Optimized Active Collision Avoidance Algorithm of Intelligent Vehicles
This research introduces an innovative strategy to impede and lessen lateral and rear-end vehicular collisions by consolidating braking systems with active emergency steering controls. This study puts forward a T-type active emergency steering method, designed to circumvent both lateral and rear-end...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-05-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/12/11/2451 |
| _version_ | 1797597663687868416 |
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| author | Qingwei Xu Xiangyang Lu Juncai Xu |
| author_facet | Qingwei Xu Xiangyang Lu Juncai Xu |
| author_sort | Qingwei Xu |
| collection | DOAJ |
| description | This research introduces an innovative strategy to impede and lessen lateral and rear-end vehicular collisions by consolidating braking systems with active emergency steering controls. This study puts forward a T-type active emergency steering method, designed to circumvent both lateral and rear-end collisions at vehicular intersections. To secure vehicular stability and condense the time required for steering during the T-type active emergency process, this research formulates a nonlinear dynamic model for the vehicle, in addition to a nonlinear tire model. This study also engages in a thorough analysis of the constraints linked to the initial and terminal states of the steering process. The issue at hand is articulated as an optimization control problem with boundary value restrictions, which is subsequently resolved using the Radau pseudospectral method. Simulation results corroborate that the prompt commencement of the anti-collision strategy can effectively deter potential collisions. This pioneering approach shows considerable promise in augmenting the active safety of intelligent vehicles and bears meaningful implications for high-precision automotive collision evasion systems. |
| first_indexed | 2024-03-11T03:08:45Z |
| format | Article |
| id | doaj.art-8f6c267a87104e768ced84941b0c1914 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-11T03:08:45Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-8f6c267a87104e768ced84941b0c19142023-11-18T07:45:07ZengMDPI AGElectronics2079-92922023-05-011211245110.3390/electronics12112451Optimized Active Collision Avoidance Algorithm of Intelligent VehiclesQingwei Xu0Xiangyang Lu1Juncai Xu2School of Electrical and Information Engineering, Zhongyuan University of Technology, Zhengzhou 450007, ChinaSchool of Electrical and Information Engineering, Zhongyuan University of Technology, Zhengzhou 450007, ChinaDepartment of Civil Engineering, Case Western Reserve University, Cleveland, OH 44106, USAThis research introduces an innovative strategy to impede and lessen lateral and rear-end vehicular collisions by consolidating braking systems with active emergency steering controls. This study puts forward a T-type active emergency steering method, designed to circumvent both lateral and rear-end collisions at vehicular intersections. To secure vehicular stability and condense the time required for steering during the T-type active emergency process, this research formulates a nonlinear dynamic model for the vehicle, in addition to a nonlinear tire model. This study also engages in a thorough analysis of the constraints linked to the initial and terminal states of the steering process. The issue at hand is articulated as an optimization control problem with boundary value restrictions, which is subsequently resolved using the Radau pseudospectral method. Simulation results corroborate that the prompt commencement of the anti-collision strategy can effectively deter potential collisions. This pioneering approach shows considerable promise in augmenting the active safety of intelligent vehicles and bears meaningful implications for high-precision automotive collision evasion systems.https://www.mdpi.com/2079-9292/12/11/2451active emergency steering controlside and rear-end collisionsnonlinear dynamic modeloptimization control problemRadau pseudospectral method |
| spellingShingle | Qingwei Xu Xiangyang Lu Juncai Xu Optimized Active Collision Avoidance Algorithm of Intelligent Vehicles Electronics active emergency steering control side and rear-end collisions nonlinear dynamic model optimization control problem Radau pseudospectral method |
| title | Optimized Active Collision Avoidance Algorithm of Intelligent Vehicles |
| title_full | Optimized Active Collision Avoidance Algorithm of Intelligent Vehicles |
| title_fullStr | Optimized Active Collision Avoidance Algorithm of Intelligent Vehicles |
| title_full_unstemmed | Optimized Active Collision Avoidance Algorithm of Intelligent Vehicles |
| title_short | Optimized Active Collision Avoidance Algorithm of Intelligent Vehicles |
| title_sort | optimized active collision avoidance algorithm of intelligent vehicles |
| topic | active emergency steering control side and rear-end collisions nonlinear dynamic model optimization control problem Radau pseudospectral method |
| url | https://www.mdpi.com/2079-9292/12/11/2451 |
| work_keys_str_mv | AT qingweixu optimizedactivecollisionavoidancealgorithmofintelligentvehicles AT xiangyanglu optimizedactivecollisionavoidancealgorithmofintelligentvehicles AT juncaixu optimizedactivecollisionavoidancealgorithmofintelligentvehicles |