Proceedings of the 29th International Conference on Advances in Geographic Information Systems最新文献_第8页

Conntrans

Proceedings of the 29th International Conference on Advances in Geographic Information Systems Pub Date : 2021-11-02 DOI: 10.1145/3474717.3483926

Fandel Lin, Hsun-Ping Hsieh

{"title":"Conntrans","authors":"Fandel Lin, Hsun-Ping Hsieh","doi":"10.1145/3474717.3483926","DOIUrl":"https://doi.org/10.1145/3474717.3483926","url":null,"abstract":"Transportation between satellite cities or inside the city center has always been a crucial factor in contributing to a better quality of life. This paper focuses on a multi-criteria distributed competitive route planning for parking slot cruising in regions where neither real-time nor historical availability of parking slots is accessible. An inference-than-planning framework is proposed for solving the parking slot searching using a zero-information distributed model with an availability inference for parking slots in areas with no sensor coverage. Meanwhile, a proposed Conntrans algorithm is suggested as a two-stage structure with three relaxing policies: adjacent cruising, on-orbital annealing, and orbital transitioning. The evaluation is conducted based on the simulation in a publicly accessible real-world parking data from SFPark in San Francisco; the area is divided into 3 separated regions with different urban characteristics. Overall results show that the proposed availability inference model can retrieve decent performance. Furthermore, Conntrans is able to outperform baselines and state-of-the-arts in overall score by at most 77% with a success rate at around 97% and maintains the quality of solutions under various circumstances.","PeriodicalId":340759,"journal":{"name":"Proceedings of the 29th International Conference on Advances in Geographic Information Systems","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114759705","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

AI-BPO: Adaptive incremental BLE beacon placement optimization for crowd density monitoring applications AI-BPO:用于人群密度监测应用的自适应增量BLE信标放置优化

Proceedings of the 29th International Conference on Advances in Geographic Information Systems Pub Date : 2021-11-02 DOI: 10.1145/3474717.3483964

Yang Zhen, Masato Sugasaki, Y. Kawahara, K. Tsubouchi, Matthew Ishige, M. Shimosaka

引用次数: 2

Disaster Damage Estimation from Real-time Population Dynamics using Graph Convolutional Network (Industrial Paper) 基于图卷积网络的实时种群动态灾害损失估计(工业论文)

Proceedings of the 29th International Conference on Advances in Geographic Information Systems Pub Date : 2021-11-02 DOI: 10.1145/3474717.3483972

Keiichi Ochiai, Hiroto Akatsuka, Wataru Yamada, Masayuki Terada

{"title":"Disaster Damage Estimation from Real-time Population Dynamics using Graph Convolutional Network (Industrial Paper)","authors":"Keiichi Ochiai, Hiroto Akatsuka, Wataru Yamada, Masayuki Terada","doi":"10.1145/3474717.3483972","DOIUrl":"https://doi.org/10.1145/3474717.3483972","url":null,"abstract":"Storm and flood disasters such as typhoons and torrential rains are becoming more intense and frequent. The national government and municipalities must respond to such natural disasters as soon as possible. When the scale of damage is large; however, it takes much time to investigate the severity of damage, and the initial response can be delayed. If we could precisely and rapidly estimate the severity of damage for each city at an early stage, the national government would be able to better support the municipalities, and consequently respond quickly to help citizens. In this paper, we propose a novel approach to estimate the severity of disaster damage within a short time period after a disaster occurs by exploiting real-time population data generated from cellular networks. First, we investigate the relationship between real-time population data and the severity of damage. Then, we design a Graph Convolutional Networks for Disaster Damage Estimation, called D2E-GCN, which fully exploits the directed and weighted characteristics of human mobility graph. We conduct an offline evaluation on real-world datasets including two typhoons that hit Japan. The evaluation results show that the proposed method outperforms baseline methods which do not consider the graph structure of cities, and the proposed method can estimate the severity of damage approximately 48 hours after typhoons passed. Moreover, we find the experimental insight that the estimation performance can be significantly affected by the graph construction method for GCN models.","PeriodicalId":340759,"journal":{"name":"Proceedings of the 29th International Conference on Advances in Geographic Information Systems","volume":"414 18","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120936156","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

Tiering in Contraction and Edge Hierarchies for Stochastic Route Planning 随机路径规划中的收缩分层和边缘层次

Proceedings of the 29th International Conference on Advances in Geographic Information Systems Pub Date : 2021-11-02 DOI: 10.1145/3474717.3484267

Payas Rajan, C. Ravishankar

{"title":"Tiering in Contraction and Edge Hierarchies for Stochastic Route Planning","authors":"Payas Rajan, C. Ravishankar","doi":"10.1145/3474717.3484267","DOIUrl":"https://doi.org/10.1145/3474717.3484267","url":null,"abstract":"Stochastic route planning is a hard problem, since it deals with uncertain edge weights, usually modeled as probability distributions. Stochastic shortest path queries are very expensive, as they must compute convolutions of edge weight distributions, whose representations can have a major impact on query costs. Effective speedup techniques for shortest path queries exist for deterministic edge weights, but their extensions to stochastic settings have had limited success, and real-time stochastic routing queries remain beyond reach. We introduce the tiering technique for Contraction and Edge Hierarchies (CHs and EHs) to address this challenge. We divide the hierarchy into tiers, and represent edge weights in each tier in ways that permit effective tradeoffs between accuracy, convolution costs, and space use. We show how to use Gaussians to approximate histograms, and bound errors using the KL divergence and Hellinger distance measures. We develop Uncertain Contraction Hierarchies (UCHs) and Uncertain Edge Hierarchies (UEHs) using these methods, and show that they improve both CH and EH performance for three different stochastic query types: probabilistic budget routes, non-dominated routes, and routes to minimize the mean-risk objective. We evaluate our methods using real-world data from Mapbox Traffic Data for a section of Los Angeles. Finally, our results show that query times for EHs can be competitive with CHs for stochastic edge weights, contrary to current belief.","PeriodicalId":340759,"journal":{"name":"Proceedings of the 29th International Conference on Advances in Geographic Information Systems","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132696642","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

SRC: Incorporating Geographic Information for Building a Location-based Recommendation System 整合地理信息构建基于位置的推荐系统

Proceedings of the 29th International Conference on Advances in Geographic Information Systems Pub Date : 2021-11-02 DOI: 10.1145/3474717.3486811

Yuankun Jiao, Yao-Yi Chiang

引用次数: 0

Discovering Mixture-Based Best Regions of Arbitrary Shapes 发现基于混合的任意形状的最佳区域

Proceedings of the 29th International Conference on Advances in Geographic Information Systems Pub Date : 2021-11-02 DOI: 10.1145/3474717.3484215

Dimitrios Skoutas, Dimitris Sacharidis, Kostas Patroumpas

引用次数: 3

Travel Time Estimation Based on Neural Network with Auxiliary Loss 基于辅助损失的神经网络行程时间估计

Proceedings of the 29th International Conference on Advances in Geographic Information Systems Pub Date : 2021-11-02 DOI: 10.1145/3474717.3488238

Yunchong Gan, Haoyu Zhang, Mingjie Wang

引用次数: 1

Improving evaluation of NO2 emission from ships using spatial association on TROPOMI satellite data 利用TROPOMI卫星数据空间关联改进船舶NO2排放评价

Proceedings of the 29th International Conference on Advances in Geographic Information Systems Pub Date : 2021-11-02 DOI: 10.1145/3474717.3484213

Solomiia Kurchaba, J. Vliet, J. Meulman, F. Verbeek, C. Veenman

{"title":"Improving evaluation of NO2 emission from ships using spatial association on TROPOMI satellite data","authors":"Solomiia Kurchaba, J. Vliet, J. Meulman, F. Verbeek, C. Veenman","doi":"10.1145/3474717.3484213","DOIUrl":"https://doi.org/10.1145/3474717.3484213","url":null,"abstract":"As of 2021, more demanding NOx emission requirements entered into force for newly built ships operating on the North and Baltic Sea. Even though various methods are used to assess ships' pollution in ports and off the coastal areas, monitoring over the open sea has been infeasible until now. In this work, we present a novel automated method for evaluation of NO2 emissions produced by individual seagoing ships. We use the spatial association statistic local Moran's I in order to improve the distinguishability between the plume and the background. Using the Automatic Identification Signal (AIS) data of ship locations as well as incorporated uncertainties in wind speed and wind direction, we automatically associate the detected plumes with individual ships. We evaluate the quality of ship-plume matching by calculating the Pearson correlation coefficient between the values of a model-based emission proxy and the estimated NO2 concentrations. For five of the six analyzed areas, our method yields results that are an improvement over the baseline approach used in a previous study.","PeriodicalId":340759,"journal":{"name":"Proceedings of the 29th International Conference on Advances in Geographic Information Systems","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124697315","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: 8

Data Augmentation using GANs for Deep Learning-based Localization Systems 基于gan的深度学习定位系统的数据增强

Proceedings of the 29th International Conference on Advances in Geographic Information Systems Pub Date : 2021-11-02 DOI: 10.1145/3474717.3486807

Joseph Boulis, Mohamed Hemdan, A. Shokry, Maged A. Youssef

引用次数: 7

Ovid: A Machine Learning Approach for Automated Vandalism Detection in OpenStreetMap OpenStreetMap中自动破坏检测的机器学习方法

Proceedings of the 29th International Conference on Advances in Geographic Information Systems Pub Date : 2021-11-02 DOI: 10.1145/3474717.3484204

Nicolas Tempelmeier, Elena Demidova

引用次数: 0