2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) 2019
DOI: 10.1109/ecai46879.2019.9042074
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Usage of Bluetooth scanners to detect urban traffic

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Cited by 2 publications
(3 citation statements)
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“…Traffic parameters, such as origin-destination (OD) trip matrix, travel time, speed, traffic flow, traffic density and traffic condition can be estimated by processing the raw data based on statistic and computer techniques collected through cellular network usage [1]. Three articles [16][17][18] demonstrate these new methods to collect traffic-related information. Floating car data (FCD) is created by the prevalent navigation software embedded in the smartphone, which covers a wide range of scope on geography depending on the movement of vehicles.…”
Section: Velocity Of Pedestrian ömentioning
confidence: 99%
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“…Traffic parameters, such as origin-destination (OD) trip matrix, travel time, speed, traffic flow, traffic density and traffic condition can be estimated by processing the raw data based on statistic and computer techniques collected through cellular network usage [1]. Three articles [16][17][18] demonstrate these new methods to collect traffic-related information. Floating car data (FCD) is created by the prevalent navigation software embedded in the smartphone, which covers a wide range of scope on geography depending on the movement of vehicles.…”
Section: Velocity Of Pedestrian ömentioning
confidence: 99%
“…The smartphone sensors Bluetooth is another tool to provide a set of applications for a personal area network. Bluetooth Low Energy (BLE) technology is introduced in the automotive industry, which is studied by the research team of Gheorghiu [18]. They proposed a BLE application to collect information about passengers' activities and detect the communications in a road junction carried out in Bucharest.…”
Section: Velocity Of Pedestrian ömentioning
confidence: 99%
“…On this matter, a study published in 2019 [2] that covered the years 2010 to 2016, showed that the detection rate was of about 25%. Also, in [3], the authors compared Bluetooth detections with the real number of vehicles transiting an intersection, and determined with the help of a video camera, a detection rate of about 30%. Although there are other studies showing smaller detection rates [2,[4][5][6][7], it is important to take into consideration the fact that technological evolution and improvements in detection methods can lead to increased performance.…”
Section: Related Workmentioning
confidence: 99%