The key problems of vehicle navigation dynamic path planning are traffic network model, path planning algorithm and traffic flow prediction.
交通网络模型、路径规划算法以及交通流预测是车辆导航动态路径规划需要解决的重点问题。
Designing a new point-line-plane layered method for carrying out traffic status analysis and estimation with regard to the micro-simulation traffic network model.
针对交通微观仿真路网结构模型的层次特点，提出点、线、面分层递阶的分析评价方法。
Based on the principles of the cellular automata, a new improved cellular automata traffic network model which is more near the realistic traffic patterns is presented in this paper.
基于点格自动机的原理，提出一种比较切合实际的改进点格自动机交通网络模型。
A model was developed to estimate the traffic pollutant concentrations along roadside in one step with artificial neural network technique.
利用人工神经网络技术设计了一段式计算路侧道路交通污染物浓度的模型。
Secondly, we have suggested a simplified game theory model for simulating the evolution of the urban public traffic network.
其次，我们建议了一个简单的博弈模型来模拟城市公共交通网络的演化过程。
In this paper we report a recent proposed complex network model which is weighted and driven by traffic flow.
本文报道最近提出的一个交通流驱动的含权复杂网络模型及相关研究工作进展。
A novel online fault detection algorithm based on adaptive auto-regressive (AAR) model is proposed focusing on the anomaly detection of network traffic.
通过研究网络流量异常检测，提出一种新的基于自适应自回归(aar)模型的在线故障检测算法。
Anomaly detection based on network traffic model is one of the important research directions in traffic anomaly detection.
基于网络流量模型的异常检测是流量异常检测的一个重要研究方向。
We review recent progress in the research on weighted complex networks. In particular, we present our recent model of a traffic flow driven weighted technological network.
文章对含权复杂网络研究的最近进展给予了评述，特别报道了文章作者最近提出的一个交通流驱动的含权技术网络模型。
Analysis shows that this model can not only simulate network traffic corresponding to the real network but also detect anomaly traffic to some extent.
分析表明，该模型不仅可以模拟与网络实测数据相似的网络流量，而且具有一定的异常流量发现能力。
Modeling video traffic is an important prerequisite for any network performance simulating, but it is very difficult to build an uniform model for video traffic since video contents are variable.
视频业务流量模型是网络性能仿真的一个重要前置环节，但由于视频内容的千差万别，使得很难建立统一的视频业务流量模型。
Method named BAYESIAN combined neural network model is proposed for short term traffic flow prediction in this paper.
提出一种新的贝叶斯组合神经网络模型并将其应用于短期交通流量的预测。
The experimental results prove that the model is efficient in network traffic prediction with good astringency and stability.
实验结果表明，该模型对网络流量的短期预测是有效可行的，并具有良好的收敛性和稳定性。
The geometric model and computer programming of local highway network plays an important role in traffic estimate, as well as the calculation of shortcut and its reorganization.
区域公路网络结构的几何模型及计算机实现、最短路的计算及其辨识在交通量预测中起着重要的作用。
Equilibrium traffic model is a set of models in which network traffic flow is described by user's equilibrium principle.
交通均衡模型体系是按照用户均衡原则描述网络交通流的模型集合。
According to the city road network capacity restriction, Put forward the optimization model of the traffic target structure, and analyze the meaning of the model.
提出基于城市道路网络容量约束下的交通目标结构优化模型，分析了模型的意义。
To enhance the validity of evaluation, based on ANN(artificial neural network), a comprehensive evaluation model of the safety of road traffic based on BP(back propagation) neural network was built.
为了提高评价的准确性，采用人工神经网络技术，建立了基于BP神经网络的道路交通安全综合评价模型。
By analyzing the freeway macroscopic dynamic traffic flow model, the paper presents a neural network model for traffic flow.
通过对高速公路宏观动态交通流模型的分析，提出了动态交通流的神经网络模型。
A good traffic model must be able to describe network traffic characteristics and predict the practical traffic condition accurately.
好的流量模型必须能够准确描述网络实际流量的特征情况，这样才能准确预测流量状况。
The experimental results show that the performance in the traffic control model is much better than the traditional Besteffort network and is also perfect for future network services.
经过多次实验证实，采用流量控制模型后的网络性能明显优于传统网络模型，而且对于后继的网络需求也能充分适应。
Integrating the merit of wavelet transform with that of artificial neural network, a wavelet neural network (WNN) model for forecasting network traffic was created.
结合小波变换和人工神经网络的优势，建立一种网络流量预测的小波神经网络模型。
We present an discrete users equilibrium (UE) assignment model for dynamic traffic network. This model is a dynamic generalization of UE model for static traffic network assignment.
提出一种离散的动态交通网络用户均衡配流模型，它是静态UE模型的一种推广。
On the basis of macroscopic dynamic traffic flow model which is frequently used in traffic control, Radial basis Function (RBF) neural network is designed.
根据常用的高速公路交通流宏观动态模型，建立了高速公路交通流的RBF神经网络模型。
In this paper, the time - sequence model of traffic flow is based on the improved BP neural network, and this model can be used for short time prediction of traffic flow.
本文采用改进型BP神经网络建立起交通流的时间序列模型，该模型可用于短期内道路交通流量的预测。
MAN (Metropolitan Area Network) traffic has advanced by leaps and bounds, making its characteristics change drastically and requiring its mathematical model to change also accordingly.
随着城域网流量的急剧增长，网络流量的特征发生了很大改变，因而网络流量的数学模型也需要随之改变。
In recently years, wavelet analysis has more and more wide application in network traffic model, and it offers the strong base for using network source efficiently.
近年来，小波分析理论在网络业务模型中的应用越来越广泛，它为更有效的利用网络资源提供了坚实的理论基础。
The article applies the Markov network theory to build the elevator traffic model. Based on the model elevator configuration parameters of the serving stations are calculated.
利用马尔可夫网络排队理论建立了电梯交通模型，在此基础上对各服务站的电梯配置交通进行计算，得到电梯的配置参数。
On the condition that the stochastic equilibrium restraints are satisfied as the network clients select the path, the author presents bilevel planning model for traffic network design.
在考虑网络中用户的路径选择行为满足概率型随机平衡的条件下，给出了交通网络设计的双层规划模型，同时设计了基于差分的启发式求解算法。
A model for urban road network traffic congestion forecast based on probe vehicle technology, fuzzy logic judgement and back-propagation (BP) neural network was proposed.
提出了一种新的基于移动检测技术、神经网络和模糊判断方法的城市路网动态交通拥挤预测模型。
A model for urban road network traffic congestion forecast based on probe vehicle technology, fuzzy logic judgement and back-propagation (BP) neural network was proposed.
提出了一种新的基于移动检测技术、神经网络和模糊判断方法的城市路网动态交通拥挤预测模型。
应用推荐