With the development of intelligent and interconnected traffic system,a convergence of traffic stream is anticipated in the foreseeable future,where both connected automated vehicle(CAV)and human driven vehicle(HDV)wi...With the development of intelligent and interconnected traffic system,a convergence of traffic stream is anticipated in the foreseeable future,where both connected automated vehicle(CAV)and human driven vehicle(HDV)will coexist.In order to examine the effect of CAV on the overall stability and energy consumption of such a heterogeneous traffic system,we first take into account the interrelated perception of distance and speed by CAV to establish a macroscopic dynamic model through utilizing the full velocity difference(FVD)model.Subsequently,adopting the linear stability theory,we propose the linear stability condition for the model through using the small perturbation method,and the validity of the heterogeneous model is verified by comparing with the FVD model.Through nonlinear theoretical analysis,we further derive the KdV-Burgers equation,which captures the propagation characteristics of traffic density waves.Finally,by numerical simulation experiments through utilizing a macroscopic model of heterogeneous traffic flow,the effect of CAV permeability on the stability of density wave in heterogeneous traffic flow and the energy consumption of the traffic system is investigated.Subsequent analysis reveals emergent traffic phenomena.The experimental findings demonstrate that as CAV permeability increases,the ability to dampen the propagation of fluctuations in heterogeneous traffic flow gradually intensifies when giving system perturbation,leading to enhanced stability of the traffic system.Furthermore,higher initial traffic density renders the traffic system more susceptible to congestion,resulting in local clustering effect and stop-and-go traffic phenomenon.Remarkably,the total energy consumption of the heterogeneous traffic system exhibits a gradual decline with CAV permeability increasing.Further evidence has demonstrated the positive influence of CAV on heterogeneous traffic flow.This research contributes to providing theoretical guidance for future CAV applications,aiming to enhance urban road traffic effi展开更多
传统的电力数据通信网络存在手工运维效率低下、网络资源利用不均衡、业务缺乏质量保障等问题,越来越不能满足当今新型电力业务的需求。随着电网数字化转型的不断深入,针对此类问题,以电力数据通信网络优化和升级为研究方向,提出新型电...传统的电力数据通信网络存在手工运维效率低下、网络资源利用不均衡、业务缺乏质量保障等问题,越来越不能满足当今新型电力业务的需求。随着电网数字化转型的不断深入,针对此类问题,以电力数据通信网络优化和升级为研究方向,提出新型电力数据通信网络体系与电力SDN-WAN(Software Defined Network-Wide Area Network)数据通信网络态势感知模型,并结合现网实际部署情况选取典型案例,对SDN-WAN态势感知各项功能部署及应用过程中存在的优势和不足进行阐述,也为“十四五”时期电力数据通信网络的发展提供了参考。展开更多
基金Project supported by the Fundamental Research Funds for Central Universities,China(Grant No.2022YJS065)the National Natural Science Foundation of China(Grant Nos.72288101 and 72371019).
文摘With the development of intelligent and interconnected traffic system,a convergence of traffic stream is anticipated in the foreseeable future,where both connected automated vehicle(CAV)and human driven vehicle(HDV)will coexist.In order to examine the effect of CAV on the overall stability and energy consumption of such a heterogeneous traffic system,we first take into account the interrelated perception of distance and speed by CAV to establish a macroscopic dynamic model through utilizing the full velocity difference(FVD)model.Subsequently,adopting the linear stability theory,we propose the linear stability condition for the model through using the small perturbation method,and the validity of the heterogeneous model is verified by comparing with the FVD model.Through nonlinear theoretical analysis,we further derive the KdV-Burgers equation,which captures the propagation characteristics of traffic density waves.Finally,by numerical simulation experiments through utilizing a macroscopic model of heterogeneous traffic flow,the effect of CAV permeability on the stability of density wave in heterogeneous traffic flow and the energy consumption of the traffic system is investigated.Subsequent analysis reveals emergent traffic phenomena.The experimental findings demonstrate that as CAV permeability increases,the ability to dampen the propagation of fluctuations in heterogeneous traffic flow gradually intensifies when giving system perturbation,leading to enhanced stability of the traffic system.Furthermore,higher initial traffic density renders the traffic system more susceptible to congestion,resulting in local clustering effect and stop-and-go traffic phenomenon.Remarkably,the total energy consumption of the heterogeneous traffic system exhibits a gradual decline with CAV permeability increasing.Further evidence has demonstrated the positive influence of CAV on heterogeneous traffic flow.This research contributes to providing theoretical guidance for future CAV applications,aiming to enhance urban road traffic effi
文摘传统的电力数据通信网络存在手工运维效率低下、网络资源利用不均衡、业务缺乏质量保障等问题,越来越不能满足当今新型电力业务的需求。随着电网数字化转型的不断深入,针对此类问题,以电力数据通信网络优化和升级为研究方向,提出新型电力数据通信网络体系与电力SDN-WAN(Software Defined Network-Wide Area Network)数据通信网络态势感知模型,并结合现网实际部署情况选取典型案例,对SDN-WAN态势感知各项功能部署及应用过程中存在的优势和不足进行阐述,也为“十四五”时期电力数据通信网络的发展提供了参考。
