Subway rail transit monitoring by built-in sensor platform of smartphone

Cong，Jian li1,2; Gao，Ming yuan3,4; Wang，Yuan5; Chen，Rong1,2; Wang，Ping1,2

2020-08-01

10.1631/FITEE.1900242

Frontiers of Information Technology & Electronic Engineering   影响因子和分区

2095-9184

2095-9230

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.

Acceleration signals Embedded sensors Smart monitoring Smartphones Subway U216.3

SCI ; EI

英语

通讯

20203409088888

Vehicles ; Global positioning system ; Application programs ; Time domain analysis ; Light rail transit ; Location ; Intelligent systems

Railroad Transportation, General:433.1 ; Telephone Systems and Equipment:718.1 ; Computer Software, Data Handling and Applications:723 ; Artificial Intelligence:723.4 ; Mathematics:921

2-s2.0-85089579533

Scopus

1.School of Civil Engineering,Southwest Jiaotong University,Chengdu,610031,China
2.Key Laboratory of High-speed Railway Engineering,Ministry of Education,Chengdu,610031,China
3.College of Engineering and Technology,Southwest University,Chongqing,400716,China
4.National & Local Joint Engineering Laboratory of Intelligent Transmission and Control Technology,Chongqing,400716,China
5.School of System Design and Intelligent Manufacturing,Southern University of Science and Technology,Shenzhen,518055,China

Cong，Jian li,Gao，Ming yuan,Wang，Yuan,et al. Subway rail transit monitoring by built-in sensor platform of smartphone[J]. Frontiers of Information Technology & Electronic Engineering,2020,21(8):1226-1238.

Cong，Jian li,Gao，Ming yuan,Wang，Yuan,Chen，Rong,&Wang，Ping.(2020).Subway rail transit monitoring by built-in sensor platform of smartphone.Frontiers of Information Technology & Electronic Engineering,21(8),1226-1238.

Cong，Jian li,et al."Subway rail transit monitoring by built-in sensor platform of smartphone".Frontiers of Information Technology & Electronic Engineering 21.8(2020):1226-1238.