检索结果-内蒙古大学图书馆

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 4

The design and optimization of overlapping phase combination...

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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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Research on Optimizing Intersection Signals Based on TRANSYT Single Timing Software 16

Research on Optimizing Intersection Signals Based on TRANSYT...

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16th COTA International Conference of Transportation Professionals: Green and Multimodal Transportation and Logistics, CICTP 2016

作者： Song, Bao-Bao Zhang, Xu Tian, Rong-Rong Xu, Zhi-Jun School of Civil Engineering and Architecture Henan Univ. of Technology Zhengzhou450001 China Key Laboratory ITS Technology Optimization and Integration Ministry of Public Security Hefei230088 China

ISBN: (数字)9780784479896

ISBN: (纸本)9780784479896

This paper aims to combine the use of both TRANSYT and VISSIM software in an attempt to reduce roadway traffic saturation while also combatting stop delay and queue lengths to improve the efficiency of traffic through an intersection. Investigation into and analysis of current conditions on Huang-Shan Road and Xiang-Zhang Avenue in Hefei city allows the TRANSYT and VISSIM models to be created and the two models to be compared. After using the TRANSYT model for signal optimization under two conditions, pedestrians are introduced. The model is combined with the VISSIM simulation software to verify the optimized results. The research shows that combining the software can reduce the road saturation effectively and reduce the both stop delay and queue length to improve the efficiency of the intersection. © 2016 ASCE.

关键词： Efficiency

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Design and Evaluation of an Adaptive Traffic Signal Control System – A Case Study in Hefei, China

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Transportation Research Procedia 2017年 21卷 141-153页

作者： Rongrong Tian Xu Zhang Key Laboratory for ITS System Integration and Optimization Ministry of Public Security People's Republic of China Hefei 230088 China Henan University of Technology Zhengzhou 450052 China

As a part of developing an adaptive signal control system using VS-PLUS method for optimal network traffic control, a study was carried out along the Huangshan Road in Hefei, China, to evaluate this system. This paper described the study which included field survey about traffic performance; development of trip matrix using an improved Furness method; using the TRANSYT traffic modelling software to find the optimal fixed-time signal plan and VISSIM micro-simulation software to affirm and evaluate the TRANSYT model and to help assess the optimal signal plan; building adaptive frame signal plan and refining and evaluating the plan using VISSIM with VS-PLUS emulator. The results indicated that average delay per vehicle was reduced significantly with consequent improvement in network performance. Adaptive signal control plan was then designed for the VS-PLUS signal control system based on the optimal fixed-time signal plan. Through micro-simulation, it was shown that delay in the adaptive signal control was shortened noticeably than that in the fixed time control. This study has been the very first for this system. Further and more comprehensive studies are expected to follow to fully evaluate and appreciate this system. This study has filled some of the gaps in evaluating the performance of and provided a benchmark for such an adaptive traffic signal control system in a typical urban setting in cities in China. The study has also raised a number of questions in setting the optimal frame plan regarding driver behaviour, safety concerns and tradeoffs between shorter cycles and higher responsiveness to traffic variations.

关键词： traffic simulation traffic model adaptive control network signal optimization evaluation

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Fast Construction Algorithm of Cooperative Relay Network for Unmanned Aerial Vehicle

Fast Construction Algorithm of Cooperative Relay Network for...

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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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The design and optimization of overlapping phase combination for isolated intersection

The design and optimization of overlapping phase combination...

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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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Provide Feedback to Service Provider Based On the Ranking of Web Service with Hybrid QoS

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中国科技纵横 2017年第11期 248-253页

作者： Jun Liu Youhong Ling Wenjing Du Guoqiang Li Ministry of Public Security Key Laboratory of Urban Traffic Management Integration and Optimization Technology Anhui Hefei 230088 Anhui Keli Information Industry Co. Ltd. Anhui Hefei 230088

Web service selection based on the QoS is still a hot topic in the area of service computing. For the past web service QoS are mostly describe in single data type, this paper present hybrid QoS to describe the web service. The hybrid QoS contains real number type, interval type and language type. The web service selection based on hybrid QoS used the improved TOPSIS method. Experiment results show that the web service selection based on hybrid QoS has higher stability and reliability. Meanwhile, this paper presents the method for service provider to improve their web service by the feedback from web service consumers. Service provider can improve their service by the feedback in order to more and more consumers select their service. Thus the service provider could get greater benefits and increase the competitiveness of their services with other services.

关键词： Web Service Selection Quality of Service (QoS) service provider TOPSIS feedback

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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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Control of Vehicle Trajectory Tracking Under Extreme Conditions Based on ILQR

Control of Vehicle Trajectory Tracking Under Extreme Conditi...

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Electronic technology and Information Science (ICETIS), International Conference on

作者： Jiandong Xing Zhihong Song Mengyue Cheng Qiwen Gou Xuesong Bai Siqi Chen School of Transportation Science and Engineering Beihang University Beijing China Hefei Innovation Research Institute Beihang University Hefei China Anhui Keli Information Industry Co. Ltd Hefei China Key Laboratory of Urban ITS Technology Optimization and Integration Ministry of Public Security Hefei China

ISBN: (数字)9798350388343

ISBN: (纸本)9798350388350

Vehicle maneuvers resembling drifting offer a significantly expanded range of motion, particularly valuable in extreme collision avoidance scenarios. However, existing control algorithms fall short in fulfilling the demands of trajectory tracking tasks under such extreme conditions. This paper introduces a novel ILQR controller capable of guiding vehicles through maneuvers akin to drifting, particularly in highly demanding collision avoidance scenarios. To address stability constraint issues within the controller, we integrate the Projected Newton method with ILQR theory to resolve state constraint problems within the QP framework. Additionally, input constraint issues are addressed through the utilization of hyperbolic cosine functions. Ultimately, experimental results demonstrate the vehicle's proficiency in accurately tracking collision avoidance trajectories.

关键词： Regulators Trajectory tracking Stability analysis Tires Planning Trajectory Collision avoidance

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