd Ed. Burlington: butter-worth-heinemann, 2006.
|
[17] |
龚建伟, 姜岩, 徐威. 无人驾驶车辆模型预测控制[M]. 北京: 北京理工大学出版社, 2014.
GONG Jianwei, JIANG Yan, Xu Wei. Model predictive control for self-driving vehicles[M]. Beijing: Beijing Institute of Techno- logy Press. (in Chinese)
|
[18] |
理查德·萨顿, 安德鲁·巴图. 强化学习[M]. 2版. 北京: 电子工业出版社, 2019.
RICHARD S. Sutton, ANDREW G. Barto. Reinforcement Learning: an introducetion[M]. 2ed. Beijing: Electronic Industry Press, 2019. (in Chinese)
|
[19] |
中华人民共和国住房和城乡建设部. 城市快速路设计规程: CJJ 129—2009[S]. 北京: 中国建筑工业出版社, 2009.
Ministry of Housing and Urban-Rural Development of the People's Republic of China. Specification for design of urban expressway: CJJ 129—2009[S]. Beijing: China Architecture & Building Press, 2009. (in Chinese)
|