Microscopic Modeling Of Electric Vehicles Traffic Flow By Considering The Vehicle Dynamics

With the development of social economy,electric vehicle(EV)has gradually become a means of transportation.To a certain extent,EVs can alleviate the problem of the energy consumption and environmental pollution.However,avoiding traffic congestion and improving traffic efficiency are still the key to traffic management.Therefore,it is an urgent problem how to recognize the electric traffic flow accurately and alleviate or even avoid traffic congestion effectively under the guidance of scientific methods.In this context,this thesis uses advanced technology such as vehicle-to-vehicle/vehicle-to-infrastructure(V2V/V2I)communication to study the modeling of traffic flow under connected environment,and analyze the stability and dynamic characteristics of the model.This study provides theoretical basis for alleviating traffic congestion and improving traffic efficiency.The particular work of this thesis includes the following three aspects:(1)Regarding the microscopic modeling of electric traffic flow in connected environment,a new car-following model for electric traffic flow is proposed by considering vehicle dynamicsFirstly,the optimal velocity(OV)model and full velocity difference(FVD)model are analyzed to illustrate the modeling method and the factors of influencing the traffic flow.Secondly,this thesis deduces the linear and nonlinear stability of the model based on the small perturbation method and the reductive perturbation method,to obtain stable region and unstable kink-antikink wave of the model.Finally,electric car-following model is proposed by considering the electric vehicle dynamics.(2)Regarding the proposed car-following model,the stability of the model is analyzed based on the small perturbation method and the reductive perturbation methodFirstly,the linear stability of the proposed car-following model is analyzed by the small perturbation method,to obtain the stability condition.MATLAB-based simulated numerical experiments indicate that the stable region of the proposed model is larger than that of FVD model which means it has better stability.Secondly,the nonlinear stability of the proposed car-following model is conducted using the reductive perturbation method to obtain kink-antikink wave under unstable state,to illustrate the phenomenon of the traffic congestion.Finally,MATLAB-based simulated numerical experiments are conducted in start,stop and evolution processes.The results of experiments indicate that the proposed car-following model has better performance.(3)Regarding the proposed car-following model,an experimental platform under connected environment is constructed to verify the characteristics of electric traffic flowTo further verify the characteristics electric traffic flow,an experimental platform is constructed by on-board unit(OBU)and roadside unit(RSU)based on V2V/V2 I communication technology,differential global positioning system(GPS)technology and embedded Linux technology.On the real-road environment,the vehicle interconnection,algorithm loading and recommendation information transmission are realized by experimental platform.By OBU-equipped EV,the field experiment of the electric car-following model is conducted on the experimental road to verify the characteristics of traffic flow.