Target Vehicle Selection Algorithm for Adaptive Cruise Control Based on Lane-changing Intention of Preceding Vehicle

Abstract To improve the ride comfort and safety of a traditional adaptive cruise control (ACC) system when the preceding vehicle changes lanes, it proposes a target vehicle selection algorithm based on the prediction of the lane-changing intention for the preceding vehicle. First, the Next Generatio...

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Main Authors: Jun Yao, Guoying Chen, Zhenhai Gao
Format: Article
Language:English
Published: SpringerOpen 2021-12-01
Series:Chinese Journal of Mechanical Engineering
Subjects:
Online Access:https://doi.org/10.1186/s10033-021-00650-8
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author Jun Yao
Guoying Chen
Zhenhai Gao
author_facet Jun Yao
Guoying Chen
Zhenhai Gao
author_sort Jun Yao
collection DOAJ
description Abstract To improve the ride comfort and safety of a traditional adaptive cruise control (ACC) system when the preceding vehicle changes lanes, it proposes a target vehicle selection algorithm based on the prediction of the lane-changing intention for the preceding vehicle. First, the Next Generation Simulation dataset is used to train a lane-changing intention prediction algorithm based on a sliding window support vector machine, and the lane-changing intention of the preceding vehicle in the current lane is identified by lateral position offset. Second, according to the lane-changing intention and collision threat of the preceding vehicle, the target vehicle selection algorithm is studied under three different conditions: safe lane-changing, dangerous lane-changing, and lane-changing cancellation. Finally, the effectiveness of the proposed algorithm is verified in a co–simulation platform. The simulation results show that the target vehicle selection algorithm can ensure the smooth transfer of the target vehicle and effectively reduce the longitudinal acceleration fluctuation of the subject vehicle when the preceding vehicle changes lanes safely or cancels their lane change maneuver. In the case of a dangerous lane change, the target vehicle selection algorithm proposed in this paper can respond more rapidly to a dangerous lane change than the target vehicle selection method of the traditional ACC system; thus, it can effectively avoid collisions and improve the safety of the subject vehicle.
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spelling doaj.art-10a19268aad3460a9421f4dac2297d5f2022-12-21T22:44:09ZengSpringerOpenChinese Journal of Mechanical Engineering1000-93452192-82582021-12-0134111810.1186/s10033-021-00650-8Target Vehicle Selection Algorithm for Adaptive Cruise Control Based on Lane-changing Intention of Preceding VehicleJun Yao0Guoying Chen1Zhenhai Gao2State Key Laboratory of Automotive Simulation and Control, Jilin UniversityState Key Laboratory of Automotive Simulation and Control, Jilin UniversityState Key Laboratory of Automotive Simulation and Control, Jilin UniversityAbstract To improve the ride comfort and safety of a traditional adaptive cruise control (ACC) system when the preceding vehicle changes lanes, it proposes a target vehicle selection algorithm based on the prediction of the lane-changing intention for the preceding vehicle. First, the Next Generation Simulation dataset is used to train a lane-changing intention prediction algorithm based on a sliding window support vector machine, and the lane-changing intention of the preceding vehicle in the current lane is identified by lateral position offset. Second, according to the lane-changing intention and collision threat of the preceding vehicle, the target vehicle selection algorithm is studied under three different conditions: safe lane-changing, dangerous lane-changing, and lane-changing cancellation. Finally, the effectiveness of the proposed algorithm is verified in a co–simulation platform. The simulation results show that the target vehicle selection algorithm can ensure the smooth transfer of the target vehicle and effectively reduce the longitudinal acceleration fluctuation of the subject vehicle when the preceding vehicle changes lanes safely or cancels their lane change maneuver. In the case of a dangerous lane change, the target vehicle selection algorithm proposed in this paper can respond more rapidly to a dangerous lane change than the target vehicle selection method of the traditional ACC system; thus, it can effectively avoid collisions and improve the safety of the subject vehicle.https://doi.org/10.1186/s10033-021-00650-8Lane-changing intentionTarget vehicle selectionSupport vector machineAdaptive cruise control
spellingShingle Jun Yao
Guoying Chen
Zhenhai Gao
Target Vehicle Selection Algorithm for Adaptive Cruise Control Based on Lane-changing Intention of Preceding Vehicle
Chinese Journal of Mechanical Engineering
Lane-changing intention
Target vehicle selection
Support vector machine
Adaptive cruise control
title Target Vehicle Selection Algorithm for Adaptive Cruise Control Based on Lane-changing Intention of Preceding Vehicle
title_full Target Vehicle Selection Algorithm for Adaptive Cruise Control Based on Lane-changing Intention of Preceding Vehicle
title_fullStr Target Vehicle Selection Algorithm for Adaptive Cruise Control Based on Lane-changing Intention of Preceding Vehicle
title_full_unstemmed Target Vehicle Selection Algorithm for Adaptive Cruise Control Based on Lane-changing Intention of Preceding Vehicle
title_short Target Vehicle Selection Algorithm for Adaptive Cruise Control Based on Lane-changing Intention of Preceding Vehicle
title_sort target vehicle selection algorithm for adaptive cruise control based on lane changing intention of preceding vehicle
topic Lane-changing intention
Target vehicle selection
Support vector machine
Adaptive cruise control
url https://doi.org/10.1186/s10033-021-00650-8
work_keys_str_mv AT junyao targetvehicleselectionalgorithmforadaptivecruisecontrolbasedonlanechangingintentionofprecedingvehicle
AT guoyingchen targetvehicleselectionalgorithmforadaptivecruisecontrolbasedonlanechangingintentionofprecedingvehicle
AT zhenhaigao targetvehicleselectionalgorithmforadaptivecruisecontrolbasedonlanechangingintentionofprecedingvehicle