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Study on Performance Testing and Evaluation of Adaptive Cruise Control Systems Based on a Self-Constructed Comprehensive Performance Evaluation Index Model.

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Τίτλος: Study on Performance Testing and Evaluation of Adaptive Cruise Control Systems Based on a Self-Constructed Comprehensive Performance Evaluation Index Model.
Συγγραφείς: Zhang, Hongtao, Huang, Wanyou, Wang, Yan, Tian, Xuesong, Fu, Wenjun, Chu, Ruixia, Qiu, Fangyuan
Πηγή: Machines; Jul2026, Vol. 14 Issue 7, p827, 33p
Θεματικοί όροι: Cruise control, Benchmark testing (Engineering), Computer software testing, Human comfort, Transient analysis
Περίληψη: Adaptive cruise control (ACC) performance is affected by multiple coupled factors, including safety margin, dynamic response, spacing regulation, target-transition behavior, and ride comfort. A single indicator is therefore insufficient for comprehensive ACC evaluation. This study proposes an adaptive cruise control comprehensive performance evaluation index model (ACC-CPEIM) for scenario-oriented ACC testing and diagnosis. The model links functional objectives, six typical ACC scenarios, measurable longitudinal indicators, hierarchical weights, and scenario-specific scoring rules into a unified evaluation chain. Time-domain response data are converted into scenario-level, criterion-level, and overall performance scores, while the results remain traceable to specific weak scenarios and performance dimensions. The proposed model was evaluated using a CarSim/Simulink co-simulation platform and further applied to vehicle-test data. The co-simulation results yielded an overall score of approximately 3.32 and identified weak acceleration-following response, insufficient spacing reserve during deceleration, and limited cut-in safety margin as the main limitations. The vehicle-test application produced an overall score of approximately 2.98 and showed that comfort and steady-state control were relatively stronger, whereas target-transition adaptability, safety margin, and dynamic response remained limiting dimensions. The results indicate that the ACC-CPEIM can provide quantitative, interpretable, and engineering-oriented support for ACC performance testing and diagnosis. [ABSTRACT FROM AUTHOR]
Copyright of Machines is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Complementary Index
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An: 195801220
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PubType: Academic Journal
PubTypeId: academicJournal
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  Label: Title
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  Data: Study on Performance Testing and Evaluation of Adaptive Cruise Control Systems Based on a Self-Constructed Comprehensive Performance Evaluation Index Model.
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  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Hongtao%22">Zhang, Hongtao</searchLink><br /><searchLink fieldCode="AR" term="%22Huang%2C+Wanyou%22">Huang, Wanyou</searchLink><br /><searchLink fieldCode="AR" term="%22Wang%2C+Yan%22">Wang, Yan</searchLink><br /><searchLink fieldCode="AR" term="%22Tian%2C+Xuesong%22">Tian, Xuesong</searchLink><br /><searchLink fieldCode="AR" term="%22Fu%2C+Wenjun%22">Fu, Wenjun</searchLink><br /><searchLink fieldCode="AR" term="%22Chu%2C+Ruixia%22">Chu, Ruixia</searchLink><br /><searchLink fieldCode="AR" term="%22Qiu%2C+Fangyuan%22">Qiu, Fangyuan</searchLink>
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  Data: Machines; Jul2026, Vol. 14 Issue 7, p827, 33p
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Cruise+control%22">Cruise control</searchLink><br /><searchLink fieldCode="DE" term="%22Benchmark+testing+%28Engineering%29%22">Benchmark testing (Engineering)</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software+testing%22">Computer software testing</searchLink><br /><searchLink fieldCode="DE" term="%22Human+comfort%22">Human comfort</searchLink><br /><searchLink fieldCode="DE" term="%22Transient+analysis%22">Transient analysis</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Adaptive cruise control (ACC) performance is affected by multiple coupled factors, including safety margin, dynamic response, spacing regulation, target-transition behavior, and ride comfort. A single indicator is therefore insufficient for comprehensive ACC evaluation. This study proposes an adaptive cruise control comprehensive performance evaluation index model (ACC-CPEIM) for scenario-oriented ACC testing and diagnosis. The model links functional objectives, six typical ACC scenarios, measurable longitudinal indicators, hierarchical weights, and scenario-specific scoring rules into a unified evaluation chain. Time-domain response data are converted into scenario-level, criterion-level, and overall performance scores, while the results remain traceable to specific weak scenarios and performance dimensions. The proposed model was evaluated using a CarSim/Simulink co-simulation platform and further applied to vehicle-test data. The co-simulation results yielded an overall score of approximately 3.32 and identified weak acceleration-following response, insufficient spacing reserve during deceleration, and limited cut-in safety margin as the main limitations. The vehicle-test application produced an overall score of approximately 2.98 and showed that comfort and steady-state control were relatively stronger, whereas target-transition adaptability, safety margin, and dynamic response remained limiting dimensions. The results indicate that the ACC-CPEIM can provide quantitative, interpretable, and engineering-oriented support for ACC performance testing and diagnosis. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Machines is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.3390/machines14070827
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      – Code: eng
        Text: English
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        PageCount: 33
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      – SubjectFull: Cruise control
        Type: general
      – SubjectFull: Benchmark testing (Engineering)
        Type: general
      – SubjectFull: Computer software testing
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      – SubjectFull: Human comfort
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      – SubjectFull: Transient analysis
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      – TitleFull: Study on Performance Testing and Evaluation of Adaptive Cruise Control Systems Based on a Self-Constructed Comprehensive Performance Evaluation Index Model.
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            – D: 01
              M: 07
              Text: Jul2026
              Type: published
              Y: 2026
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