scholarly journals Floating Car Data Technology

Pomorstvo ◽  
2019 ◽  
Vol 33 (1) ◽  
pp. 22-32
Author(s):  
Damir Budimir ◽  
Niko Jelušić ◽  
Mile Perić
Keyword(s):  
Data Collection ◽  
Traffic Flow ◽  
Information Provision ◽  
Satellite System ◽  
Geographical Information ◽  
Sustainable Mobility ◽  
Professional Literature ◽  
Floating Car Data ◽  
Real Time Traffic ◽  
Probe Vehicle

The limiting conditions of traffic in cities, together with the complex and dynamic traffic flows, require an efficient and systematic management and information provision for the traffic participants, with the goal to achieve better utilisation of traffic resources and preserve sustainable mobility. In that context, it is important to identify the traffic flow location features, which requires data and information. This paper presents the application of mobile vehicles for the collection of real time traffic flow data. Such data have become an important source of traffic data, since they can be collected in a simple and cost-efficient way, enabling higher coverage than the conventional approaches, despite the reliability issues. The term referring to that type of data collection, commonly used in scientific and professional literature is FCD (Floating Car Data) and “Probe vehicle”. The efficiency presentation of applying this extensive data source for retrieving necessary parameters and information related to the achievement of sustainable mobility is the final objective of this paper. A description of modern technologies that serve as a basis for probe vehicle data collection has been provided: a geographical information system (GIS), global navigation satellite system (GNSS) and related wireless communication. Within the key technologies review, the development possibilities of data collection by mobile sensors have also been presented.

scholarly journals Traffic and Energy Consumption Modelling of Electric Vehicles: Parameter Updating from Floating and Probe Vehicle Data

Energies ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 82
Author(s):  
Antonello Ignazio Croce ◽  
Giuseppe Musolino ◽  
Corrado Rindone ◽  
Antonino Vitetta
Keyword(s):  
Energy Consumption ◽  
Traffic Flow ◽  
Electric Vehicles ◽  
Internal Combustion Engines ◽  
Flow Models ◽  
Floating Car Data ◽  
Probe Vehicle ◽  
Vehicle Data ◽  
Regional Area ◽  
Traffic Flow Models

This paper focuses on the estimation of energy consumption of Electric Vehicles (EVs) by means of models derived from traffic flow theory and vehicle locomotion laws. In particular, it proposes a bi-level procedure with the aim to calibrate (or update) the whole parameters of traffic flow models and energy consumption laws by means of Floating Car Data (FCD) and probe vehicle data. The reported models may be part of a procedure for designing and planning transport and energy systems. This aim is to verify if, and in what amount, the existing parameters of the resistances/energy consumptions model calibrated in the literature for Internal Combustion Engines Vehicles (ICEVs) change for EVs, considering the above circular dependency between supply, demand, and supply–demand interaction. The final results concern updated parameters to be used for eco-driving and eco-routing applications for design and a planning transport system adopting a multidisciplinary approach. The focus of this manuscript is on the transport area. Experimental data concern vehicular data extracted from traffic (floating car data and probe vehicle data) and energy consumption data measured for equipped EVs performing trips inside a sub-regional area, located in the Città Metropolitana of Reggio Calabria (Italy). The results of the calibration process are encouraging, as they allow for updating parameters related to energy consumption and energy recovered in terms of EVs obtained from data observed in real conditions. The latter term is relevant in EVs, particularly on urban routes where drivers experience unstable traffic conditions.

Determinan Kejadian Stunting Pada Balita Di Kabupaten Gianyar Bali

2020 ◽  
Vol 10 (2) ◽  
Author(s):  
Hesteria Friska Armynia Subratha ◽  
Ni Made Indra Peratiwi
Keyword(s):  
Data Collection ◽  
Service Providers ◽  
Information Provision ◽  
Pilot Project ◽  
Z Score ◽  
Enabling Factors ◽  
Analysis Process ◽  
Health Service Providers ◽  
Reinforcing Factors ◽  
Qualitative Descriptive

ABSTRAKPenurunan prevalensi stunting balita merupakan tujuan yang pertama dari enam tujuan dalam Target Nutrisi Global untuk tahun 2025. Program pemerintah dalam penanggulangan masalah gizi pada balita sudah cukup banyak dan terstruktur. Namun, pada kenyataannya kasus kejadian balita stunting masih banyak dijumpai. Pada Kabupaten Gianyar terdapat 22,2% balita stunting, dan merupakan salah satu kabupaten yang menjadi pilot project penanganan stunting di Indonesia.Penelitian ini bertujuan untuk mengetahui secara mendalam determinan kejadian stunting pada balita di Kabupaten Gianyar, Bali  ditinjau dari faktor presdiposisi, faktor pemungkin dan faktor penguat. Penelitian deskriptif kualitatif ini menggunakan metode pengumpulan data observasi dan wawancara mendalam. Pengumpulan data dilaksanakan pada Bulan Mei-Juni 2020. Subyek penelitian ini adalah 8 pengasuh balita (usia 6-60 bulan) dan balita (usia 6-60 bulan) yang memiliki z-score TB/U di bawah -2SD di Kabupaten Gianyar. Proses analisis data menggunakan analisis data tematik.Hasil penelitian menunjukkan bahwa faktor yang berhubungan dengan kejadian stunting adalah adalah faktor pendorong (pengetahuan ibu, pemberian ASI Eksklusif), faktor pemungkin (ketersediaan dana, ketersediaan pangan keluarga), faktor penguat (dukungan keluarga).Semua petugas kesehatan agar memberikan informasi yang memadai mengenai pentingnya gizi pada balita sedini mungkin. Pemberian informasi dapat diberikan melalui penyuluhan kepada remaja, ibu-ibu selama hamil, nifas dan saat menyusui sewaktu ibu kunjungan ANC, mengikuti kelas ibu hamil, datang ke pusling, dan pada waktu ibu berkunjung ke posyandu. Kata Kunci       : Determinan, Stunting, Gianyar  ABSTRACTDecreasing the children stunting prevelence is the first of the sixth 2005 Global Nutrition Target goals. There were a lot and structured government prevention program regarding to the infants nutritional problems. However, in fact,  there were still found 22,2% infants stunting problems in Gianyar Regency. It was one of regencies that become a pilot project of stunting  countermeasures in Indonesia.This study aimed to determine the Gianyar Regency inftants stunting determinants in terms of precipitating factors, enabling factors and reinforcing factors. This was qualitative descriptive research with observation and in-depth interviews applied as and the data collection methods. Data collection was carried out over May-June 2020. The subjects of this research were 8 infant’s caregivers (6-60 months old) and infants (6-60 months old) who had a TB / U z-score below -2SD in Gianyar Regency. The data analysis process applied thematic data analysis.The results found that the factors associated with stunting occurrence were predisposing factors (knowledge, exclusive breastfeeding), enabling factors (funds availability, family food availability) and reinforcing factors (family support).All health service providers should provide adequate information as early as possible about the nutrition importance for infants. Information provision could be given by counseling to adolescents, mothers during pregnancy, childbirth and while breastfeeding on ANC mothers visit, attend pregnancy classes, visitting clinic and when mothers visit the Integrated Healthcare Center. Keywords         : Determinants, Stunting, Gianyar

Forecasting Model of Short-Term Traffic Flow Based on Cloud Model

2011 ◽  
Vol 94-96 ◽  
pp. 38-42
Author(s):  
Qin Liu ◽  
Jian Min Xu
Keyword(s):  
Real Time ◽  
Traffic Flow ◽  
Cloud Model ◽  
Prediction Method ◽  
Absolute Error ◽  
Short Term ◽  
Guangzhou City ◽  
Time Prediction ◽  
Real Time Traffic ◽  
Absolute Percent Error

In order to improve the prediction precision of the short-term traffic flow, a prediction method of short-term traffic flow based on cloud model was proposed. The traffic flow was fit by cloud model. The history cloud and the present cloud were built by historical traffic flow and present traffic flow. The forecast cloud is produced by both clouds. Then, combining with the volume of the short-term traffic flow of an intersection in Guangzhou City, the model was calculated and simulated through programming. Max Absolute Error (MAE) and Mean Absolute percent Error (MAPE) were used to estimate the effect of prediction. The simulation results indicate that this prediction method is effective and advanced. The change of the historical and real time traffic flow is taken into account in this method. Because the short-term traffic flow is dealt with as a whole, the error of prediction is avoided. The prediction precision and real-time prediction are satisfied.

Traffic Flow Data Collection and Signal Control System Based on Internet of Things and Cloud Computing

2013 ◽  
Vol 846-847 ◽  
pp. 1608-1611 ◽  
Author(s):  
Hui Jie Ding
Keyword(s):  
Cloud Computing ◽  
Control System ◽  
Data Collection ◽  
Internet Of Things ◽  
Traffic Flow ◽  
Signal Control ◽  
Traffic Signal Control ◽  
Flow Data ◽  
Traffic Jam ◽  
Sensing Data

As more and more cars are in service, the traffic jam becomes a serious problem in our society. At the same time, more and more sensors make the cars more and more intelligent, and this promotes the development of Internet of things. Real time monitoring the cars will produce massive sensing data, the Cloud computing gives us a good manner to solve this problem. In this paper, we propose a traffic flow data collection and traffic signal control system based on Internet of things and the Cloud computing. The proposed system contains two main parts, sensing data collection and traffic status control subsystem.

A Geostatistical Approach to Traffic Flow Reconstruction from Sparse Floating-Car Data

2020 ◽  
pp. 441-447
Author(s):  
Eduardo del Arco ◽  
Mihaela I. Chidean ◽  
Inmaculada Mora-Jiménez ◽  
Samer H. Hamdar ◽  
Antonio J. Caamaño
Keyword(s):  
Traffic Flow ◽  
Floating Car Data ◽  
Flow Reconstruction ◽  
Geostatistical Approach

scholarly journals A Web GIS-Based Platform to Harvest Georeferenced Data from Social Networks: Examples of Data Collection Regarding Disaster Events

2018 ◽  
Vol 14 (02) ◽  
pp. 165 ◽  
Author(s):  
Cidália Costa Fonte ◽  
Diogo Fontes ◽  
Alberto Cardoso
Keyword(s):  
Social Networks ◽  
Data Collection ◽  
Emergency Response ◽  
Web Gis ◽  
Geographical Information ◽  
Civil Protection ◽  
Physical Sensors ◽  
Access To Data ◽  
Programming Interface ◽  
Fast Access

Whenever disaster situations occur the civil protection authorities need to have fast access to data that may help to plan emergency response. To contribute to the collection and integration of all available data a platform that aims to harvest Volunteered Geographical Information (VGI) from social networks and collaborative projects was created. This enables the integration of VGI with data coming from other sources, such as data collected by physical sensors in real time and made available through Applications Programming Interface (APIs), as well as, for example, official maps. The architecture of the created platform is described and its first prototype presented. Some example queries are performed and the results are analyzed.

scholarly journals An e-Prehabilitation System of Care for Teenagers and Young Adults Diagnosed With Cancer: Protocol for a Qualitative Co-Design Study (Preprint)

2018 ◽  
Author(s):  
Lisa McCann ◽  
Kathryn A McMillan ◽  
Christopher Hewitt
Keyword(s):  
Health Care ◽  
Young Adults ◽  
Data Collection ◽  
Health Care Professionals ◽  
Information Provision ◽  
System Of Care ◽  
Design Study ◽  
Care Experience ◽  
Accessible Information ◽  
Teenagers And Young Adults

BACKGROUND A diagnosis of cancer in young adulthood can pose many different and unique challenges for individuals. The provision of adequate and appropriate information as well as care and support for teenagers and young adults at the time of diagnosis is central to their health care experience going forward. Moreover, appropriate and accessible information provision is critical to ensure that young individuals with cancer feel equipped and empowered to make decisions about, and be involved in, their treatment and recovery throughout their experience; this is a concept known as prehabilitation. As digital interventions and resources that support teenagers and young adults with cancer are an increasingly desirable part of health care provision, this study will focus on the development of an age- and population-appropriate electronic prehabilitation (e-Prehabilitation) system of care. OBJECTIVE We will conduct an exploratory, co-design research project that will inform the development of an e-Prehabilitation system of care to support teenagers and young adults diagnosed with cancer. A collaborative approach to data collection and prototype design will ensure that a patient-centered approach is embedded throughout. METHODS A qualitative, co-design study utilizing surveys, interviews, and focus group discussions is being conducted with teenagers and young adults, health care professionals, and technologists. RESULTS This research study is in progress; recruitment and data collection activities have commenced and findings are expected in early 2019. CONCLUSIONS The findings of this study will have important implications for informing the future development and evaluation of an e-Prehabilitation system of care to support teenagers and young adults diagnosed with cancer. REGISTERED REPORT IDENTIFIER RR1-10.2196/10287

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