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A Cooperative Lane Change Strategy for Intelligent Connected Vehicles Oriented to Mandatory Lane Change Scenarios
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Shurui Guan1, Keqiang Li1, Junyu Zhou1, Jia Shi1, Weiwei Kong2, Yugong Luo1
Automotive Engineering | 2024, 46(2) : 201 - 210
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Automotive Engineering | 2024, 46(2): 201-210
Feature Topic:Key Technologies on Intelligent and Connected Vehicles
A Cooperative Lane Change Strategy for Intelligent Connected Vehicles Oriented to Mandatory Lane Change Scenarios
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Shurui Guan1, Keqiang Li1, Junyu Zhou1, Jia Shi1, Weiwei Kong2, Yugong Luo1
Affiliations
  • 1. School of Vehicle and Mobility,Tsinghua University,State Key Laboratory of Automotive Safety and Energy,Beijing 100084
  • 2. Engineering College,China Agricultural University,Beijing 100083
Published: 2024-02-25 doi: 10.19562/j.chinasae.qcgc.2024.02.002
Outline
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Collaborative lane change technology for intelligent connected vehicles has been widely studied,but existing strategies can hardly solve the problem of vehicle collaboration in mandatory lane change scenarios or may cause notable impact on upstream traffic. For mandatory lane change scenarios demand,a two-stage cooperative lane change strategy considering theoretical minimal safety space is proposed in this paper. Firstly,the control architecture for a two-vehicle cooperative lane change system is proposed and a collaborative lane change scheme is developed for mandatory lane change scenarios. Then,a two-stage receding-horizon trajectory planning strategy of spacing adjustment and collaborative lane change is designed,where the theoretical minimum safe distance is embedded as a constraint of spacing adjustment stage,to solve the problem of conservative spacing strategies in existing research. Finally,numerical simulation and hardware in-loop experiments are performed to verify the effectiveness,advantages and computational real-time performance of the proposed strategy. The results show that the proposed strategy can effectively improve the success rate of lane change,reduce the negative traffic impact while ensuring lane change safety,and is also applicable in real time computing and communication environment of actual edge cloud platform.

intelligent and connected vehicles  /  cooperative lane change  /  mandatory lane change  /  trajectory planning
Shurui Guan, Keqiang Li, Junyu Zhou, Jia Shi, Weiwei Kong, Yugong Luo. A Cooperative Lane Change Strategy for Intelligent Connected Vehicles Oriented to Mandatory Lane Change Scenarios[J]. Automotive Engineering, 2024 , 46 (2) : 201 -210 . DOI: 10.19562/j.chinasae.qcgc.2024.02.002
Year 2024 volume 46 Issue 2
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Article Info
doi: 10.19562/j.chinasae.qcgc.2024.02.002
  • Receive Date:2023-06-29
  • Online Date:2025-07-20
  • Published:2024-02-25
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History
  • Received:2023-06-29
  • Revised:2023-07-28
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Affiliations
    1. School of Vehicle and Mobility,Tsinghua University,State Key Laboratory of Automotive Safety and Energy,Beijing 100084
    2. Engineering College,China Agricultural University,Beijing 100083
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Number of
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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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