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World Automation Congress

作者： Dexiang Xie Haibo Zhu Lin Yan Si Yuan Junqiao Zhang College of Computer and Information Technology China Three Gorges University Yichang 443002 P. R. China

ISBN: (纸本)9781467344975

Network analyses is an important function of GIS, and the shortest path analysis is the key problem of network analyses. dijkstra shortest path algorithm is one of the classic algorithms. Based on the analysis of this algorithm, this paper describe from the point of application, using geographic information system (GIS) features, we designed a new data storage structure, improved node search method to improve the efficiency of the algorithm by using a heap to save nodes, and that can save storage space and shorten the searching time.

关键词： Shortest-path dijkstra algorithm Heap Objectoriented

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An Agent Based Traffic Regulation System for the Roadside Air Quality Control

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IEEE ACCESS 2017年 5卷 13192-13201页

作者： El Fazziki, Abdelaziz Benslimane, Djamal Sadiq, Abderrahmane Ouarzazi, Jamal Sadgal, Mohamed Cadi Ayyad Univ Comp Syst Engn Lab Marrakech 40000 Morocco Univ Claude Bernard Lyon 1 LIRIS Lab F-69622 Villeurbanne France Cadi Ayyad Univ URAC 20 Lab Physicochim Mat & Environm Marrakech 40000 Morocco

This paper describes an on-road air quality monitoring and control approach by proposing an agent-based system for modeling the urban road network infrastructure, establishing the real-time and predicted air pollution indexes in different road segments and generating recommendations and regulation proposals for road users. This can help by reducing vehicle emissions in the most polluted road sections, optimizing the pollution levels while maximizing the vehicle flow. For this, we use data sets gathered from a set of air quality monitoring stations, embedded low-cost e-participatory pollution sensors, contextual data, and the road network available data. These data are used in the air quality indexes calculation and then the generation of a dynamic traffic network. This network is represented by a weighted graph in which the edges weights evolve according to the pollution indexes. In this paper, we propose to combine the benefits of agent technology with both machine learning and big data tools. An artificial neural networks model and the dijkstra algorithm are used for air quality prediction and the least polluted path finding in the road network. All data processing tasks are performed over a Hadoop-based framework: HBase and MapReduce.

关键词： Air quality management crowd-sourcing dijkstra algorithm mobile sensors pollution prediction traffic regulation

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Nash Differential Evolution (NashDE) algorithm for WAMS Planning 8

Nash Differential Evolution (NashDE) Algorithm for WAMS Plan...

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8th IEEE India International Conference on Power Electronics (IICPE)

作者： Thasnimol, C. M. Rajathy, R. Pondicherry Engn Coll Dept EEE Pondicherry India

ISBN: (纸本)9781538649961

Wide Area Monitoring System (WAMS) is an inevitable component in todays power system since a small catastrophe like fluctuations caused by the renewable energy sources, fast changing loads, electric vehicles, etc. will lead to the collapse of the whole system. This paper addresses the optimal planning of WAMS by Nash Differential Evolution (NashDE) algorithm, in which the variables of the problem are clustered into number of clusters, and will evolve parallelly by Differential Evolution (DE) towards the global objective of the problem. For optimization problems which are based on the connectivity of variables involved as in most of the power system planning processes, the convergence speed will greatly improve if variables in a cluster are physically connected. Further, this will ensure global convergence of the problem. Hence, this paper proposes a NashDE algorithm in which the variables are clustered based on their connectivity. Markov Clustering algorithm (MCL) is used for clustering the variables based on their connectivity. This is the first paper of such kind which addresses WAMS planning problem by Evolutionary Game Theory. Simulations are carried out for IEEE 14 and 30 bus test system using Python programming and the results are presented graphically.

关键词： PMU PDC WAMS NashDE Differential Evolution Evolutionary Game Theory MCL algorithm dijkstra algorithm

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Custom Bus optimization of docking stations based on partition path selection

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ADVANCES IN MECHANICAL ENGINEERING 2017年第10期9卷 1-6页

作者： Li, Wenyong Yu, Ziwei Wei, Shuo Lu, Xiayun Zhang, Yuanqing Wang, Tao Guilin Univ Elect Technol Sch Architecture & Transportat Guilin 541004 Peoples R China Jiangxi Coll Appl Technol Ganzhou Peoples R China

The Custom Bus has advantages on punctuality, direct arrival, and economic benefits. It has a good effect on attracting passengers from private cars commuting in city. Due to the unscientific docking stations, the Custom Bus is always ineffective. There are little studies about the optimization of docking stations. Based on the reference to minimum cost maximum flow problem, using the chain of minimum cost increase flow and the dijkstra algorithm, choosing points by 0-1 planning model, studying the docking forms on multi-origin to multi-destination. Guaranteeing the attendance rate and limited docking stations, to achieve the goals that shortest single path and the highest service rate by arranging the docking stations reasonably. This algorithm has been demonstrated during the process of optimizing Custom Bus docking stations between Guilin's new and old urban districts.

关键词： Custom Bus optimization of docking stations minimum cost maximum flow chain of minimum cost increase flow dijkstra algorithm

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AN INDOOR ROUTE PLANNING METHOD WITH ENVIRONMENT AWARENESS

AN INDOOR ROUTE PLANNING METHOD WITH ENVIRONMENT AWARENESS

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IEEE International Geoscience and Remote Sensing Symposium

作者： Yan Zhou Hong Chen Yueying Huang Yunxin Luo Yeting Zhang Xiao Xie Institute of Remote Sensing Big Data Big Data Research Center of UESTC Chengdu China School of Resources and Environment University of Electronic Science and Technology of China (UESTC) Mapping and Remote Sensing Wuhan University Wuhan China Research Center for Industrial Ecology & Sustainability Chinese Academy of Sciences Shenyang China

Aiming at satisfying the users' navigation requirements in complex indoor environments, an indoor route planning method with environment awareness is proposed in this paper. Considering the accessibility, simplicity and comfortable experience of user's navigation, the paper first describes the modeling method of indoor navigation network and defines the expressions of indoor environment semantics. And then a navigation cost function is presented, which includes environment semantics such as path complexity, crowded degree and blocking events into indoor navigation network model. Finally, this paper proposes an optimal indoor route planning method by introducing the navigation cost function and environment semantics into traditional dijkstra algorithm. The experimental results show that the proposed method can effectively enhance the user's comfort experience in indoor navigation.

关键词： Environment semantics Indoor route planning dijkstra algorithm Indoor navigation

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Study on Path Planning of Urban Sharing-bike Connecting Rail Transit

Study on Path Planning of Urban Sharing-bike Connecting Rail...

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2018 3rd International Conference on Materials Science,Machinery and Energy Engineering(MSMEE 2018)

作者： Chenggong Yu Xiubang Li Xiaoxia Li School of Automobile Chang'an University School of traffic Qinghai Nationalities University

Sharing-bikes are characterized by health, greenness and environmental protection, effectively solving the "last kilometer" problem. It is of great significance to reasonably plan the sharing-bike connecting rail transit routes to meet the traveler's needs, build safe urban traffic travel environment, and guide bicycle travel. Based on the shared bicycle trip data, this paper proposes an optimal paved lane path planning model for a sharing-bike connected rail transit based on traffic network. Based on spatial clustering and improved dijkstra's algorithm, the steps and principles for solving the model are given. The results of the example of Beijing No. 2 Line as a planning example show that this model has the characteristics of convenience of route layout and deployment cost, and has certain feasibility, which enriches the path planning method of bicycle lanes.

关键词： urban traffic path planning Sharing-bikes dijkstra algorithm

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The Distribution of the Patrol Drone

The Distribution of the Patrol Drone

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2018 International Symposium on Communication Engineering & Computer Science(CECS 2018)

作者： Junbo Lu School of North China Electric Power University

ISBN: (纸本)9781510873919

In recent time,a plenty of "jaywalkers" cause threat to some law-abiding drivers in the city,and the government decides to take some measures to deal with the *** present,they want to carry out different surveillance plans for the entire district using a certain number of *** order to ensure that all the geographic parts are observed in the continuously 15 minutes,I apply a goal planning model,which is based on the graph *** to the model,the result is calculated that 13 drones are needed and the flight route for each drone is *** this condition,each drone could fly safely and accomplish the patrol *** solving all the problems,we do a sensitivity analysis with the change of the *** stable drone numbers and slightly changed paths showed the robustness of our *** more precise data and further experiment,the model can be used to provide more suitable scheme.

关键词： jaywalker security graph theory goal planning dijkstra algorithm drone monitoring

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Research of Reconstruction Technology in Aircraft Anti-skid Braking System Based on Shortest Path Method

Research of Reconstruction Technology in Aircraft Anti-skid ...

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CSAA/IET International Conference on Aircraft Utility Systems

作者： Zehua Liu Jing Su Zhenshui Li Cheng Qin Department of Mechanical & Electronic System AVIC The First Aircraft Institute AVIC The First Aircraft Institute Committee on Science and Technology AVIC The First Aircraft Institute

ISBN: (纸本)9781510872745

The current situation of design of braking system is that high failure rate during landing and take-off status, and switching to emergency braking system automatically once faults appearing in normal braking system, it causes the braking system to fail to maximize its effectiveness. Based on this situation, a kind of reconstruction system of anti-skid braking system has been constructed by establishing the optimization model of shortest path based on the dijkstra algorithm. In this paper, through establishing optimization model of signal flow, and reconstructing and optimizing the system by shortest path algorithm, the safety level of the anti-skid braking system of aircraft can be improved. The simulation results show that for indicated random faults, the system can be quickly and accurately reconstructed under braking process, and the safety of braking system can be improved.

关键词： Anti-skid braking system System reconstruction dijkstra algorithm Shortest Path Method System simulation

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The Advantage of the Arduino Sensing System on Parking Guidance Information Systems

The Advantage of the Arduino Sensing System on Parking Guida...

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IEEE International Conference on Industrial Engineering and Engineering Management (IEEE IEEM)

作者： Huang, K. Y. Chang, S. B. Tsai, P. R. Ling Tung Univ Dept Informat Management Taichung Taiwan Chaoyang Univ Technol Dept Golden Ager Ind Management Taichung Taiwan

ISBN: (纸本)9781538609484

Parking is a big problem in metropolis. When people go to mall, department stores or hospitals, they often waste much time to find an unoccupied parking space. The study aims to provide people with real-time information about the parking spaces using an app which is transmitted through Arduino systems, WIFI communication modules, and the parking route planning mechanism. In this way, people can have a good command of parking information when they get into the parking lot.

关键词： Arduino dijkstra algorithm App

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A Path Planning Method of Wireless Sensor Networks Based on Service Priority 13

A Path Planning Method of Wireless Sensor Networks Based on ...

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13th International Conference on Network and Service Management (CNSM)

作者： Li, Peng Xu, Siya Sun, Kang Qiu, Xuesong Qi, Feng Beijing Univ Posts & Telecommun State Key Lab Networking & Switching Technol Beijing Peoples R China

ISBN: (纸本)9783901882982

Life-time represents the effective survival time of network, which is significant when measuring the performance of wireless sensor networks (WSNs). Therefore, it is so important to extend network life-time by planning appropriate path based on energy consumption and remaining energy of wireless sensors. In this paper, a path planning method of WSNs based on service priority is proposed, and a customized dijkstra algorithm is used to solve this problem. This method minimizes the total energy consumption of network while balancing remaining energy of all nodes in network, and through the sacrifice of network delay in exchange for extension of life-time. The simulation results show that our method not only prolongs network life-time compared to shortest-path algorithm but also improves network reliability.

关键词： WSNs service priority path planning dijkstra algorithm load balancing

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