Adaptive cruise control design for enhancing stability
Abstract This paper proposes an optimal design method for the adaptive cruise control model to enhance the string stability with the adaptive cruise control (ACC). First, the influence of control gain parameters on ACC and cooperative adaptive cruise control (CACC) systems is analyzed from theoretic...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer Nature
2025-06-01
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| Series: | Urban Lifeline |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44285-025-00047-2 |
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| _version_ | 1849472635672461312 |
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| author | Yunxia Wu Le Li Yi Wang Guosheng Xiao Yangsheng Jiang Zhihong Yao |
| author_facet | Yunxia Wu Le Li Yi Wang Guosheng Xiao Yangsheng Jiang Zhihong Yao |
| author_sort | Yunxia Wu |
| collection | DOAJ |
| description | Abstract This paper proposes an optimal design method for the adaptive cruise control model to enhance the string stability with the adaptive cruise control (ACC). First, the influence of control gain parameters on ACC and cooperative adaptive cruise control (CACC) systems is analyzed from theoretical and numerical perspectives. Second, we compared the ACC and CACC models. On this basis, an optimal control gain parameter is proposed to consider the string stability of the ACC platoon system. Finally, we designed numerical simulation experiments to verify the effectiveness of the proposed ACC (PACC) model. Results show that compared with the classical ACC model, the PACC model has certain advantages in recovery time, vehicle average velocity, velocity standard deviation, and vehicle collision safety. Moreover, PACC is suitable for most equilibrium velocity scenarios, and it has good string stability with different time gaps, unlike the ACC and CACC models. As a result, the PACC model has better string stability and robustness. Therefore, the PACC model can enhance the string stability and provide theoretical support for designing better ACC systems. |
| format | Article |
| id | doaj-art-2c2dac3ff566413ca07635cb82d6c4e0 |
| institution | Kabale University |
| issn | 2731-9989 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Springer Nature |
| record_format | Article |
| series | Urban Lifeline |
| spelling | doaj-art-2c2dac3ff566413ca07635cb82d6c4e02025-08-20T03:24:29ZengSpringer NatureUrban Lifeline2731-99892025-06-013111710.1007/s44285-025-00047-2Adaptive cruise control design for enhancing stabilityYunxia Wu0Le Li1Yi Wang2Guosheng Xiao3Yangsheng Jiang4Zhihong Yao5School of Transportation and Logistics, Southwest Jiaotong UniversitySchool of Transportation and Logistics, Southwest Jiaotong UniversitySchool of Transportation and Logistics, Southwest Jiaotong UniversitySchool of Transportation and Logistics, Southwest Jiaotong UniversitySchool of Transportation and Logistics, Southwest Jiaotong UniversitySchool of Transportation and Logistics, Southwest Jiaotong UniversityAbstract This paper proposes an optimal design method for the adaptive cruise control model to enhance the string stability with the adaptive cruise control (ACC). First, the influence of control gain parameters on ACC and cooperative adaptive cruise control (CACC) systems is analyzed from theoretical and numerical perspectives. Second, we compared the ACC and CACC models. On this basis, an optimal control gain parameter is proposed to consider the string stability of the ACC platoon system. Finally, we designed numerical simulation experiments to verify the effectiveness of the proposed ACC (PACC) model. Results show that compared with the classical ACC model, the PACC model has certain advantages in recovery time, vehicle average velocity, velocity standard deviation, and vehicle collision safety. Moreover, PACC is suitable for most equilibrium velocity scenarios, and it has good string stability with different time gaps, unlike the ACC and CACC models. As a result, the PACC model has better string stability and robustness. Therefore, the PACC model can enhance the string stability and provide theoretical support for designing better ACC systems.https://doi.org/10.1007/s44285-025-00047-2Traffic flowString stabilityAutonomous vehiclesAdaptive cruise controlVehicle platoon |
| spellingShingle | Yunxia Wu Le Li Yi Wang Guosheng Xiao Yangsheng Jiang Zhihong Yao Adaptive cruise control design for enhancing stability Urban Lifeline Traffic flow String stability Autonomous vehicles Adaptive cruise control Vehicle platoon |
| title | Adaptive cruise control design for enhancing stability |
| title_full | Adaptive cruise control design for enhancing stability |
| title_fullStr | Adaptive cruise control design for enhancing stability |
| title_full_unstemmed | Adaptive cruise control design for enhancing stability |
| title_short | Adaptive cruise control design for enhancing stability |
| title_sort | adaptive cruise control design for enhancing stability |
| topic | Traffic flow String stability Autonomous vehicles Adaptive cruise control Vehicle platoon |
| url | https://doi.org/10.1007/s44285-025-00047-2 |
| work_keys_str_mv | AT yunxiawu adaptivecruisecontroldesignforenhancingstability AT leli adaptivecruisecontroldesignforenhancingstability AT yiwang adaptivecruisecontroldesignforenhancingstability AT guoshengxiao adaptivecruisecontroldesignforenhancingstability AT yangshengjiang adaptivecruisecontroldesignforenhancingstability AT zhihongyao adaptivecruisecontroldesignforenhancingstability |