کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5011547 | 1462598 | 2017 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Enhanced stability of car-following model upon incorporation of short-term driving memory
ترجمه فارسی عنوان
بهبود پایداری مدل خودرو پس از ترکیب حافظه رانندگی کوتاه مدت
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کلمات کلیدی
مدل خودرو، پیش بینی رفتار، جریان ترافیک، حافظه رانندگی،
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی مکانیک
چکیده انگلیسی
Based on the full velocity difference model, a new car-following model is developed to investigate the effect of short-term driving memory on traffic flow in this paper. Short-term driving memory is introduced as the influence factor of driver's anticipation behavior. The stability condition of the newly developed model is derived and the modified Korteweg-de Vries (mKdV) equation is constructed to describe the traffic behavior near the critical point. Via numerical method, evolution of a small perturbation is investigated firstly. The results show that the improvement of this new car-following model over the previous ones lies in the fact that the new model can improve the traffic stability. Starting and breaking processes of vehicles in the signalized intersection are also investigated. The numerical simulations illustrate that the new model can successfully describe the driver's anticipation behavior, and that the efficiency and safety of the vehicles passing through the signalized intersection are improved by considering short-term driving memory.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Communications in Nonlinear Science and Numerical Simulation - Volume 47, June 2017, Pages 139-150
Journal: Communications in Nonlinear Science and Numerical Simulation - Volume 47, June 2017, Pages 139-150
نویسندگان
Liu Da-Wei, Shi Zhong-Ke, Ai Wen-Huan,