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Comparative study on feature extraction of mass traffic data using multiple methods
所属机构名称:清华大学
会议名称:2009 IEEE Intelligent Vehicles Symposium
成果类型:会议
会场:Xi'an, China
相关项目:新型城市交通无线数据网络拓扑规划及信息协作机制研究
作者:
Wang, Yin|Zhang, Zuo|Hu, Jianming|
同会议论文项目
新型城市交通无线数据网络拓扑规划及信息协作机制研究
期刊论文 14
会议论文 36
同项目会议论文
无线数据网络及其在交通信息采集中的应用
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Feature extraction of urban traffic network data based on Local Tangent Space Alignment
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Traffic flow volume fluctuation analysis using MF-DFA
Detection of urban traffic flow's synchronized oscillations using spectral envelope
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Data reduction in urban traffic sensor network
A simulation study for the communication subsystem of wireless traffic information service
A BPCA based missing value imputing method for traffic flow volume data
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一种适用于嵌入式平台的交通流视频检测方法
Travel Time Estimation Based on Intelligent Vehicle Infrastructure Cooperation System
Extraction of Traffic Status Based on Spatial-Temporal Trajectory Reconstruction
A New Hybrid Method of Genetic Algorithm,Tabu and Chaotic Search For CVRPTW
Departure Headway Distribution Modeling for Ordinary Large Cities Based On Video Information
Modeling and clustering network-level urban traffic status based on traffic flow assignment ratios
Cell-based simulation and estimation of urban traffic network
Calibration of MITSIM and IDM car-following model based on NGSIM trajectory datasets
A distributed shortest-path routing algorithm for transportation systems
A novel method for traffic bottlenecks identification in urban traffic network
Applying Locally Linear Embedding on feature extraction of traffic flow data
Improved GPSR in inter-vehicle communication
Equilibrium Analysis and Comparison for General CTMs and LCTMs
Traffic Pattern Classification Using 3S Data
Urban road network modeling and real-time prediction based on householder transformation and adjacen
Short-term traffic flow forecasting of urban network based on dynamic STARIMA model
Sensor network nodes deployment based on Artificial Potential Functions
Features retrieval of urban traffic flow using PCA
Majority-game based conflict modeling for pedestrians and right-turning vehicles in signalized inter