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检索条件"机构=Key Laboratory of Dependable Service Computing in Cyber"

共 357 条记录，以下是171-180 订阅

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An Extended FVD Model Considering Road Radians and Gradients 29

An Extended FVD Model Considering Road Radians and Gradients

引用

第29届中国控制与决策会议

作者： Sun Dihua Wang Xuanjin Zhao Min Li Huamin Cheng Senlin College of Automation Chongqing University Key Laboratory of Dependable Service Computing in Cyber Physical Society of Ministry of Education Chongqing University

ISBN: (纸本)9781509046584

The microscopic car following model can depict the interaction between adjacent vehicles,but the existing studies rarely consider the effect of complex road conditions on the *** on the FVD model,an extended car following model with the consideration of the road radians and gradients is proposed in this *** linear stability condition is obtained by applying the linear stability *** in different scenarios are carried out by VISSIM to evaluate the model *** show that the extended FVD model can accurately reflect the driving behavior under real road conditions.

关键词： Car Following Model FVD Model Road Radians Road Gradients VISSIM

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Bus Penetration Rate Estimation of Road Segment Using Bus GPS Data

Bus Penetration Rate Estimation of Road Segment Using Bus GP...

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第30届中国控制与决策会议

作者： Dihua Sun Qiuqu Chen Min Zhao Linjiang Zheng Weining Liu Key Laboratory of Dependable Service Computing in Cyber Physical Society of Ministry of Education College of Automation Chongqing University College of Computer Science Chongqing University

To realize the estimation of bus penetration rate in road segment using bus GPS data, a method is proposed in this paper to estimate bus penetration rate in single signal cycle, according to the bus position at the end of red phase at a signalized intersection. Sum of squares for factor A(SSA) of bus penetration rate and time function in different signal cycle length are selected to characterize the accuracy and real-time quality of the estimation, on the basis, objective function is constructed to find appropriate signal cycle length as the time window. Aiming at the possible abnormal points in single cycle bus penetration rate, quartile method was used to eliminate them. In the end, simulation tests were carried out under different traffic flow and bus penetration rates, the results show that the proposed method in this paper has better performance when traffic flow is higher than 600 veh/h, and the bus penetration rate is higher than 5%. On the same time, a field test was conducted in an arterial road of Chongqing, the results show that the estimation method proposed in this paper can estimate the bus penetration rate of road segment effectively.

关键词： Intersection Bus GPS data Bus penetration rate Objective function and Quartile method

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Fuzzy Evaluation of Traffic Flow Stability Based on the Discreteness of Traffic Parameters 29

Fuzzy Evaluation of Traffic Flow Stability Based on the Disc...

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第29届中国控制与决策会议

作者： LIAO Xiao-yong CHEN Qing-yuan SUN Di-hua ZHAO Min CHENG Sen-lin School of Automation Chongqing University Key Laboratory of Dependable Service Computing in Cyber Physical Society of Ministry of Education Chongqing University

ISBN: (纸本)9781509046584

The microscopic traffic flow stability is difficult to describe the influences of the dynamic relationship between vehicles on traffic conditions. In order to solve the problem, from the perspective of macroscopic and microscopic parameters of traffic flow and considering the discreteness of velocity and following distance, the paper selected average velocity, average following distance, the variation coefficient of velocity and following distance as the traffic flow stability indices. And a stability evaluation model was constructed based on fuzzy theory. Using VISSIM simulation software, simulation experiment was carried out. The influences of traffic volume, traffic incident, traffic signals and GPS permeability on traffic flow stability evaluation were analyzed. Results show that traffic flow stability decreases gradually with the increase of volume. When there is a traffic incident, traffic flow stability decreases at the upstream section, while it is contrary to the downstream section. With the decrease of GPS permeability, the differences of the four indices and traffic flow stability at these GPS permeability with that of full permeability are becoming bigger and bigger. So the behavior described by the model is consistent with the actual state of the traffic system, proving that the model is real and effective. Thus it can be used to evaluate urban traffic flow stability macroscopically.

关键词： Traffic Flow Stability Fuzzy Evaluation Velocity Discreteness Following Distance Discreteness

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Vehicle detection method based on deep learning and multi-layer feature fusion 30

Vehicle detection method based on deep learning and multi-la...

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30th Chinese Control and Decision Conference, CCDC 2018

作者： Min, Zhao Jian, Jia Dihua, Sun Yi, Tang College of Automation Chongqing University Chongqing400044 China Key Laboratory of Dependable Service Computer in Cyber Physical Society Ministry of Education Chongqing China Chongqing Top Tech Information Co. Ltd Chongqing401147 China

ISBN: (纸本)9781538612439

Vehicle detection plays a very vital role in the environmental perception of smart driving car. In real driving scene, the existing methods have some problems in detecting occluded or small vehicle objects, and thus the detection accuracy cannot meet the actual needs. This paper proposed a new method to detect vehicle objects based on deep learning and multi-layer feature fusion. First, building a convolutional neural network (CNN) to extract the advanced features. Then several layers with different shades of the network are selected for detection and preset candidate boxes are also used, so that detection model can adapt to multi-scale objects. In addition, multi-layer feature fusion structure is designed to enhance semantic information. The contrast experimental results indicate that our method has achieved better detection accuracy on test set, and the detection speed has reached real-time level, which can meet the requirements of smart driving car in practical application. © 2018 IEEE.

关键词： Feature extraction Vehicle detection Convolution Machine learning Semantics Automobiles Training

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Research and Simulation of Node Importance in Transport Network based on Weighted Model 2

Research and Simulation of Node Importance in Transport Netw...

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2017 IEEE 第2届先进信息技术,电子与自动化控制国际会议(IAEAC 2017)

作者： Xin Zhao Linjiang Zheng Weining Liu Haiwei Liu Xiaoli Peng Key Laboratory of Dependable Service Computing in Cyber Physical Society (Chongqing University) Ministry of Education College of Computer Science Chongqing University

In recent years, studies on network theory have attracted a growing attention, especially, it has become a hot issue to combine the theoretical approach of network with the practical problems. In this

ISBN: (纸本)9781467389808

关键词： Roads Business process re-engineering Computational modeling Impedance Traffic congestion Analytical models Network topology

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A Historical Harvested Energy Assigning Mechanism for Multi-hop Multi-relay Energy Harvesting Wireless Sensor Networks 29

A Historical Harvested Energy Assigning Mechanism for Multi-...

引用

第29届中国控制与决策会议

作者： Yuanchang Zhong Zunzhao Wang Xiaofan Zhang Key Laboratory of Dependable Service Computing in Cyber Physical Society Ministry of Education.Chongqing University School of Automation Chongqing University

ISBN: (纸本)9781509046584

The load imbalance of sensor node is a severe problem for Wireless Sensor Networks(WSNs).In this paper,we firstly propose a Multi-hop Multi-relay Network Model(MMNM) with Relaying Head(RH) to balance the load among sensor *** the emergence of energy harvesting techniques brings us the Energy Harvesting Wireless Sensor Networks(EH-WSNs).Due to the indeterminacy of energy that can be harvested in ambient environment,study on energy management mechanism to achieve energy neutral is *** proposed a novel Sensor Nodes Pair(SNP) policy dividing all the sensor nodes into two groups GSN and GSN'.With the function rotation of GSN and GSN',we achieve continuous data transmission avoiding time *** a Historical Harvested Energy Assigning Mechanism(H-HEAM) is proposed to ensure the energy neutral constrains and perpetual network *** simulation results verify that our MMNM and H-HEAM are indeed able to improve the network overall performance on throughput,energy utilization efficiency and time delay.

关键词： Wireless Sensor Networks Energy Harvesting Energy Neutral Energy Management Mechanism

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Traffic Congestion Pattern Detection Using an Improved McMaster Algorithm 29

Traffic Congestion Pattern Detection Using an Improved McMas...

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第29届中国控制与决策会议

作者： Dihua Sun Cheng Zhang Min Zhao Linjiang Zheng Weining Liu College of Automation Chongqing University Key Laboratory of Dependable Service Computing in Cyber Physical Society of Ministry of Education Chongqing University College of Computing Chongqing University

ISBN: (纸本)9781509046584

Traffic congestion has been an important problem all over the *** transportation management system(ATMS) that provides information for traffic control and management addresses this *** Algorithm,one of the most classical congestion detection algorithms,has been widely used in ***,it still has some limitations such as difficulty of determining its parameters which are lower bound of uncongested data(LUD),critical occupancy(Ocrit) and critical volume(Vcrit).This paper transforms this problem to be an optimization problem and presents a new method that integrates gradient descent algorithm and particle swarm optimization algorithm(GPSO),with which parameters of McMaster Algorithm are extracted from the occupancy and volume of the *** it can determine the parameters of McMaster Algorithm more quickly and *** parameters of McMaster algorithm are validated with real data from Yuwu Expressway in *** results show that GPSO can help operators find the best parameters more effectively and make McMaster Algorithm yield a higher accuracy rate and recall rate.

关键词： McMaster Algorithm Gradient based Particle Swarm Optimization Algorithm Recurrent Congestion Non-Recurrent Congestion

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Simulation of Pedestrian Behaviors Based on an Improved Floor Field Cellular Automaton Model under Attractive Incidents 29

Simulation of Pedestrian Behaviors Based on an Improved Floo...

引用

第29届中国控制与决策会议

作者： Zhao Min Wang Linglin Zheng Linjiang Sun Dihua School of Automation Chongqing University Key Laboratory of Dependable Service Computing in Cyber Physical Society of Ministry of Education Chongqing University School of Computing Chongqing University

ISBN: (纸本)9781509046584

The study of pedestrian dynamics is very significant for promoting pedestrian traffic management and optimizing the layout of public facility in comprehensive transportation hubs, markets, theaters etc. In order to simulate and reproduce pedestrian behaviors under attractive incidents, an improved floor field model is proposed in this paper. This improved model is composed of static floor field, dynamic floor field and the new proposed attractive field, which takes into account the attractive degree of incident, view distance of onlooker, and pedestrian's safe psychological distance. The transition probability of pedestrian is decided by the interaction of static floor field, dynamic floor field and attractive field. Besides, pedestrian movement state is divided into three types under attractive incidents: walking, staying, and leaving, which can depict the pedestrian behaviors of gathering, looking and dissipation. The experiment results show that our proposed model can reproduce the onlooking processes and capture the typical characteristics of torus-shaped phenomenon under attractive incidents.

关键词： pedestrian flow onlooking behaviors floor field CA model attractive incidents

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Vehicle Detection Method Based On Deep Learning and Multi-Layer Feature Fusion

Vehicle Detection Method Based On Deep Learning and Multi-La...

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第30届中国控制与决策会议

作者： Zhao Min Jia Jian Sun Dihua Tang Yi College of Automation Chongqing University Key Laboratory of Dependable Service Computer in Cyber Physical Society of Ministry of Education

Vehicle detection plays a very vital role in the environmental perception of smart driving car. In real driving scene, the existing methods have some problems in detecting occluded or small vehicle objects, and thus the detection accuracy cannot meet the actual needs. This paper proposed a new method to detect vehicle objects based on deep learning and multi-layer feature fusion. First, building a convolutional neural network(CNN) to extract the advanced features. Then several layers with different shades of the network are selected for detection and preset candidate boxes are also used, so that detection model can adapt to multi-scale objects. In addition, multi-layer feature fusion structure is designed to enhance semantic information. The contrast experimental results indicate that our method has achieved better detection accuracy on test set, and the detection speed has reached real-time level, which can meet the requirements of smart driving car in practical application.

关键词： Deep Learning Vehicle Detection Multi-layer Feature Fusion CNN

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Privacy Preserving Scheme for Location Based services Using Cryptographic Approach 2

Privacy Preserving Scheme for Location Based Services Using ...

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2nd IEEE Symposium on Privacy-Aware computing, PAC 2018

作者： Pu, Yuwen Luo, Jin Wang, Ying Hu, Chunqiang Huo, Yan Zhang, Jiong School of Big Data and Software Engineering Chongqing University Chongqing China Key Laboratory of Dependable Service Computing in Cyber Physical Society Ministry of Education Chongqing University Chongqing China School of Electronic and Information Engineering Beijing Jiaotong University Beijing China Ningbo Branch of Agricultural Bank of China Ningbo China

ISBN: (纸本)9781538684429

Location based services pose strong security and privacy requirements but achieving privacy protection at the client side is a non-trial problem. In this paper, we propose an efficient and reliable location privacy preserving scheme using cryptographic approach. It can preserve users' privacy data by making their identity be anonymity for LBS provider and fog server. For communication, both AES with One-Time-Pad keys and IBE are employed to guarantee confidentiality and integrity of request and response data. Besides, we also provide security analysis to demonstrate that our scheme can resist internal attack, external attack and colluding attack. © 2018 IEEE.

关键词： Location based services

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