Abstract
This study proposes a new car-following model considering the effect of electronic throttle opening angle to capture the characteristics of connected autonomous vehicular traffic flow. The proposed model incorporates the opening angle of electronic throttle into the full velocity difference (FVD) model by assuming that the information of electronic throttle dynamics is shared by vehicles through vehicle-to-vehicle communications. The stability condition of the proposed car-following model is obtained using the perturbation method. Numerical experiments are constructed on three scenarios, start, stop, and evolution processes, to analyze the vehicular traffic flow characteristics of the proposed model. The results of numerical experiments illustrate that the proposed car-following model has a larger stable region compared with FVD model. Also, it demonstrates that the proposed car-following model can better present the characteristics of connected and autonomous vehicular flow in terms of the smoothness and stability with respect to the space headway, position, velocity, and acceleration/deceleration profiles.
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Acknowledgments
The authors acknowledge the support from the project by the National Natural Science Foundation of China (Grant No. 61304197), the Scientific and Technological Talents of Chongqing (Grant No. cstc2014kjrc-qnrc30002), the Key Project of Application and Development of Chongqing (Grant No. cstc2014yykfB40001), “151” Science and Technology Major Project of Chongqing -General Design and Innovative Capability of Full Information based Traffic Guidance and Control System (Grant No. cstc2013jcsf-zdzxqqX0003), the Doctoral Start-up Funds of Chongqing University of Posts and Telecommunications, China (Grant No. A2012-26), and the US Department of Transportation through the NEXTRANS Center, the USDOT Region 5 University Transportation Center.
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Li, Y., Zhang, L., Peeta, S. et al. A car-following model considering the effect of electronic throttle opening angle under connected environment. Nonlinear Dyn 85, 2115–2125 (2016). https://doi.org/10.1007/s11071-016-2817-y
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DOI: https://doi.org/10.1007/s11071-016-2817-y