*Arief Hidayat orcid scopus  -  Urban and Transportation Planning Laboratory-Department of Civil Engineering-Tokyo University of Science, Japan
Shintaro Terabe  -  Urban and Transportation Planning Laboratory, Department of Civil Engineering, , Japan
Hideki Yaginuma  -  Urban and Transportation Planning Laboratory, Department of Civil Engineering, , Japan
Received: 26 Jul 2018; Published: 25 Oct 2018.
Open Access License URL: http://creativecommons.org/licenses/by-nc-sa/4.0

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Section: Articles
Language: EN
Statistics: 783 93

Currently, the developmentof wifi is proliferating. Especially in the field of transportation and smart cities. At the same time, wifi is a low-cost technology, which offers a longer survey time and is able to support the big data era. This paper describes our study, which first uses a wifi scanner to capture media access control (MAC) address data of bus passengers wifi devices and then identifies each MAC address travel time to confirm the bus passengers. The MAC address is a unique ID for aech device used suchh as moble phones, smartphones, laptops, tablets, and other wifi-enabled equipment. The wifi scanner was placed inside the bus to capture all tthe MAC addresses inside and around the bus. The survey was conducted for one day (eight hours). The paper describes the procedure of the time travel estimation for each MAC address using the “point to path” analysis in QGIS open source software. This procedure, using point to path-GIS, produced 70.000-80.000 raw data points cleaned into 100-130 new data point. The procedure determined how many passengers traveled and explained which bus passengers used based on travel time.

Keywords: WiFi scanner; Point to Path; GIS; Travel Time; Procedure; MAC address

Article Metrics:

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