交通流量预测,traffic flow prediction
1)traffic flow prediction交通流量预测
1.Short-termtraffic flow prediction method based on SVM;基于支持向量机方法的短时交通流量预测方法
2.The paper discusses and researches several methods oftraffic flow prediction in the history at home and abroad considering the feature of traffic flow.公路交通流量预测的主要内容是依据主要道路交叉路口和断面的交通流量信息,利用适当的方法进行实时动态预测,为给出行者提供最佳行驶路线、为均衡交通流、优化交通管理方案、改进交通控制等方面提供基础性依据。
英文短句/例句
1.New Combined Forecasting Model Applied in Air Traffic Flow Forecast新型组合预测模型在空中交通流量预测的应用
2.Short-term Traffic Flow Forecasting Based on Nonparametric Regression;基于非参数回归的短时交通流量预测
3.Design of the ARMA Traffic Flow Forecasting Controller基于ARMA交通流量预测控制器的设计
4.Study on Traffic Flow Forecast Model Based on Neural Network;基于人工神经网络交通流量预测模型的研究
5.Based on System Science Theory to Traffic Flow Forecast Research Technique基于系统科学理论对交通流量预测的研究方法
6.Neural network short-term traffic flow forecasting model based on particle swarm optimization基于粒子群优化的神经网络短时交通流量预测
7.RBF Neural Network Traffic Flow Forecast Based on S-function Pre-processing基于S型函数预处理的RBF神经网络交通流量预测
8.Research of the Prediction Model of Traffic Flow Based on Lsvr;基于Lagrange支持向量回归机交通流量预测模型的研究
9.A Study on Distribution Forecasting of Large Capacity Airport Rail to Landside Traffic;大容量机场轨道交通对陆侧交通的分流预测
10.Traffic Volume Forecast in the Merging Area of Urban Expressway Interchange城市快速路互通立交合流区交通量预测
11.Chaotic Analysis and Prediction for Traffic Flow交通流量的混沌特性分析及预测研究
12.The Calculate of Comprehensive Transportation Logistics Quantity Need and Strategy Research综合交通物流量需求预测和策略研究
13.Traffic Flow Difference Value Forecast Model Based on ELMAN Network基于ELMAN网络的交通流量差值预测模型
14.Chaotic Analysis and Prediction for Traffic Flow Time Series;交通流量时间序列混沌特性分析及预测研究
15.Passenger Flow and Ticket Price Adjustment of Shanghai Pearl Line (Phase Ⅱ);上海轨道交通4号线预测客流量和票价的调整
16.Study on the Prediction of Freight Traffic Volume in Port Container Logistics Park港口集装箱物流园区货运交通量预测研究
17.Research on FIR Neural Network Traffic Flow Model and Prediction交通流量FIRTF神经网络模型及其预测研究
18.Research on support vector machine-used traffic flow patterns prediction methods应用支持向量机的交通流状态预测方法研究
相关短句/例句
Traffic Flow Forecasting交通流量预测
1.The traffic flow forecasting model based on neural network has been applied widely in ITS because of its high forecasting accuracy and self-learning ability.在众多的交通流量预测方法中,基于神经网络的交通流量预测模型由于其预测精度高且具有自学习能力而被广泛应用于智能交通系统中。
2.On the basis of analyzing dynamic traffic flow in urban road tunnel, this paper puts forward the dynamic neural network model of the traffic flow forecasting in urban road tunnel, the mode based on the Elman network, with functions of the state memory, time series model established by Elman network is a autoregressive moving average model.在对城市公路隧道动态交通流分析的基础上,提出了城市公路隧道交通流量预测的动态神经网络模型,该模型基于Elman网络,具有状态记忆的功能,用Elman网络建立的时间序列模型是一个自回归滑动平均模型。
3.Research of Generalized Neural Network and Its Application inTraffic Flow Forecasting;交通流量是城市道路交通状况的一种重要信息,因此交通流量预测具有重要的现实意义。
3)traffic-flow prediction交通流量预测
1.In this paper, an effective method of dynamictraffic-flow prediction based on dependency analysis of urban intersections traffic-flow, is proposed to researc h on relations of the varying traffic-flow.利用主成分分析方法对路网中各路口的交通流量进行了相关性分析 ,构建了相关路口集 ,提出了根据相关路口集的交通流量预测本路口流量的思想 ,给出了用于预测的神经网络模型、具体算法和评价标准。
4)forecasting traffic flow交通流预测
5)traffic flow prediction交通流预测
1.Research of generalized neural network and it′s application totraffic flow prediction;广义神经网络的研究及其在交通流预测中的应用
2.The Research of the Application of GABP Neural Network in Traffic Flow PredictionGABP神经网络在交通流预测中的应用研究
3.Based on the character of thetraffic flow prediction,a GA-WNN model is given based on the wavelet neural network with genetic algorithm.城市交通流的运行存在着高度的复杂性、时变性和随机性,实时准确的交通流预测是智能交通系统,特别是先进的交通管理系统与先进的出行者信息系统研究的关键。
6)traffic flow forecasting交通流预测
1.Traffic Flow Forecasting Method Based on Wavelet Non-parametric Regression Algorithms;非参数小波算法的交通流预测方法
2.Research on short timetraffic flow forecasting method;短时交通流预测方法研究
3.A method (TDFNM) for real-time rollingtraffic flow forecasting was proposed.将神经网络与Markov链理论应用于随机波动的交通流预测,提出一种交通流实时滚动预测方法TDFNM。
延伸阅读
城市交通预测根据规划期末城市的人口和用地规模、土地使用状况和社会、经济发展水平等因素，对客、货运输的发展趋势、交通方式的构成、道路的交通量等进行定性和定量的分析估算。
