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Lane Change Trajectory Planning Method of Intelligent Vehicle Based on Virtual Lane
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Junchao Guo, Jinju Shao, Junkai Yuan, Wenxiang Han, Song Gao
Automobile Technology | 2023, (11) : 19 - 26
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Automobile Technology | 2023, (11): 19-26
Lane Change Trajectory Planning Method of Intelligent Vehicle Based on Virtual Lane
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Junchao Guo, Jinju Shao, Junkai Yuan, Wenxiang Han, Song Gao
Affiliations
  • Shandong University of Technology, Zibo 255000
Published: 2023-11-24 doi: 10.19620/j.cnki.1000-3703.20211169
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To make autonomous lane change for intelligent vehicles in the situations with no lane or unclear lane, this paper proposed a lane change trajectory planning method based on virtual lane lines. Firstly, a virtual lane was constructed to divide the road into lanes parallel to the vehicle orientation, the best lane was determined according to the minimum heading angle of collision-free lane change. Secondly, the lane change end state was determined according to the average vehicle speed of the current lane and the target lane. The lane change trajectory was generated using the quintic polynomial combined with vehicle kinematics and dynamics. The path planning algorithm proposed was added to the intelligent planning decision-making module of the intelligent vehicle for simulation and hardware-in-loop test. The results show that the method realizes the function of autonomous lane changing in the situations without lane and improve the safety and driving efficiency of the vehicle in complex traffic environment.

Virtual lane  /  Autonomous lane change  /  Trajectory planning  /  Structured road
Junchao Guo, Jinju Shao, Junkai Yuan, Wenxiang Han, Song Gao. Lane Change Trajectory Planning Method of Intelligent Vehicle Based on Virtual Lane[J]. Automobile Technology, 2023 , (11) : 19 -26 . DOI: 10.19620/j.cnki.1000-3703.20211169
Year 2023 volume Issue 11
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doi: 10.19620/j.cnki.1000-3703.20211169
  • Online Date:2025-12-07
  • Published:2023-11-24
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  • Revised:2022-06-09
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    Shandong University of Technology, Zibo 255000
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
species
占总种数比例
Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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