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The design and optimization of overlapping phase combination for isolated intersection 4

The design and optimization of overlapping phase combination...

引用

4th International Conference on Transportation Information and Safety, ICTIS 2017

作者： Liang, Zijun Chen, Hong Qin, Chenchen Zhou, Yulin Fang, Wei Chang'An University Xi'an China Key Lab of Urban ITS Technology Optimization and Integration Ministry Hefei China Institute of Intelligent Machines Chinese Academy of Sciences Heifei China

ISBN: (纸本)9781538604373

To reduce the waste of green time as a result of unbalance of non-conflict streams, a method of overlapping phase was introduced. The design and optimization for overlapping phase combination is proposed in the paper. There are two steps of optimization in the process. Firstly to select a best group among the possible phase combination including overlapping phase by calculating the minimal cycle flow ratio of the group, secondly to use the object of minimum total delay based Particle Swarm optimization approach to obtain optimal green time for each phase. The method is applied at the intersection of Xiuning Road and Hezuohua Road in Hefei, China. It shows that the waste of green time is diminished by overlapping phase. The total delay is reduced in large scale. The result was proved by simulation of Vissim and showed the method is effective in upgrading the traffic signal control program. © 2017 IEEE.

关键词： Traffic signals

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A Fast Generation Algorithm of Communication Topology for Three-dimensional Optimally Persistent Formation 33

A Fast Generation Algorithm of Communication Topology for Th...

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第33届中国控制与决策会议

作者： Guoqiang Wang Qianwei Lv Xiaoduo Li Xin Cao He Luo School of Management Hefei University of Technology Key Laboratory of Process Optimization and Intelligent Decision-Making Ministry of Education Engineering Research Center for Intelligent Decision-making & Information Systems Technologies Ministry of Education Key Laboratory of Urban ITS Technology Optimization and Integration Ministry of Public Security of China

ISBN: (纸本)9781665431293

To solve the communication topology generation problem of three-dimensional optimally persistent formation with leader constraint,a fast generation algorithm based on minimum cost arborescence,arc addition and path reverse operation is *** with the existing algorithms,this algorithm has a shorter calculation ***,the simulation results further verify the correctness and effectiveness of the algorithm.

关键词： Communication topology Leader constraint Three-dimensional optimal persistent formation Minimum cost arborescence Arc addition Path reverse operation

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The design and optimization of overlapping phase combination for isolated intersection

The design and optimization of overlapping phase combination...

引用

International Conference on Transportation Information and Safety (ICTIS)

作者： Zijun Liang Hong Chen Chenchen Qin Yulin Zhou Wei Fang Ministry The key Lab of Urban ITS Technology Optimization and Integration Hefei China Chang'an University Xi-an China Institute of Intelligent Machines Chinese Academy of Sciences Heifei China

关键词： Delays optimization Roads Switches Safety

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Euclidean output layer for discriminative feature extraction 2

Euclidean output layer for discriminative feature extraction

引用

2nd International Conference on Image, Vision and Computing, ICIVC 2017

作者： Jiabao, Wang Li, Yang Miao, Zhuang Xu, Yulong Tao, Gang College of Command Information Systems PLA University of Science and Technology Nanjing China Anhui Keli Inform. Industry Co. Ltd. Key Lab of Urban ITS Tech. Optim. and Integration Hefei China

ISBN: (纸本)9781509062379

Recently, visual features extracted by convolutional neural networks (CNNs) have been widely used in computer vision. Most state-of-the-art CNNs adopt a convolutional layer to map the high dimensional features into the number of the output classes. However, it is not good enough for feature similarity comparison. So we propose a new layer, Euclidean output layer, for extracting discriminative features in this paper. Furthermore, we use the joint supervision of the center loss and the softmax loss to construct a discriminative feature learning network. Experiments show that our network has the ability of compacting the distribution of the learned features and achieves better performance for unclose-set identification problems. © 2017 IEEE.

关键词： Feature extraction

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Deep supervised hashing with pairwise bit loss 17

Deep supervised hashing with pairwise bit loss

引用

2017 International Conference on Deep Learning Technologies, ICDLT 2017

作者： Wang, Jiabao Li, Yang Zhang, Xiancai Miao, Zhuang Tao, Gang College of Command Information Systems PLA University of Science and Technology Nanjing210007 China Anhui Keli Inform. Industry Co. Ltd. Key Lab of Urban ITS Tech. Optim. and Integration Hefei230031 China

ISBN: (纸本)9781450352321

Low dimensional binary hashing is the key point in large-scale image retrieval and person re-identification (re-ID). To promote the performance, we explore the possibility of deep supervised hashing using the label information. A pairwise bit loss is proposed to measure the difference between two features extracted from two intra-class images by CNNs. Furthermore, a Siamese network architecture is proposed to conduct deep feature hashing learning by combining the classification loss and the proposed pairwise bit loss. The input of our proposed network has only positive pair, without the negative pair. Experiments show that our method can outperform other methods to achieve the state-of-the-art performance in image retrieval and person re-ID benchmarks. © 2017 Association for Computing Machinery.

关键词： Image retrieval

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Fast Construction Algorithm of Cooperative Relay Network for Unmanned Aerial Vehicle

Fast Construction Algorithm of Cooperative Relay Network for...

引用

第33届中国控制与决策会议

作者： Guoqiang Wang Pengfei Cheng He Luo School of Management Hefei University of Technology Key Laboratory of Process Optimization and Intelligent Decision-Making Ministry of Education Engineering Research Center for Intelligent Decision-making & Information Systems Technologies Ministry of Education Key Laboratory of Urban ITS Technology Optimization and Integration Ministry of Public Security of China

In view of the situation that the relay network needs to be constructed between the combat nodes with communication interruption in battlefield environment,a fast construction algorithm of Unmanned Aerial Vehicle(UAV) cooperative relay network is proposed,which is based on the theory of multiple shortest paths and strategy of giving priority to the relay placement node that is the most difficult to reach for *** with the existing algorithms,this algorithm can further shorten the construction time of UAV cooperative relay network on the premise of minimizing the number of UAVs used for ***,the simulation experiment results demonstrate the effectiveness of the proposed algorithm.

关键词： UAV Relay network Node Placement Multiple shortest paths

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A route travel time distribution prediction method based on Markov chain

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

引用

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

引用

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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A Novel Intrusion Detection System Based on Advanced Naive Bayesian Classification 1st

A Novel Intrusion Detection System Based on Advanced Naive B...

引用

1st International Conference on 5G for Future Wireless Networks, 5GWN 2017

作者： Wang, Yunpeng Li, Yuzhou Tian, Daxin Wang, Congyu Wang, Wenyang Hui, Rong Guo, Peng Zhang, Haijun Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University XueYuan Road No. 37 Beijing100191 China China Automotive Technology and Research Center Automotive Engineering Research Institute East Xianfeng Road No. 68 Tianjin300300 China School of Computer and Communication Engineering University of Science and Technology Beijing XueYuan Road No. 30 Beijing100083 China XueYuan Road No. 37 Beijing100191 China Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Si Pai Lou. 2 Nanjing210096 China Key Lab of Urban ITS Technology Optimization and Integration The Ministry of Public Security of China Hefei230088 China

ISBN: (纸本)9783319728223

Intrusion Detection System is a pattern recognition task whose aim is to detect and report the occurrence of abnormal or unknown network behaviors in a given network system being monitored. In this paper, we propose a machine learning model, advanced Naive Bayesian Classification (NBC-A) which is based on NBC and ReliefF algorithm, to be used in the novel IDS. We use ReliefF algorithm to give every attribute of network behavior in KDD’99 dataset a weight that reflects the relationship between attributes and final class for better classification results. The novel IDS has a higher True Positive (TP) rate and a lower False Positive (FP) rate in detection performance. © 2018, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

关键词： Intrusion detection

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A method of visual management platform for connected vehicles data

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

引用

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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