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Using Census Data for the Gravity Model in Smart Transport Planning 人口普查数据在智能交通规划重力模型中的应用
2022 Smart City Symposium Prague (SCSP) Pub Date : 2022-05-26 DOI: 10.1109/scsp54748.2022.9792555
David Jurik, Vít Janoš
{"title":"Using Census Data for the Gravity Model in Smart Transport Planning","authors":"David Jurik, Vít Janoš","doi":"10.1109/scsp54748.2022.9792555","DOIUrl":"https://doi.org/10.1109/scsp54748.2022.9792555","url":null,"abstract":"This paper focuses on the use of census ridership data to calibrate a self-generated gravity model that is not part of a full scale traffic model. It describes what data can be obtained from the census and how it can be used to build a gravity model. How this approach has been used. Presented general approach is applicable to Smart Cities and Smart Regions in cases, where a comprehensive transport model is not available and where it is necessary to get a quick overview of the significance of individual transport relationships.","PeriodicalId":221091,"journal":{"name":"2022 Smart City Symposium Prague (SCSP)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126735245","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
Vertical farms and smart cities – identification of common research areas, Tungsram’s experience and vision in Central Europe 垂直农场和智慧城市——共同研究领域的确定，Tungsram在中欧的经验和愿景
2022 Smart City Symposium Prague (SCSP) Pub Date : 2022-05-26 DOI: 10.1109/scsp54748.2022.9792542
György Ágoston, Ferenc Pongrácz, K. Horváth, Zsolt Bukodi
{"title":"Vertical farms and smart cities – identification of common research areas, Tungsram’s experience and vision in Central Europe","authors":"György Ágoston, Ferenc Pongrácz, K. Horváth, Zsolt Bukodi","doi":"10.1109/scsp54748.2022.9792542","DOIUrl":"https://doi.org/10.1109/scsp54748.2022.9792542","url":null,"abstract":"The scientific research of controlled-environment agriculture (CEA) began primarily with the examinations of indoor agricultural technology and vertical farming, including technical and IT aspects, as well as food security questions. In this paper, we analyze the impact of vertical farming on smart cities and identify new areas for research based on the empirical experiences gained in the R&D vertical farm of Tungsram in Budapest.","PeriodicalId":221091,"journal":{"name":"2022 Smart City Symposium Prague (SCSP)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128908444","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
Effective communication as a necessary part of rainwater management: Exploring the practice of Czech municipalities 有效的沟通是雨水管理的必要组成部分:探索捷克市政当局的实践
2022 Smart City Symposium Prague (SCSP) Pub Date : 2022-05-26 DOI: 10.1109/scsp54748.2022.9792563
J. Machač, M. Hekrle, N. Stankova, L. Povolná
{"title":"Effective communication as a necessary part of rainwater management: Exploring the practice of Czech municipalities","authors":"J. Machač, M. Hekrle, N. Stankova, L. Povolná","doi":"10.1109/scsp54748.2022.9792563","DOIUrl":"https://doi.org/10.1109/scsp54748.2022.9792563","url":null,"abstract":"Municipality representatives in Czech cities are increasingly aware of the need to implement measures to adapt cities to climate change. Rainwater management is one pillar in national and local strategies; however, the measures are still not implemented in sufficient quantity and quality. Low enforceability is the result of low public awareness of measures and insufficient communication on the part of both state and municipalities. Besides the low capacity of local authorities to communicate these topics, the cities face little response and lack of interest from residents. In many cases, this is caused by inappropriate choice of communication and participation tools and methods. Based on examples of good practice identified by semi-structured interviews from six Czech cities, however, it is possible to achieve effective communication, for instance by means of annual local participatory meetings with residents, involving independent experts or implementation of online tools to easily share information and to discuss and propose measures and options.","PeriodicalId":221091,"journal":{"name":"2022 Smart City Symposium Prague (SCSP)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127423972","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
Protection of personal data in autonomous vehicles and its data categorization 自动驾驶汽车中个人数据的保护及其数据分类
2022 Smart City Symposium Prague (SCSP) Pub Date : 2022-05-26 DOI: 10.1109/scsp54748.2022.9792557
Michal Mlada, R. Holy, Jakub Jirovsky, Tomas Kasalicky
{"title":"Protection of personal data in autonomous vehicles and its data categorization","authors":"Michal Mlada, R. Holy, Jakub Jirovsky, Tomas Kasalicky","doi":"10.1109/scsp54748.2022.9792557","DOIUrl":"https://doi.org/10.1109/scsp54748.2022.9792557","url":null,"abstract":"In the last ten years, autonomous vehicles have proved to be one of the major themes for smart mobility and a vision for the future. The possibilities of autonomous vehicle control are gradually being discussed, as we move from driving assistance systems through occasional vehicle control to fully automated driving without driver intervention.Currently developed autonomous systems work on the principle of recording and processing of a large amount of information from sensors and taken from other entities. Such recorded data may be of a technical nature, but may also be categorized as personal data. If personal data is handled improperly, there is a potential threat of misuse, resulting in a breach of the digital privacy of individuals and the General Data Protection Regulation (GDPR) valid in the European Union. Sensitive and systematic handling of personal data is crucial not only for reasons of GDPR regulations but also for conformity of users of autonomous vehicles and thus the trouble-free development of autonomous vehicles and use in the future.The aim of the presented article is to outline the functioning and use of data in autonomous systems and their basic elements. The next part focuses on the processing of data from autonomous vehicles, their categorization and evaluation in terms of potential severity for security misuse. The article contains an analysis and description of individual elements of autonomous systems and the development of elements of autonomous vehicles from the point of view of the application of privacy protection.The primary target is to address the issues of privacy rights from the development by the manufacturer of autonomous systems. With this target in mind, the article also comes with measures and steps that need to be taken to successfully secure the personal data of data subjects involved within these autonomous systems in general.","PeriodicalId":221091,"journal":{"name":"2022 Smart City Symposium Prague (SCSP)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114628105","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
Does PM10 influence the prediction of PM2.5? PM10会影响PM2.5的预测吗?
2022 Smart City Symposium Prague (SCSP) Pub Date : 2022-05-26 DOI: 10.1109/scsp54748.2022.9792544
Rashmi Choudhary, Amit Agarwal
{"title":"Does PM10 influence the prediction of PM2.5?","authors":"Rashmi Choudhary, Amit Agarwal","doi":"10.1109/scsp54748.2022.9792544","DOIUrl":"https://doi.org/10.1109/scsp54748.2022.9792544","url":null,"abstract":"Urbanization has led to a sharp increase in exposure to air pollutants in developing regions & the New Delhi capital of India is no exception to it. This paper proposes an approach where the Delhi region is divided into hexagonal bins of different sizes. Then the spatial interpolation is performed using Inverse distance weighting for pollutants and Ordinary Kriging for the meteorological parameters at the centroid of each bin. A hybrid deep learning architecture developed using convolutional neural network, and long short term memory is used for multivariate time series regression and prediction for PM2.5. Two different models are developed, one considering PM10 as a predictor variable and another without considering PM10. The results from both models are compared using various performance matrices, and experimental predicted results show that it improves prediction performance when PM10 is taken into account.","PeriodicalId":221091,"journal":{"name":"2022 Smart City Symposium Prague (SCSP)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128290622","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
Validation of EDR Data for the Purpose of the Forensic Expertise 为法医鉴定目的而验证EDR数据
2022 Smart City Symposium Prague (SCSP) Pub Date : 2022-05-26 DOI: 10.1109/scsp54748.2022.9792543
L. Nouzovský, T. Kohout, P. Vrtal, K. Kocián
{"title":"Validation of EDR Data for the Purpose of the Forensic Expertise","authors":"L. Nouzovský, T. Kohout, P. Vrtal, K. Kocián","doi":"10.1109/scsp54748.2022.9792543","DOIUrl":"https://doi.org/10.1109/scsp54748.2022.9792543","url":null,"abstract":"The contribution presents selected results of impact tests, based on which a comparison was made between data obtained from the EDR (Event Data Recorder) and data from an independent measuring device. The collection of data was carried out during crash tests from the years 2019 to 2020. The extraction of data recorded from different vehicle sensors was carried out using the CDR (Crash Data Retrieval) system. The aim of this paper is to focus on validating the functionality and usability of the CDR system and its outputs for forensic practice. This knowledge can help to gain significant pre-crash and post-crash information, the validity of which was verified in the presented tests by comparison with a reference independent measurement system. The comparison discussed post-crash car body acceleration, steering wheel angle, yaw rate and evaluation of pre-crash motion (e.g. driver steering intervention). The paper presents extended possibilities for accident analysis using obtained pre-collision data that were not used in the past.","PeriodicalId":221091,"journal":{"name":"2022 Smart City Symposium Prague (SCSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130447489","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
Model Implementation of the Algorithm for Price-Based Dynamic Parking Regulation 基于价格的动态停车调控算法的模型实现
2022 Smart City Symposium Prague (SCSP) Pub Date : 2022-05-26 DOI: 10.1109/scsp54748.2022.9792568
K. Navrátilová, David Lehet
{"title":"Model Implementation of the Algorithm for Price-Based Dynamic Parking Regulation","authors":"K. Navrátilová, David Lehet","doi":"10.1109/scsp54748.2022.9792568","DOIUrl":"https://doi.org/10.1109/scsp54748.2022.9792568","url":null,"abstract":"The simplest method of regulating on-street parking (in the cities) is a tariff regulation plan, changing the price of parking usually requires the least amount of money spent and is not contingent on the introduction of new technologies. Getting it right leads to a redistribution of demand and an important aspect is the relative price levels for off-street and on-street parking.The paper deals with the design of an algorithm for dynamic on-street parking control. It describes the process and results of a model implementation of the algorithm in a selected area. The proposed algorithm is intended primarily for cities or larger municipalities where parking regulation becomes a necessity and operates on the principle of real-time parking price adjustment.In conclusion, the possibilities of implementing the algorithm in real operation are evaluated and the possibility of further development and future research is outlined.","PeriodicalId":221091,"journal":{"name":"2022 Smart City Symposium Prague (SCSP)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115055761","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
ANPR data as a key source of traffic behavior information ANPR数据是交通行为信息的重要来源
2022 Smart City Symposium Prague (SCSP) Pub Date : 2022-05-26 DOI: 10.1109/scsp54748.2022.9792569
P. Richter, P. Kumpošt
{"title":"ANPR data as a key source of traffic behavior information","authors":"P. Richter, P. Kumpošt","doi":"10.1109/scsp54748.2022.9792569","DOIUrl":"https://doi.org/10.1109/scsp54748.2022.9792569","url":null,"abstract":"The concept of smart cities is based on the collection, evaluation, and use of specific data. The automatic number plate detection system provides information on the spatiotemporal presence of vehicles in the monitored area. This information allows us to study driver behavior and quantify traffic volumes in larger territorial units. This paper works with test tasks that outline the use of ANPR data for studying traffic behavior and its subsequent use for traffic engineering applications.","PeriodicalId":221091,"journal":{"name":"2022 Smart City Symposium Prague (SCSP)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117251655","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
Tools for Mobility Analysis: What are the challenges and solutions for planning and operations of mobility services? 移动性分析工具:移动性服务规划和运营的挑战和解决方案是什么?
2022 Smart City Symposium Prague (SCSP) Pub Date : 2022-05-26 DOI: 10.1109/scsp54748.2022.9792558
André Maia Pereira, Magdalena Hykšová, O. Přibyl, S. Maerivoet, Rick Overvoorde, V. Paruscio, Chrysostomos Mylonas, Carola Vega, Pablo Recolons, C. Covelli, Eli Nomes
{"title":"Tools for Mobility Analysis: What are the challenges and solutions for planning and operations of mobility services?","authors":"André Maia Pereira, Magdalena Hykšová, O. Přibyl, S. Maerivoet, Rick Overvoorde, V. Paruscio, Chrysostomos Mylonas, Carola Vega, Pablo Recolons, C. Covelli, Eli Nomes","doi":"10.1109/scsp54748.2022.9792558","DOIUrl":"https://doi.org/10.1109/scsp54748.2022.9792558","url":null,"abstract":"The paper presents a new data model linking the key terms within the mobility filed to show the flexible multidimensional relations among them, reflecting new trends and needs and following the service-oriented approach. Moreover, it provides a summary of the state-of-the-art assessment of mobility analysis for selected mobility services.","PeriodicalId":221091,"journal":{"name":"2022 Smart City Symposium Prague (SCSP)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125249256","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
Numerical estimation of travel mode preferences for agents in agent-based simulations 基于agent的仿真中agent出行方式偏好的数值估计
2022 Smart City Symposium Prague (SCSP) Pub Date : 2022-05-26 DOI: 10.1109/scsp54748.2022.9792570
Sinziana I. Rasca
{"title":"Numerical estimation of travel mode preferences for agents in agent-based simulations","authors":"Sinziana I. Rasca","doi":"10.1109/scsp54748.2022.9792570","DOIUrl":"https://doi.org/10.1109/scsp54748.2022.9792570","url":null,"abstract":"Passenger flows predictions or forecasting are a critical element in the planning, dimensioning, and operating of transport systems. Agent-based simulation models are the first models that forecast travel behavior based on a mix of data that includes both behavior patterns and daily schedules of individual users in the prediction algorithms, plus an element of randomness. Nevertheless, agent-based simulation models only use quantitative data to design the profile of the agents. Researchers agree that qualitative, experiential, and consultative methods are critical to transport and urban planning. Therefore, we propose a simple methodology that can support a numerical estimation of the preference for different modal choices of an archetypal user. The estimation is done based on existing travel behavior data and can provide input for updating agent profiles used in agent-based simulations in the field of passenger transport. The results of our study suggest that the proposed methodology is accurate in estimating the travel mode preference of predefined persona profiles and translating it into a numerical format. Our findings set a solid base for bridging persona generation models, based on a mix of quantitative and qualitative data, with defining agent profiles and rules for agent-based simulations for the field of passenger transport.","PeriodicalId":221091,"journal":{"name":"2022 Smart City Symposium Prague (SCSP)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116772477","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
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