交通流预测,traffic flow forecasting
1)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。
英文短句/例句
1.The Study on A Forecasting System for Short-term Traffic Flow in ITS;智能交通系统中短时交通流预测系统的研究
2.Research on Short-time Traffic Flow Forecasting for Urban Traffic Control面向城市交通控制的短时交通流预测方法研究
3.Research on Traffic Flow Prediction Based on Grey Prediction Model基于灰色预测模型的短期交通流预测研究
4.Study on PSO-PLS Combined Forecasting Model for Short-term Traffic Flow Forecasting短时交通流预测的PSO-PLS组合预测模型研究
5.The Optimal Combination Forecast Method and Its Application in the Short-term Traffic Flow Prediction最优组合预测及其在短时交通流预测中的应用
6.Study on Forecasting of Short-term Traffic Flow Based on Fractal Theory;基于分形理论的短时交通流预测研究
7.Prediction of the Short Traffic Flow and Visuliazation Based Matlab;基于Matlab的短时交通流预测分析及实现
8.The Application of LS-SVM to the Prediction of the Elevator Transportation Flow;LS-SVM在电梯交通流预测中的应用
9.Traffic Flow Prediction and Bi-level Programming Model for Estimating Origin Destination交通流预测与OD估计双层规划模型
10.Method for estimating network structure of short-term traffic flow forecasting model短时交通流预测模型的网络结构估计
11.Genetic Algorithms and BP Neural Networks Used in Traffic Flow Forecasting遗传—神经网络在交通流预测中的应用
12.Research of Urban Traffic Flow Forecasting Based on Neural Network基于神经网络的城市交通流预测研究
13.Strategies and Scenarios for Rail Transit Passenger Forecasting: taking Guangzhou as an example轨道交通客流预测的“略”与“术”——以广州市轨道交通客流预测为例
14.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
15.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
16.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
17.Study on Urban Railway Mode Choice Concerning Accessibility Condition;城市轨道交通衔接客流预测方法研究
18.Study on Potential Demand of Urban Rail Transit in France and in China;中法两国城市轨道交通客流预测研究
相关短句/例句
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。
3)traffic flow forecast交通流预测
1.Study oftraffic flow forecast algorithms based on chaotic wavelet networks;基于混沌小波网络的交通流预测算法研究
2.Research on Grid Load Balancing of Traffic Flow Forecast;交通流预测网格负载平衡研究
3.For improvingtraffic flow forecast precision,a forecasting method that combines nonlinear regression support vector machine(SVM) with principal component analysis(PCA) was proposed.为提高交通流预测的预测精度和预测速度,提出了用非线性回归支持向量机与主成分分析相结合进行交通流预测的方法。
4)forecasting traffic flow交通流预测
5)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。
6)short-term traffic flow短时交通流预测
1.An Analysis and Discussion on Short-Term Traffic Flow Forecasting;短时交通流预测模型的分析与评价
2.Short-term traffic flow is one of the core technology to realize traffic flow guidance.短时交通流预测是实现交通流诱导的关键技术之一。
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。
