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41.
无碰撞区准同步跳频通信系统多址干扰性能分析 总被引:2,自引:0,他引:2
基于跳频通信边缘效应的多址干扰性能分析模型,即四碰撞态Markov过程模型,本文分析了基于新型无碰撞区(NHZ)跳频序列的准同步跳频通信系统用户干扰性能。当准同步跳频系统组网时工作在NHZ跳频序列集的无碰撞区内时,用户的载波频率表现为无碰撞状态;而在无碰撞区边缘的碰撞状态则可视具体情况分为无碰撞或左碰撞或右碰撞状态;对于无碰撞区外的碰撞状态则为无碰撞或左碰撞或右碰撞或左右都碰撞的状态。据此本文分析了无碰撞区准同步跳频通信系统的载波频率碰撞状态序列的特性,并提出适合无碰撞区准同步跳频通信系统的用户干扰性能分析模型。分析和数值结果表明,采用NHZ跳频码的准同步跳频通信系统的多址干扰性能优于采用随机跳频码的异步通信系统。 相似文献
42.
采用国内研制的高速列车通过隧道时压力波计算程序,模拟了特定隧道条件下CRH3动车组单车隧道压力波的基本特性,给出了隧道内、车头车尾处的压力波分布情况,以及对应车内处3 s内最大压差值等随车速变化的规律。同时,比较了动车组在德国和我国隧道条件下压力波的异同点。 相似文献
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针对我国机动车与非机动车混合行驶、相互干扰的混合交通机制,把机动车和非机动车的相互影响因素考虑到交通阻抗函数中,在此基础上,建立混合交通UE分配模型及其算法。最后,将该算法运用到云南省保山市隆阳区的局部路网中。 相似文献
44.
随着中国新基建战略的提出及自动驾驶和网联通信技术的不断发展,网联自动驾驶车辆(CAV)、自动驾驶车辆(AV)和常规人驾车辆混行的交通流将在未来长时间存在。建立适用于网联自动驾驶车辆、自动驾驶车辆和常规人驾车辆3种类型车辆的混流跟驰模型,考虑多前后车车头间距、多前车速度差、加速度差、与主体车辆的相对距离等因素,并进行典型场景的数值仿真。刹车和起步过程的3种混流数值仿真结果显示,模型在几种典型混行场景下均具有可行性,车辆的加速度和速度变化更为平缓。不同CAV比例下的数值仿真结果显示,车队中CAV比例越高,车队整体恢复至平稳状态的时间越短,波动幅度越小。CAV均质流数值仿真结果表明,与MHVAD模型相比,该模型不稳定区域减小33.8%,所控制的车队速度波动幅度减小14%。CAV与AV混流的数值仿真结果显示,与PATH实验室模型相比,由该模型控制的车队加速度进入相对稳定状态提前5.5 s。该模型可用于不同车辆均质流及3种车辆混行的队列控制,在目前开展混行实车试验困难的情况下,也可应用该模型进行混行跟驰仿真,从而为混行交通流的道路交通管理及基础设施布设提供理论依据和模型支持。 相似文献
45.
Ananya CHAKRABORTY M. CHAKRABORTY 《Journal of Transportation Systems Engineering and Information Technology》2010,10(6):53-63
In real world applications the supply, the demand and the transportation cost per unit of the quantities in a transportation problem are hardly specified precisely because of the changing economic and environmental conditions. It is also important that the time required for transportation should be minimum. In this paper a method has been proposed for the minimization of transportation cost as well as time of transportation when the demand, supply and transportation cost per unit of the quantities are fuzzy. The problem is modeled as multi objective linear programming problem with imprecise parameters. Fuzzy parametric programming has been used to handle impreciseness and the resulting multi objective problem has been solved by prioritized goal programming approach. A case study has been made using the proposed approach. 相似文献
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49.
Terry L. Friesz Taeil Kim Changhyun Kwon Matthew A. Rigdon 《Transportation Research Part B: Methodological》2011,45(1):176-207
In this paper we present a dual-time-scale formulation of dynamic user equilibrium (DUE) with demand evolution. Our formulation belongs to the problem class that Pang and Stewart (2008) refer to as differential variational inequalities. It combines the within-day time scale for which route and departure time choices fluctuate in continuous time with the day-to-day time scale for which demand evolves in discrete time steps. Our formulation is consistent with the often told story that drivers adjust their travel demands at the end of every day based on their congestion experience during one or more previous days. We show that analysis of the within-day assignment model is tremendously simplified by expressing dynamic user equilibrium as a differential variational inequality. We also show there is a class of day-to-day demand growth models that allow the dual-time-scale formulation to be decomposed by time-stepping to yield a sequence of continuous time, single-day, dynamic user equilibrium problems. To solve the single-day DUE problems arising during time-stepping, it is necessary to repeatedly solve a dynamic network loading problem. We observe that the network loading phase of DUE computation generally constitutes a differential algebraic equation (DAE) system, and we show that the DAE system for network loading based on the link delay model (LDM) of Friesz et al. (1993) may be approximated by a system of ordinary differential equations (ODEs). That system of ODEs, as we demonstrate, may be efficiently solved using traditional numerical methods for such problems. To compute an actual dynamic user equilibrium, we introduce a continuous time fixed-point algorithm and prove its convergence for effective path delay operators that allow a limited type of nonmonotone path delay. We show that our DUE algorithm is compatible with network loading based on the LDM and the cell transmission model (CTM) due to Daganzo (1995). We provide a numerical example based on the much studied Sioux Falls network. 相似文献
50.
随着p2p VoD业务的快速增长,用户行为对整个系统性能的影响也越来越明显.掌握用户行为特点对提高p2p网络带宽利用率、优化资源替代算法、调整服务器带宽分配策略等一系列问题有重要的指导意义.本文通过分析实测VoD系统中的用户日志数据,建立了数学模型描述用户观看行为.仿真结果表明,该模型能够较为准确的反映用户行为的统计特征,较为全面地刻画出整个VoD系统中用户行为的基本规律,为进一步研究VoD系统的服务性能提供了理论依据. 相似文献