Estimating Pedestrian Densities, Wait Times, and Flows with Wi-Fi and Bluetooth Sensors

2017 ◽  
Vol 2644 (1) ◽  
pp. 72-82 ◽  
Author(s):  
Abdullah Kurkcu ◽  
Kaan Ozbay
Keyword(s):  
Data Collection ◽  
Mobile Devices ◽  
Public Transportation ◽  
Wireless Sensors ◽  
Low Cost ◽  
Wait Times ◽  
Wireless Data ◽  
Detection Zone ◽  
Or Groups ◽  
Monitoring Technologies

Monitoring nonmotorized traffic is gaining more attention in the context of transportation studies. Most of the traditional pedestrian monitoring technologies focus on counting pedestrians passing through a fixed location in the network. It is thus not possible to anonymously track the movement of individuals or groups as they move outside each particular sensor’s range. Moreover, most agencies do not have continuous pedestrian counts mainly because of technological limitations. Wireless data collection technologies, however, can capture crowd dynamics by scanning mobile devices. Data collection that takes advantage of mobile devices has gained much interest in the transportation literature as a result of its low cost, ease of implementation, and richness of the captured data. In this paper, algorithms to filter and aggregate data collected by wireless sensors are investigated, as well as how to fuse additional data sources to improve the estimation of various pedestrian-based performance measures. Procedures to accurately filter the noise in the collected data and to find pedestrian flows, wait times, and counts with wireless sensors are presented. The developed methods are applied to a 2-month-long collection of public transportation terminal data carried out with the use of six sensors. Results point out that if the penetration rate of discoverable devices is known, then it is possible to accurately estimate the number of pedestrians, pedestrian flows, and average wait times in the detection zone of the developed sensors.

scholarly journals Novel wireless sensors for in situ measurement of sub-ice hydrologic systems

2014 ◽  
Vol 55 (65) ◽  
pp. 41-50 ◽  
Author(s):  
E.A. Bagshaw ◽  
B. Lishman ◽  
J.L. Wadham ◽  
J.A. Bowden ◽  
S.G. Burrow ◽  
...  
Keyword(s):  
Wireless Sensors ◽  
Low Cost ◽  
Water Pressure ◽  
Greenland Ice Sheet ◽  
Field Testing ◽  
Wireless Data ◽  
Sensor Platforms ◽  
Hydrologic Systems ◽  
Drainage Channels

AbstractWireless sensors have the potential to provide significant insight into in situ physical and biogeochemical processes in sub-ice hydrologic systems. However, the nature of the glacial environment means that sensor deployment and data return is challenging. We describe two bespoke sensor platforms, electronic tracers or ‘ETracers’, and ‘cryoegg’, for untethered, wireless data collection from glacial hydrologic systems, including subglacial channels. Both employ radio frequencies for data transmission, are designed to endure harsh environmental conditions and can withstand low temperatures, high pressure, turbulence and abrasion. We discuss the design, optimization and field testing of the ETracers and cryoegg, culminating in test deployments beneath the Greenland ice sheet. The small, low-cost ETracers were able to travel through subglacial drainage channels, from where they returned water pressure measurements through 100 m of ice, and could measure water depth in crevasses. The larger cryoegg was able to return multi-parameter data from moulins through 500 m of wet ice to receivers up to 2 km away, and from 12 m depth in a proglacial lake to a receiver on the shore. The tests demonstrate that the cryoegg and ETracers are low-power, versatile, robust wireless sensor platforms suitable for glacial environments, which may be used with portable, low-cost receiving equipment.

Enriching Geographic Maps with Accessible Paths Derived from Implicit Mobile Device Data Collection

2017 ◽  
pp. 89-113
Author(s):  
Ludovico Biagi ◽  
Sara Comai ◽  
Raffaella Mangiarotti ◽  
Matteo Matteucci ◽  
Marco Negretti ◽  
...  
Keyword(s):  
Data Collection ◽  
Mobile Devices ◽  
Sensor Fusion ◽  
Mobile Device ◽  
Mobile Apps ◽  
Low Cost ◽  
Smart Phones ◽  
Gnss Receivers ◽  
Geographical Maps

The increasing use of technologies like smart phones and mobile apps enables people to be actively involved in collecting data that can be the base of useful services to the whole citizenship. In the realm of volunteer data collection, this chapter addresses the problem of mobility and accessibility limitations for vulnerable citizens in today's cities. The MEP (Maps for Easy Paths) project proposes a set of tools and mobile apps for the enrichment of geographical maps with information about accessibility of urban pedestrian pathways, targeted at people with mobility problems. Different issues are considered and discussed in this chapter, including: the problem of collecting data of a user's route and of reconstructing it with novel sensor fusion techniques; the problem of correcting the positions obtained from low-cost GNSS receivers of mobile devices; the need of usable and accessible applications for the fruition of the collected data suitable for the target users.

scholarly journals Uso de tecnologias livres na coleta de dados meteorológicos no campo

2020 ◽  
Vol 13 (3) ◽  
pp. 1368
Author(s):  
Celso Correia De Souza ◽  
Jiyan Yari ◽  
Jose Antonio Maior Bono ◽  
Raul Asseff Castelao
Keyword(s):  
Operating System ◽  
Comparative Analysis ◽  
Data Collection ◽  
Production Process ◽  
Mobile Devices ◽  
Meteorological Data ◽  
Low Cost ◽  
Developed Countries ◽  
Use Of Technology ◽  
Android Operating System

O uso de tecnologia no campo está se tornando muito comum nos países mais desenvolvidos, muito em função da competitividade e eficiência exigidos pelo agronegócio, no entanto, seu uso parece se aplicar mais em grandes propriedades agroepcuárias se distanciando de pequenos agricultores, que ainda não a incorporaram em seu processo produtivo. Teve-se por objetivo no presente trabalho criar um equipamento agrometeorológico portátil e de baixo custo utilizando o Arduino, um conjunto computacional com sensores e componentes para coleta de dados, e o Android, sistema operacional mais utilizado em dispositivos móveis na atualidade. Os resultados das coletas realizadas para o trabalho, em análise comparativa com equipamento profissional de centro meteorológico de uma universidade mostraram confiabilidade dos dados e, portanto, a viabilidade no uso das informações geradas podendo subsidiar tomadas de decisão do pequeno produtor em ações de planejamento.  Use of free technologies in the collection of meteorological data in the fieldA B S T R A C TThe use of technology in the field is becoming very common in most developed countries, largely because of the competitiveness and efficiency demanded by agribusiness, however, their use seems to apply more in large agriculture and livestock properties moving away from small farmers, who still They not incorporated in its production process. We had it intended in this work to create a portable agro-meteorological equipment and low cost using the Arduino, a computer set with sensors and components for data collection, and the Android operating system most used on mobile devices today. The results of the samples taken to work in comparative analysis with professional equipment meteorological center of a university showed reliability of the data and therefore the viability of the use of information generated could subsidize taken of the small farmer decision on action planning.Keywords: agribusiness, agro-meteorological, Arduino, Android.

scholarly journals Passive sensing on mobile devices to improve mental health services with adolescent and young mothers in low-resource settings: the role of families in feasibility and acceptability

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sujen Man Maharjan ◽  
Anubhuti Poudyal ◽  
Alastair van Heerden ◽  
Prabin Byanjankar ◽  
Ada Thapa ◽  
...  
Keyword(s):  
Data Collection ◽  
Health Services ◽  
Mobile Devices ◽  
Family Involvement ◽  
Mobile Phones ◽  
Young Mothers ◽  
Audio Recording ◽  
Low Resource Settings ◽  
Passive Sensing ◽  
Passive Data

Abstract Background Passive sensor data from mobile devices can shed light on daily activities, social behavior, and maternal-child interactions to improve maternal and child health services including mental healthcare. We assessed feasibility and acceptability of the Sensing Technologies for Maternal Depression Treatment in Low Resource Settings (StandStrong) platform. The StandStrong passive data collection platform was piloted with adolescent and young mothers, including mothers experiencing postpartum depression, in Nepal. Methods Mothers (15–25 years old) with infants (< 12 months old) were recruited in person from vaccination clinics in rural Nepal. They were provided with an Android smartphone and a Bluetooth beacon to collect data in four domains: the mother’s location using the Global Positioning System (GPS), physical activity using the phone’s accelerometer, auditory environment using episodic audio recording on the phone, and mother-infant proximity measured with the Bluetooth beacon attached to the infant’s clothing. Feasibility and acceptability were evaluated based on the amount of passive sensing data collected compared to the total amount that could be collected in a 2-week period. Endline qualitative interviews were conducted to understand mothers’ experiences and perceptions of passive data collection. Results Of the 782 women approached, 320 met eligibility criteria and 38 mothers (11 depressed, 27 non-depressed) were enrolled. 38 mothers (11 depressed, 27 non-depressed) were enrolled. Across all participants, 5,579 of the hour-long data collection windows had at least one audio recording [mean (M) = 57.4% of the total possible hour-long recording windows per participant; median (Mdn) = 62.6%], 5,001 activity readings (M = 50.6%; Mdn = 63.2%), 4,168 proximity readings (M = 41.1%; Mdn = 47.6%), and 3,482 GPS readings (M = 35.4%; Mdn = 39.2%). Feasibility challenges were phone battery charging, data usage exceeding prepaid limits, and burden of carrying mobile phones. Acceptability challenges were privacy concerns and lack of family involvement. Overall, families’ understanding of passive sensing and families’ awareness of potential benefits to mothers and infants were the major modifiable factors increasing acceptability and reducing gaps in data collection. Conclusion Per sensor type, approximately half of the hour-long collection windows had at least one reading. Feasibility challenges for passive sensing on mobile devices can be addressed by providing alternative phone charging options, reverse billing for the app, and replacing mobile phones with smartwatches. Enhancing acceptability will require greater family involvement and improved communication regarding benefits of passive sensing for psychological interventions and other health services. Registration International Registered Report Identifier (IRRID): DERR1-10.2196/14734

scholarly journals UAV-Enabled Covert Wireless Data Collection

2021 ◽  
pp. 1-1
Author(s):  
Xiaobo Zhou ◽  
Shihao Yan ◽  
Feng Shu ◽  
Riqing Chen ◽  
Jun Li
Keyword(s):  
Data Collection ◽  
Wireless Data ◽  
Wireless Data Collection

System design for 3D wound imaging using low-cost mobile devices

2017 ◽  
Author(s):  
Ekaterina Sirazitdinova ◽  
Thomas M. Deserno
Keyword(s):  
System Design ◽  
Mobile Devices ◽  
Low Cost

INOVASI APLIKASI TRANSPORTASIKU DI DINAS PERHUBUNGAN KOTA SURABAYA

Publika ◽  
2021 ◽  
pp. 199-214
Author(s):  
Kholilah Danarratoe Kharima ◽  
Eva Hany Fanida
Keyword(s):  
Data Collection ◽  
Public Service ◽  
Public Transportation ◽  
Community Support ◽  
Information Services ◽  
Ease Of Use ◽  
The Public ◽  
Citizen Support ◽  
Information Reliability

Penggunaan teknologi saat ini dibutuhkan dalam bidang pelayanan publik. Seiring dengan bertambahnya kebutuhan masyarakat maka pemerintah sebagai penyedia layanan publik terus melakukan pembaruan terhadap perubahan pelayanan yang diberikan agar memudahkan masyarakat dalam mendapatkan layanan informasi. Salah satu penerapan e-government oleh Dinas Perhubungan Kota Surabaya adalah inovasi aplikasi TransportasiKu yang bertujuan untuk memberikan layanan informasi terkait lalu lintas dan transportasi umum yang ada di Surabaya secara terkini, praktis, lebih cepat dengan satu aplikasi yang memuat semua informasi melalui genggaman smartphone. Penelitian ini menganalisa menggunakan indikator measuring the quality of e-government from the user prespective (Kozák, 2018) dengan enam indikator yaitu ease of use, content and appearance of the information, reliability, citizen support, trust/security, support in completing forms. Penelitian ini menggunakan jenis penelitian deskriptif dengan metode kualitatif, teknik pengumpulan data wawancara, observasi, dokumentasi dan teknik analisa data yaitu pengumpulan data, reduksi data, penyajian data dan penarikan kesimpulan/verifikasi. Hasil penelitian ini menunjukkan bahwa aplikasi ini mendapat respon yang cukup baik dari masyarakat sebagai pengguna karena dapat memberikan layanan informasi yang dibutuhkan namun masih ada juga gangguan dalam penggunaannya. Indikator pertama, kemudahan penggunaan dirasa para pengguna sangat mudah digunakan untuk setiap saat. Indikator kedua, isi dan tampilan informasi yang dihadirkan sederhana dan lengkap. Indikator ketiga keandalan, pada aplikasi ini server yang digunakan masih kurang cukup. Indikator keempat dukungan masyarakat untuk halaman bantuan tidak tersedia hanya ada kolom komentar. Indikator kelima kepercayaan/keamanan, tidak menyertakan informasi pribadi sehingga aman. Indikator keenam dukungan dalam pengisian, formulir aplikasi ini berbasis informasi tanpa perlu pengisian formulir data para penggunanya. Kata Kunci : Pelayanan Publik, Inovasi, E-Government, TransportasiKu   The use of technology is currently needed in the field of public services. Along with the increasing needs of the community, the government as a public service provider continues to make updates to changes in the services provided to make it easier for the public to get information services. One of the applications of e-government by the Surabaya City Department of Transportation is the TransportationKu application innovation which aims to provide information services related to traffic and public transportation in Surabaya in an up-to-date, practical, faster way with one application that contains all information through the grip of a smartphone. This study analyzes using indicators measuring the quality of e-government from the user perspective (Kozák, 2018) with six indicators, namely ease of use, content and appearance of the information, reliability, citizen support, trust/security, support in completing forms. This research uses descriptive research with qualitative methods, interview data collection techniques, observation, documentation and data analysis techniques, namely data collection, data reduction, data presentation and conclusion / verification. The results of this study indicate that this application has received a fairly good response from the public as a user because it can provide the information services needed, but there are still disturbances in its use. The first indicator, ease of use, is felt by users to be very easy to use at any time. The second indicator, the content and display of the information presented is simple and complete. The third indicator is reliability, in this application the server used is still insufficient. The fourth indicator of community support for the help page is not available, only a comment column. The fifth indicator is trust / security, does not include personal information so it is safe. The sixth indicator of support in filling in this application form is information-based without the need to fill out user data forms. Keywords: Public Service, Innovation, E-Government, TransportasiKu

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