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检索条件"机构=Key Laboratory for ITS System Integration and Optimization"

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Tunnel moving target detection based on local structure of image and gray scale information

Tunnel moving target detection based on local structure of i...

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IEEE International Conference on Intelligent Transportation Engineering (ICITE)

作者： Haiyang Yu Yawen Hu Hongyu Guo Lin Fang People's Republic of China Key Laboratory of Urban ITS Technology Optimization and Integration Ministry of Public Security Hefei China School of Transportation Science and Engineering Beihang University Beijing China Infrastructure Systems and Safety Control Beihang University Beijing China Information Industry Co. Ltd. Beijing China

ISBN: (纸本)9781467390491

Tunnel moving target detection is subject to the influence of light condition and motion blur, the traditional motion detection method based on pixel points can not be very good at segmenting moving target. To solve this problem, frame difference detection method based on local structure of image and gray level information is proposed. The local mean difference information of the image is calculated by the improved algorithm, and then the similarity measure function and the gray scale measure function are constructed. The similarity measure function effectively describes the structural features of moving objects, and reduces the influence of image background information. The gray scale function is better to highlight the contrast of the target brightness, to increase the division of the target area and the background parts, and to realize the moving target detection correctly. The experimental results show that the detection method of the fusion structure and the gray level information can effectively segment the moving object.

关键词： Image segmentation Object detection Brightness Electronic mail Motion segmentation Lighting Transportation

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A route travel time distribution prediction method based on Markov chain

A route travel time distribution prediction method based on ...

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IEEE International Smart Cities Conference (ISC2)

作者： Daxin Tian Yong Yuan Haiying Xia Fengtian Cai Yunpeng Wang Jiajie Wang Key Lab of Urban ITS Technology Optimization and Integration The Ministry of Public Security of China Hefei China Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control Beihang University Beijing China Research Institute of Highway Ministry Transport Beijing China

Predicting the travel time in real time is challenging due to dynamic changes of the traffic. With the help of GPS, wireless mobile communication, and big data technologies, several link travel time distribution capturing algorithms have emerged to generate the prediction of the route travel time distribution in short term. In this paper, we propose a data fusion model which can combine the historical and real time distribution to predict the link level travel time distribution. In the model, the route is represented with Markov chain, where the Markov state is identified by the travel time of probe vehicles. Experimental results prove that the proposed method has high accuracy in predicting route travel time distribution, and it is robust in spite of the fluctuation of real-time data.

关键词： Decision support systems

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A Modified Asynchronous PSO Algorithm

A Modified Asynchronous PSO Algorithm

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Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing, UIC-ATC

作者： Daxin Tian Junjie Hu Haiying Xia He Liu The Ministry of Public Security of China Key Lab of Urban ITS Technology Optimization and Integration Hefei Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control Beihang University Beijing China Research Institute of Highway Ministry Transport Beijing China Department of CPLA The Quartermaster Equipment Institute of the General Logistics Beijing China

ISBN: (纸本)9781467372121

To analyze the convergence of PSO algorithm, a method based on two order constant coefficient recursive method is proposed in this paper. A new way to modify PSO and APSO algorithm achieved by adjusting the progress of algorithm is also proposed, thus forming MPSO and MAPSO algorithm, and this paper also presents Auto-regulative PSO algorithm which can automatically adjust parameters in the iterations. Ten basic functions are used for experiments to study the performance of the algorithms, and the results of experiments prove that Auto-regulative PSO algorithm and MAPSO are superior to MPSO and APSO respectively.

关键词： particle swarm optimisation iterative methods iterative methods Particle swarm optimization parametric subharmonic oscillator Methylprednisolone Suleptanate algorithms

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Optimizing RSUs Network against Cascading Failure

Optimizing RSUs Network against Cascading Failure

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Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing, UIC-ATC

作者： Wenzhong Tang Xiongyu Shan Daxin Tian Zhengguo Sheng Haiying Xia Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control Beihang University Beijing China The Ministry of Public Security of China ITS Technology Optimization and Integration Hefei China Department of Engineering and Design The University of Sussex Richmond UK Research Institute of Highway Ministry Transport Beijing China

ISBN: (纸本)9781467372121

Nowadays, with the development of the vehicular ad hoc network, the reliability and stability of the communication network between RSUs has become a critical issue. So in the case of cascading failure, what topological structure can generate a relatively robust network with a relatively low cost? In this paper, we take advantage of a cascading failure model to simulate the cascading failure process of the network, at the same time, we make use of an evolution algorithm to evolve the network. Thus can obtain the network with relatively best comprehensive properties. Then take advantage of the statistical characteristics to analyze the topological structure of the network. The analysis shows that, the high clustering, high assortativity and the relatively large average shortest path length are all beneficial to improve the comprehensive properties of the network, while the network with good comprehensive properties also has a relatively homogeneous degree distribution.

关键词： Power system faults Power system protection Complex networks Communication networks Vehicles Vehicular ad hoc networks Load modeling

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An Evaluation Model for Epidemic Routing in VANETs

An Evaluation Model for Epidemic Routing in VANETs

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Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing, UIC-ATC

作者： Daxin Tian Yue Yang Haiying Xia Guohui Zhang Ministry of Public Security of China Key Lab of Urban ITS Technology Optimization and Integration Hefei China Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems and Safety Control Beihang University Beijing China Research Institute of Highway Ministry Transport Beijing China School of Information Engineering Academy of Armored Forces Engineering Beijing China

ISBN: (纸本)9781467372121

Epidemic routing has emerged as a promising candidate for providing message dissemination method in vehicular ad hoc networks. In this paper, we present a novel model to evaluate the capacity of epidemic routing in vehicular networks with considering the traffic signal control as a significant factor in urban area. Our study reveal that epidemic routing can behave differently in various traffic signal control situations where messages can be forwarded by vehicles passing through the intersections from other directions. The simulation results prove the accuracy of the model.

关键词： Roads Vehicles Delays Routing Turning Simulation Dynamic programming

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A method of visual management platform for connected vehicles data

A method of visual management platform for connected vehicle...

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International Conference on Connected Vehicles and Expo (ICCVE)

作者： Yunpeng Wang Yuzhou Li Daxin Tian Jian Wang Jiajie Wang School of Information Engineering Academy of Armored Forces Engineering Beijing China Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems & Safety Control Beihang University Beijing China Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Nanjing China Key Lab. of Urban ITS Technology Optimization and Integration Ministry of Public Security of China Hefei China

At present, the collection of connected vehicles data is not a problem any more but the platform and visualization are the most needed for traffic data. Management of the collected data, platform operation, and visualization technology are the topics of this paper. Through using the new ECharts data visualization tool, we could achieve large data in real-time display with an ordinary WEB browser.

关键词： Data visualization Big data Vehicles Databases Connected vehicles Market research

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A freeway travel time predicting method based on IoV

A freeway travel time predicting method based on IoV

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IEEE World Forum on Internet of Things (WF-IoT)

作者： Daxin Tian Chao Liu Yunpeng Wang Guohui Zhang Haiying Xia Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Nanjing China Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems & Safety Control Beihang University Beijing China Ministry of Public Security of China Key Lab of Urban ITS Technology Optimization and Integration Hefei China Academy of Armored Forces Engineering School of Information Engineering Beijing China Research Institute of Highway Ministry Transport Beijing China

ISBN: (纸本)9781509003679

Real-time travel time is one of the important value for traffic management and traffic control. With the help of Internet of Vehicles (IOV), the dynamic traffic information can be collected and distributed more correctly. In this paper, we propose a method to predict the remaining travel time (RTT) for a vehicle on the freeway in the IOV environment. The Markov chains are adopted to predict a vehicle's remaining travel time in real-time. The experimental results prove that the mean absolute percent error (MAPE) is less than 10%.

关键词： Vehicles Traffic control Intelligent vehicles Markov processes Computational modeling Cloud computing

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A new method to improve temporal resolution of remote sensing imaging

A new method to improve temporal resolution of remote sensin...

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International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE)

作者： Huabo Sun Lei Yan Shuwei Li Institute of Remote Sensing and Geographical Information System Beijing key Laboratory of spatial information integration and its applications Peking University Beijing China

High-Resolution has become the vital trend of remote sensing imaging, but there are few researches on high temporal resolution at present. We illustrate the importance of high temporal resolution and propose a new method to improve it. Combining with different scene, we analyze the track of moving object and solve motion parameters of target, then construct high temporal resolution series images. Experiment shows that our models can effectively improve temporal resolution.

关键词： Cameras Spatial resolution Remote sensing Analytical models Trajectory

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Robust blind beamforming algorithm via the oblique projection method

Robust blind beamforming algorithm via the oblique projectio...

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11th International Symposium on Communications and Information Technologies, ISCIT 2011

作者： Song, Xin Wang, Jinkuan Li, Qiuming Ren, Jingguo Wang, Han Engineering Optimization and Smart Antenna Institute Northeastern University Qinhuangdao 066004 China Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing 100190 China National Engineering Laboratory for High Speed Train System Integration CSR Qingdao Sifang Locomotive and Rolling Stock Co. Ltd. Qingdao 266111 China

ISBN: (纸本)9781457712944

A novel robust least squares constant modulus algorithm (LSCMA) is proposed for blind adaptive beamforming, which is based on explicit modeling of uncertainty in the desired signal array. To improve robustness, the weight vector is optimized to involve minimization of cost function, while imposing the oblique projection constraint on the weight vector and maintaining a distortionless response for the worst-case signal steering vector. The proposed algorithm appears to be an appealing technique for blind adaptive beamforming that combines excellent robustness with low computational complexity. The numerical experiments have been carried out to demonstrate the superiority of the proposed algorithm on beampattern control and output SINR enhancement. © 2011 IEEE.

关键词： Cost functions

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Robust blind beamforming algorithm via the oblique projection method

Robust blind beamforming algorithm via the oblique projectio...

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International Symposium on Communications and Information Technologies (ISCIT)

作者： Xin Song Jinkuan Wang Qiuming Li Jingguo Ren Han Wang Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences (CAS) Beijing China Engineering Optimization and Smart Antenna Institute Northeastern University at Qinhuangdao China National Engineering Laboratory for high Speed Train System Integration CSR Qingdao Sifang Locomotive & Rolling Stock Company Limited Qingdao China

关键词： Robustness Vectors Interference Arrays Signal to noise ratio Array signal processing Signal processing algorithms

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