scholarly journals Parking Places to Moped-Style Scooter Sharing Services Using GIS Location-Allocation Models and GPS Data

2021 ◽  
Vol 10 (4) ◽  
pp. 230
Author(s):  
Onel Pérez-Fernández ◽  
Juan Carlos García-Palomares
Keyword(s):  
Global Positioning System ◽  
Catchment Area ◽  
Public Spaces ◽  
Gps Data ◽  
Positioning System ◽  
Urban Centers ◽  
Location Allocation ◽  
Global Positioning ◽  
The City

Moped-style scooters are one of the most popular systems of micro-mobility. They are undoubtedly good for the city, as they promote forms of environmentally-friendly mobility, in which flexibility helps prevent traffic build-up in the urban centers where they operate. However, their increasing numbers are also generating conflicts as a result of the bad behavior of users, their unwarranted use in public spaces, and above all their parking. This paper proposes a methodology for finding parking spaces for shared motorcycle services using Geographic information system (GIS) location-allocation models and Global Positioning System (GPS) data. We used the center of Madrid and data from the company Muving (one of the city’s main operators) for our case study. As well as finding the location of parking spaces for motorbikes, our analysis examines how the varying distribution of demand over the course of the day affects the demand allocated to parking spaces. The results demonstrate how reserving a relatively small number of parking spaces for scooters makes it possible to capture over 70% of journeys in the catchment area. The daily variations in the distribution of demand slightly reduce the efficiency of the network of parking spaces in the morning and increase it at night, when demand is strongly focused on the most central areas.

scholarly journals CONTRIBUIÇÃO À COMPREENSÃO DO CAMPO TÉRMICO DA CIDADE DE JUAZEIRO DO NORTE (CE) PELA METODOLOGIA DE TRANSECTOS MÓVEIS

2019 ◽  
Vol 21 (2) ◽  
pp. 1363-1373
Author(s):  
Gabriella Saraiva de Albuquerque ◽  
Mirelle Oliveira Silva ◽  
Gabriela De Souza Estevão
Keyword(s):  
Global Positioning System ◽  
Spatial Modeling ◽  
Urban Climate ◽  
Positioning System ◽  
The North ◽  
Regional University ◽  
Global Positioning ◽  
Receiver Model ◽  
The City ◽  
Study Plan

O presente trabalho, está vinculado a um projeto de iniciação científica desenvolvido junto ao Laboratório de Geoprocessamento da Universidade Regional do Cariri que tem como temática a modelagem espacial das ilhas de calor e de frescor na cidade de Juazeiro do Norte, Ceará, Brasil. Os resultados apresentados foram obtidos através do primeiro campo do referido projeto de pesquisa e foi realizado por meio da metodologia de transecto móvel, contemplando os trajetos na direção sul-norte e oeste-leste para a coleta dos dados de temperatura do ar, com o intuito de compreender os contrastes térmicos da cidade de Juazeiro do Norte. O transecto fora realizado ainda no período chuvoso e iniciou-se às 21:00 horas, não ultrapassando 50 minutos, coletando no total a temperatura de 25  pontos distribuídos no perímetro urbano e considerando as características geoeambientais e geourbanas. Os registros foram executados utilizando um termômetro digital com sensor externo com cabo de 2m Icotem e um receptor GPS (Global Positioning System) modelo Garmin Map 76CSX para marcação das coordenadas UTM dos respectivos registros de temperatura. As maiores temperaturas, de 24,8ºC á 25,8ºC foram registradas em espaços densamente construídos, as menores, entre 22,6ºC á 23ºC foram percebidas em áreas com características rurais e menos urbanizadas.Palavras-chave: Ilha de calor. Clima urbano. Transecto Móvel.                                                                   ABSTRACTThe present work is linked to a project of scientific initiation, together with the Laboratory of Geoprocessing of the Regional University of Cariri, whose theme is the spatial modeling of the islands of heat and freshness in the city of Juazeiro do Norte, Ceará, Brazil. The results of the research were submitted through the mapping of the first study plan south-north and east-east to the collection of data of air temperature, with the intention. Of contracting the thermal contrasts of the city of Juazeiro of the North. The transectofor theater was still rainy and began at 21:00 hours, not exceeding 50 minutes, collecting in total the temperature of 25 points distributed in the urban perimeter and considering geo-environmental and georban features. The terminals were run using a digital thermometer with external sensor with 2m Icotem cable and a GPS (Global Positioning System) receiver model Garmin Map 76CSX for marking the UTM coordinates of the children temperature registers. The highest temperatures, from 24.8ºC to 25.8ºC were recorded in densely constructed spaces, the lowest temperatures, between 22.6ºC and 23ºC, were observed in areas with rural and less urbanized characteristics.Keywords: Island of heat. Urban climate. Transect Mobile. RESUMENEste trabajo está vinculado a un proyecto de iniciación científica desarrollado en el Laboratorio de Geoprocesamiento de la Universidad Regional de Cariri, cuyo tema es el modelado espacial de las islas de calor y frescura en la ciudad de Juazeiro do Norte, Ceará, Brasil. Los resultados presentados se obtuvieron del primer campo de este proyecto de investigación y se llevaron a cabo mediante la metodología de transecto móvil, contemplando las rutas sur-norte y oeste-este para la recolección de datos de temperatura del aire, con el fin de para comprender los contrastes térmicos de la ciudad de Juazeiro do Norte. El transecto se realizó durante la estación lluviosa y comenzó a las 21:00 horas, sin exceder los 50 minutos, recogiendo una temperatura total de 25 puntos distribuidos en el perímetro urbano y considerando las características geoambientales y geourban. Las grabaciones se realizaron utilizando un termómetro digital con sensor externo con cable Icotem de 2 m y un receptor del Sistema de Posicionamiento Global (GPS) Garmin Map 76CSX para marcar las coordenadas UTM de los respectivos registros de temperatura. Las temperaturas más altas, de 24.8ºC a 25.8ºC, se registraron en espacios densamente construidos, la más baja, entre 22.6ºC a 23ºC, se observó en áreas con características rurales y menos urbanizadas.Palabras clave: isla de calor. Clima urbano. Transecto móvil.

scholarly journals Concurrent Measurement of Global Positioning System and Event-Based Physical Activity Data: A Methodological Framework for Integration

2020 ◽  
pp. 1-14
Author(s):  
Anna M.J. Iveson ◽  
Malcolm H. Granat ◽  
Brian M. Ellis ◽  
Philippa M. Dall
Keyword(s):  
Physical Activity ◽  
Outcome Measures ◽  
Global Positioning System ◽  
Gps Data ◽  
Positioning System ◽  
Activity Data ◽  
Data Set ◽  
Physical Activity Data ◽  
Global Positioning ◽  
Event Based

Objective: Global positioning system (GPS) data can add context to physical activity data and have previously been integrated with epoch-based physical activity data. The current study aimed to develop a framework for integrating GPS data and event-based physical activity data (suitable for assessing patterns of behavior). Methods: A convenience data set of concurrent GPS (AMOD) and physical activity (activPAL) data were collected from 69 adults. The GPS data were (semi)regularly sampled every 5 s. The physical activity data output was presented as walking events, which are continuous periods of walking with a time-stamped start time and duration (to nearest 0.1 s). The GPS outcome measures and the potential correspondence of their timing with walking events were identified and a framework was developed describing data integration for each combination of GPS outcome and walking event correspondence. Results: The GPS outcome measures were categorized as those deriving from a single GPS point (e.g., location) or from the difference between successive GPS points (e.g., distance), and could be categorical, scale, or rate outcomes. Walking events were categorized as having zero (13% of walking events, 3% of walking duration), or one or more (52% of walking events, 75% of walking duration) GPS points occurring during the event. Additionally, some walking events did not have GPS points suitably close to allow calculation of outcome measures (31% of walking events, 22% of walking duration). The framework required different integration approaches for each GPS outcome type, and walking events containing zero or more than one GPS points.

scholarly journals An autonomous navigational system using GPS and computer vision for futuristic road traffic

2022 ◽  
Vol 12 (1) ◽  
pp. 179
Author(s):  
Prabha Ramasamy ◽  
Mohan Kabadi
Keyword(s):  
Computer Vision ◽  
Global Positioning System ◽  
Navigation System ◽  
Autonomous Navigation ◽  
Road Traffic ◽  
Positioning System ◽  
Traffic System ◽  
Global Positioning ◽  
Navigational System

Navigational service is one of the most essential dependency towards any transport system and at present, there are various revolutionary approaches that has contributed towards its improvement. This paper has reviewed the global positioning system (GPS) and computer vision based navigational system and found that there is a large gap between the actual demand of navigation and what currently exists. Therefore, the proposed study discusses about a novel framework of an autonomous navigation system that uses GPS as well as computer vision considering the case study of futuristic road traffic system. An analytical model is built up where the geo-referenced data from GPS is integrated with the signals captured from the visual sensors are considered to implement this concept. The simulated outcome of the study shows that proposed study offers enhanced accuracy as well as faster processing in contrast to existing approaches.

scholarly journals Destination Estimation for Bus Passengers Based on Data Fusion

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Wusheng Liu ◽  
Qian Tan ◽  
Lisheng Liu
Keyword(s):  
Global Positioning System ◽  
Positioning System ◽  
Time Varying ◽  
Estimation Result ◽  
Bus Stop ◽  
Simulation Based ◽  
Global Positioning ◽  
Novel Method ◽  
Planning And Operation

The planning and operation of urban buses depend heavily on the time-varying origin-destination (OD) matrix for bus passengers. In most cities, however, only boarding information is recorded, while the alighting information is not available. This paper proposes a novel method to predict the destination of a single bus passenger based on bus smartcard data, metro smartcard data, and global positioning system (GPS) bus data. First, the attractiveness of each bus stop in a bus line was evaluated, considering the attractiveness of nearby metro stations. Then, the exploration and preferential return (EPR) model was employed to estimate the probability of a bus stop to be the alighting stop, i.e., the destination, of a passenger. The estimation result was obtained through a simulation based on the Monte Carlo (MC) algorithm. The effectiveness of our method was proved through a case study on the bus network in Shenzhen, China.

Subsidence is determined in the heart of the Central Valley using Post Processed Static and Precise Point Positioning techniques

2020 ◽  
Vol 14 (1) ◽  
pp. 113-118 ◽  
Author(s):  
Y. Facio ◽  
M. Berber
Keyword(s):  
Data Processing ◽  
Global Positioning System ◽  
Precise Point Positioning ◽  
Central Valley ◽  
Gps Data ◽  
Positioning System ◽  
Online Services ◽  
Global Positioning ◽  
System Data ◽  
Point Positioning

AbstractPost Processed Static (PPS) and Precise Point Positioning (PPP) techniques are not new; however, they have been refined over the decades. As such, today these techniques are offered online via GPS (Global Positioning System) data processing services. In this study, one Post Processed Static (OPUS) and one Precise Point Positioning (CSRS-PPP) technique is used to process 24 h GPS data for a CORS (Continuously Operating Reference Stations) station (P565) duration of year 2016. By analyzing the results sent by these two online services, subsidence is determined for the location of CORS station, P565, as 3–4 cm for the entire year of 2016. In addition, precision of these two techniques is determined as ∼2 cm. Accuracy of PPS and PPP results is 0.46 cm and 1.21 cm, respectively. Additionally, these two techniques are compared and variations between them is determined as 2.5 cm.

Variations of the Precipitation Water Vapor by Using GPS Data Triggered Raining in the Summer of Thailand

2015 ◽  
Vol 804 ◽  
pp. 279-282
Author(s):  
Nithiwatthn Choosakul
Keyword(s):  
Water Vapor ◽  
Global Positioning System ◽  
Gps Data ◽  
Positioning System ◽  
Global Positioning ◽  
Precipitation Water ◽  
High Level

The variation of water vapor can be detected from the Global Positioning System (GPS) data. The GPS signal was delayed when propagated through the wet atmosphere. The delayed signal can be retrieved into Precipitation Water Vapor (PWV) data. The GPS data of CUSV station from 2009 to 2012 were used in this research. The results showed that the PWV varied during the summer of Thailand. The PWV were slightly increased from 20 mm at the beginning of the season to 40 mm at the end of season. The increased PWV data were shown as linear line. A slope of the linear line may relate with the amount of the cumulative rain in the season. The steeper line might relate to the great number of raining in the end of the season, otherwise, the fairly gradual line might relate to the raining at any time in the season. The high level of PWV up to around 33 mm could induce the rain in the summer of Thailand.

scholarly journals Quantification of the Accuracy of Low Priced GPS Receivers for Crash Location

2010 ◽  
Author(s):  
Thobias Sando ◽  
Renatus Mussa ◽  
John Sobanjo ◽  
Lisa Spainhour
Keyword(s):  
Global Positioning System ◽  
Time Of Day ◽  
Gps Data ◽  
Positioning System ◽  
Gps Receiver ◽  
Accuracy Improvement ◽  
Gps Receivers ◽  
Location Data ◽  
Global Positioning ◽  
Potential Tool

Global positioning system (GPS) has been identified as a potential tool for capturing crash location data. This study quantifies factors that could affect the accuracy of GPS receivers. The results showed that GPS receiver orientation, site obstructions, and weather have significant effects on the accuracy of GPS receivers. Time of day and number of satellites were not found to significantly affect the accuracy of GPS receivers. HDOP values of 1.2 or less were found to be adequate for crash location purposes. An accuracy improvement of 20.7% was realized by filtering GPS data based on HDOP values.

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