Proceedings of the 5th ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management最新文献

Study on comfortable distance based car-following model with trajectory data 基于轨迹数据的舒适距离汽车跟随模型研究

Proceedings of the 5th ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management Pub Date : 2019-11-05 DOI: 10.1145/3356998.3365774

Han Xing, Shuyi Wang, Zifan Yang, Yao Ren, Nan Jia, Yi Liu

引用次数: 0

Spatial and temporal distribution of LPG dispersion concentration in small-scale space 小尺度空间液化石油气弥散浓度时空分布

Proceedings of the 5th ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management Pub Date : 2019-11-05 DOI: 10.1145/3356998.3365767

Yang Gao, Hui Zhang, Lei Xiao, Yanyun Fu, Xiaoxue Ma

{"title":"Spatial and temporal distribution of LPG dispersion concentration in small-scale space","authors":"Yang Gao, Hui Zhang, Lei Xiao, Yanyun Fu, Xiaoxue Ma","doi":"10.1145/3356998.3365767","DOIUrl":"https://doi.org/10.1145/3356998.3365767","url":null,"abstract":"Spatial and temporal distribution of dangerous chemicals gas is critical for emergency management and emergency evacuation. Experiment and simulation are usually used to estimate gas leakage concentration. However, it takes time to obtain accurate results quickly. In order to study the dispersion of dangerous chemicals in transportation, based on the similarity theory, a small-scale experimental platform for heavy gas leakage of expressway was built, and the small-scale space experiment was carried out on the dispersion process of liquefied petroleum gas (LPG). Through qualitative and quantitative analysis of the experimental results, A model for continuous leakage dispersion of heavy gas under specific conditions and a fast calculation equation are constructed. The model and the fast calculation equation were validated through the large-scale test data from abroad. The validation results show that the error of mathematical model is small. The calculation equation can be used to estimate the concentration of heavy gas in hazardous chemical leakage accident quickly. In this paper, Data analysis model based on SPSS is developed to predict the gas concentration quickly. Database of heavy gas leakage dispersion is established. It can provide theoretical and data support for emergency management agency to delimit the dispersion range and warning area accurately and quickly. The research results are of great significance for enriching the law of heavy gas leakage dispersion and improving the rescue and disposal ability of emergency agencies.","PeriodicalId":133472,"journal":{"name":"Proceedings of the 5th ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133464787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Emergency broadcasting message transmission based on CDR system 基于话单系统的紧急广播消息传输

Proceedings of the 5th ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management Pub Date : 2019-11-05 DOI: 10.1145/3356998.3365778

Xin Yu, Guofang Sheng, Xunchun Li

引用次数: 1

Discentralized human movement control and management for campus safety 分散的人员运动控制与管理，为校园安全服务

Proceedings of the 5th ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management Pub Date : 2019-11-05 DOI: 10.1145/3356998.3365762

Xiaoxue Ma, Hui Zhang, Yanyun Fu, Yiping Zeng, Danhuai Guo, Yang Gao

引用次数: 0

Determination of the number and distribution of charging stations for electric vehicles 电动汽车充电站数量和分布的确定

Proceedings of the 5th ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management Pub Date : 2019-11-05 DOI: 10.1145/3356998.3365770

Mengna Zhu, B. Chen, Yatai Ji, Jie Zhang

引用次数: 0

Strategy of hybrid optimization algorithms for source parameters estimation of hazardous gas in field cases 现场情况下有害气体源参数估计的混合优化算法策略

Proceedings of the 5th ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management Pub Date : 2019-11-05 DOI: 10.1145/3356998.3365768

Yiduo Wang, B. Chen, Zhengqiu Zhu, Chuan Ai

{"title":"Strategy of hybrid optimization algorithms for source parameters estimation of hazardous gas in field cases","authors":"Yiduo Wang, B. Chen, Zhengqiu Zhu, Chuan Ai","doi":"10.1145/3356998.3365768","DOIUrl":"https://doi.org/10.1145/3356998.3365768","url":null,"abstract":"Hazardous gas in chemical parks is an important factor affecting air quality. Its emission and leak accidents have gradually attracted people's attention. The emission and leak accidents are essentially air contaminant dispersion (ADS) and inverse traceability issues. Many ADS modeling methods have been developed by researchers. However, traditional ADS models are difficult to meet the requirement of both accuracy and efficiency. Due to the powerful fitting ability and fast calculation speed, artificial neural network (ANN) is used by more and more people for gas dispersion prediction. Of course, ANN training requires a large amount of data to ensure that the neural network can be applied to different scenarios. The Project Prairie Grass dataset provides us with plenty of actual experimental data to train neural network. The inverse traceability issue, which also known as source parameters estimation problem, has been solved by heuristic optimization algorithms in recent years. However, single optimization algorithm often has obvious advantages and disadvantages, and cannot balance local optimization and global optimization. Therefore, this paper explores the hybrid strategy between different optimization algorithms, and then combines single particle swarm optimization (PSO) algorithm with genetic algorithm (GA) and simulated annealing algorithm (SA) under the guidance of hybrid strategy. Finally, comparing single PSO and two hybrid optimization algorithms under unified standards, the results proves the superiority of hybrid optimization algorithms.","PeriodicalId":133472,"journal":{"name":"Proceedings of the 5th ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134124621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A promising searching method 'Entrotaxis-Jump' for seeking hazardous gas source in a chemical cluster 一种很有前途的寻找化学集群中危险气源的搜索方法“熵跃”

Proceedings of the 5th ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management Pub Date : 2019-11-05 DOI: 10.1145/3356998.3365766

Yong Zhao, B. Chen, Zhengqiu Zhu, Rongxiao Wang, Hailiang Chen, X. Qiu

{"title":"A promising searching method 'Entrotaxis-Jump' for seeking hazardous gas source in a chemical cluster","authors":"Yong Zhao, B. Chen, Zhengqiu Zhu, Rongxiao Wang, Hailiang Chen, X. Qiu","doi":"10.1145/3356998.3365766","DOIUrl":"https://doi.org/10.1145/3356998.3365766","url":null,"abstract":"In the case of hazardous gas leakage accidents, it is significant to utilize search methods to guide a searcher to find the source and master the source term (source location, release strength) quickly. Because the essential source information can help the emergency management body to form a timely and effective accident disposal plan. This paper mainly studies the source searching problem in the chemical cluster where the searcher's movement is constrained by road network. We, firstly, introduce the Entrotaxis search algorithm, then combine it with the intermittent search strategy to propose the Entrotaxis-Jump algorithm. Besides, a prototype system of ground-based search robot is built for verifying performance of search methods and executing search tasks in a real scenario. Finally, this paper conducts a case study of a chemical cluster in Shanghai, China, and Entrotaxis-Jump algorithm proposed in this paper is verified to outperformance Entrotaxis algorithm. According to the results of 100 Monte Carlo simulations of two algorithms, the success rate of Entrotaxis-Jump is 34% higher than the Entrotaxis, and the mean search time is reduced by 374.94s.","PeriodicalId":133472,"journal":{"name":"Proceedings of the 5th ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130670121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Path optimization of integrating crowd model and reinforcement learning 整合人群模型和强化学习的路径优化

Proceedings of the 5th ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management Pub Date : 2019-11-05 DOI: 10.1145/3356998.3365765

Yanyun Fu, Wenxi Shi, Hui Zhang, Xiaoxue Ma, Yang Gao, Danhuai Guo

引用次数: 0

Unlicensed taxi detection algorithm based on traffic surveillance data 基于交通监控数据的无牌出租车检测算法

Proceedings of the 5th ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management Pub Date : 2019-11-05 DOI: 10.1145/3356998.3365775

Yao Tian, Jiaming Yang, P. Lu

引用次数: 2

Experimental investigation into the acoustic characteristics of the ground surface response due to leakage in buried water-filled pipelines 埋地充水管道泄漏时地表响应声学特性的实验研究

Proceedings of the 5th ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management Pub Date : 2019-11-05 DOI: 10.1145/3356998.3365764

Shuan Yan, Hongyong Yuan, Yan Gao, Lizheng Deng, Boao Jin, Yifan Ma

{"title":"Experimental investigation into the acoustic characteristics of the ground surface response due to leakage in buried water-filled pipelines","authors":"Shuan Yan, Hongyong Yuan, Yan Gao, Lizheng Deng, Boao Jin, Yifan Ma","doi":"10.1145/3356998.3365764","DOIUrl":"https://doi.org/10.1145/3356998.3365764","url":null,"abstract":"The research based on the acoustic transmission characteristics of pipelines has been widely used. However, little work has been done to detect leakage signals of buried pipelines on the surface. In this paper, the sensor array on the surface is used to detect the leakage signal of buried water-filled pipeline. The acoustic characteristics of leakage noise measured under controlled conditions are mainly studied, including different axes of accelerometer, different height of soil cover, different horizontal spacing, different pipe pressure and so on. It is found that the signal from x-axis and y-axis of the accelerometer parallel to the ground surface are more obvious. On the contrary, the effect of z-axis detection perpendicular to the ground plane is relatively weak. The leakage signal decreases with the overlying soil height increased, and the attenuation intensity decreases from strong to weak. The higher the pipe pressure is, the more obvious the leakage signal is. The closer to the leakage point on the ground surface, the stronger the energy of the leakage signal is. In this paper, geographic information system (GIS) is used to calibrate the relative position of the detection array in advance, and the preliminary measurement of the leakage signal of buried pipeline is carried out. The experimental results show that it is feasible to detect the leakage of buried water-filled pipeline through the surface. In the future, further research work will be carried out to study the measuring range of surface detection and the detectable range of leakage flow.","PeriodicalId":133472,"journal":{"name":"Proceedings of the 5th ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125408450","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1