Subway rail transit monitoring by built-in sensor platform of smartphone
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Cong et al. / Front Inform Technol Electron Eng 2020 21(8):1226-1238
Frontiers of Information Technology & Electronic Engineering www.jzus.zju.edu.cn; engineering.cae.cn; www.springerlink.com ISSN 2095-9184 (print); ISSN 2095-9230 (online) E-mail: [email protected]
Subway rail transit monitoring by built-in sensor platform of smartphone* Jian-li CONG1,2, Ming-yuan GAO3,4, Yuan WANG‡5, Rong CHEN1,2, Ping WANG1,2 1 2
Key Laboratory of High-speed Railway Engineering, Ministry of Education, Chengdu 610031, China 3
4 5
School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China
College of Engineering and Technology, Southwest University, Chongqing 400716, China
National & Local Joint Engineering Laboratory of Intelligent Transmission and Control Technology, Chongqing 400716, China
School of System Design and Intelligent Manufacturing, Southern University of Science and Technology, Shenzhen 518055, China E-mail: [email protected]; [email protected]; [email protected]; [email protected]; [email protected] Received May 13, 2019; Revision accepted Jan. 3, 2020; Crosschecked June 19, 2020
Abstract: Smartphone, as a smart device with multiple built-in sensors, can be used for collecting information (e.g., vibration and location). In this paper, we propose an approach for using the smartphone as a sensing platform to obtain real-time data on vehicle acceleration, velocity, and location through the development of the corresponding application software and thereby achieve the green concept based monitoring of the track condition during subway rail transit. Field tests are conducted to verify the accuracy of smartphones in terms of the obtained data’s standard deviation (SD), Sperling index (SI), and International Organization for Standardization (ISO)-2631 weighted acceleration index (WAI). A vehicle-positioning method, together with the coordinate alignment algorithm for a Global Positioning System (GPS) free tunnel environment, is proposed. Using the time-domain integration method, the relationship between the longitudinal acceleration of a vehicle and the subway location is established, and the distance between adjacent stations of the subway is calculated and compared with the actual values. The effectiveness of the method is verified, and it is confirmed that this approach can be used in the GPS-free subway tunnel environment. It is also found that using the proposed vehicle-positioning method, the integral error of displacement of a single subway section can be controlled to within 5%. This study can make full use of smartphones and offer a smart and eco-friendly approach for human life in the field of intelligent transportation systems. Key words: Acceleration signals; Smart monitoring; Embedded sensors; Smartphones; Subway https://doi.org/10.1631/FITEE.1900242 CLC number: U216.3
1 Introduction 1.1 Background By the end of 2018, a total of 34 cities in mainland China had opened urban rail transit, with a total ‡
Corresponding author Project supported by the
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