QIN Yan-yan, WANG Hao, WANG Wei, NI Dai-heng. Review of car-following models of adaptive cruise control[J]. Journal of Traffic and Transportation Engineering, 2017, 17(3): 121-130.
Citation: QIN Yan-yan, WANG Hao, WANG Wei, NI Dai-heng. Review of car-following models of adaptive cruise control[J]. Journal of Traffic and Transportation Engineering, 2017, 17(3): 121-130.

Review of car-following models of adaptive cruise control

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  • Author Bio:

    QIN Yan-yan(1989-), male, doctoral student, +86-25-83792513, qinyanyan@seu.eud.cn

    WANG Hao(1980-), male, professor, PhD, +86-25-83792513, haowang@seu.edu.cn

  • Received Date: 2016-12-23
  • Publish Date: 2017-06-25
  • The car-following models of adaptive cruise control (ACC) and cooperative adaptive cruise control (CACC) of autonomous vehicles were analyzed. From the aspects of system control principle, vehicle-to-vehicle communication technology and vehicle time-gap, the similarities and differences of ACC and CACC vehicles were expounded. The mainstream car-following models ofACC/CACC vehicles at present were divided into 3 categories: the car-following model based on intelligent drive, the car-following model of PATH laboratory of University of California, Berkeley, and the car-following model based on control theory. The modeling ideas of the 3 categories of car-following models were summarized, and their merits and drawbacks were also expounded. Representative achievements about the impacts of ACC/CACC vehicles on traffic flow characteristics were reviewed from 3 aspects of road capacity, traffic safety, and traffic flow stability. Then, the research status of this field was formed. Meanwhile, the future development trend was pointed out. Research result shows that the impacts of different ACC/CACC carfollowing models on road capacity have relatively big difference. ACC/CACC vehicles are helpful to improve traffic safety. However, because the uniform index of safety evaluation is absent, it is difficult to quantitatively evaluate the impacts of ACC/CACC vehicles on traffic safety. Small scale real vehicle tests validate that ACC vehicles have unstable traffic flow characteristics. The tests reject the numerical simulation-based results of ACC vehicles stability. But both numerical simulations and small scale real vehicle tests show that CACC vehicles can improve traffic flow stability well. Therefore, convincing conclusions are unable to be obtained based on computer simulations absolutely. Real vehicle tests are the necessary way of ACC/CACC research. In order to perfect the research of ACC/CACC in this field, the fundamental diagram models of mixed traffic flow with different proportions of ACC/CACC vehicles, the modeling methods for ACC/CACC car-following models in the intelligent and connected environment and the stability analysis methods for ACC/CACC mixed traffic flow should be built.

     

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