WiFi Scanner Technologies for Obtaining Travel Data about Circulator Bus Passengers: Case Study in Obuse, Nagano Prefecture, Japan

Recently, a variety of technologies, such as the development of Bluetooth, WiFi, and smart cards, have been used to investigate the movements of passengers or vehicles. This study describes the use of a WiFi scanner that was installed on a bus and circulated around the bus’s route 14 times. The method presented here involves the use of WiFi and GPS to analyze passengers’ movements while the bus is running and while stopped at a bus stop. Nine steps were used to derive travel data from the raw data to estimate the number of movements of the passengers. The results of this study describe the travel data collected between bus stops no. 1 and no. 9 and compare the observer data with the WiFi data.

[1]  Alfonso García-Cerezo,et al.  A Wireless Sensor Network for Urban Traffic Characterization and Trend Monitoring , 2015, Sensors.

[2]  Baher Abdulhai,et al.  Fusing a Bluetooth Traffic Monitoring System With Loop Detector Data for Improved Freeway Traffic Speed Estimation , 2013, J. Intell. Transp. Syst..

[3]  Vassilis Kostakos,et al.  Towards proximity-based passenger sensing on public transport buses , 2013, Personal and Ubiquitous Computing.

[4]  Luis F. Miranda-Moreno,et al.  Towards a WIFI System for Traffic Monitoring in Different Transportation Facilities , 2014 .

[5]  Hideyuki Takada,et al.  Measuring Bus Passenger Load by Monitoring Wi-Fi Transmissions from Mobile Devices , 2014 .

[6]  Nicolas Saunier,et al.  Analysis of Pedestrian Travel with Static Bluetooth Sensors , 2012 .

[7]  Yinhai Wang,et al.  Estimation of Origin and Destination Information from Bluetooth and Wi-Fi Sensing for Transit , 2016 .

[8]  Jukka Riekki,et al.  Urban traffic analysis through multi-modal sensing , 2015, Personal and Ubiquitous Computing.

[9]  Bilal Farooq,et al.  Pedestrian Activity Pattern Mining in WiFi-Network Connection Data , 2016 .

[10]  Fan Zhang,et al.  Characterizing On-Bus WiFi Passenger Behaviors by Approximate Search and Cluster Analysis , 2016, 2016 7th International Conference on Cloud Computing and Big Data (CCBD).

[11]  Darcy M. Bullock,et al.  Real-Time Measurement of Travel Time Delay in Work Zones and Evaluation Metrics Using Bluetooth Probe Tracking , 2010 .

[12]  Vassilis Kostakos Towards sustainable transport: wireless detection of passenger trips on public transport buses , 2008 .

[13]  Kaan Ozbay,et al.  Exploring pedestrian Bluetooth and WiFi detection at public transportation terminals , 2016, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC).

[14]  Johan Wideberg,et al.  Deriving origin destination data from a mobile phone network , 2007 .

[15]  Mohamed El-Darieby,et al.  A Wireless Mesh Network-Based Platform for ITS , 2008, VTC Spring 2008 - IEEE Vehicular Technology Conference.

[16]  James Biagioni,et al.  Cooperative transit tracking using smart-phones , 2010, SenSys '10.

[17]  Weblog Wikipedia,et al.  In Wikipedia the Free Encyclopedia , 2005 .