Inspect Road Quality by Using Anomaly Detection Approach

Yu Lin Jeng, Sheng Bo Huang, Chin-Feng Lai

研究成果: Conference contribution

摘要

Road quality can be representative of a country's development status, affect transportation speeds and traveler safety. However, there is no standard or set of rules to protect people from the dangers of damaged roads. This study proposes a method for evaluating road quality, which has been made possible by the recent rapid development of information technology and machine learning algorithms, and the popularity and widespread use of smartphones. The proposed inspection method is a road quality inspection APP which collects raw data from smartphone sensors, including GPS and accelerator sensors. Once the data is collected, the server side of the proposed system runs an anomaly detection algorithm to interpret the recorded oscillating amplitude of a specific section of road. The calculated results are then added to the Google Maps app, and abnormal road sections are marked in different colors.

原文English
主出版物標題2018 International Conference on System Science and Engineering, ICSSE 2018
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781538662854
DOIs
出版狀態Published - 2018 十一月 1
事件2018 International Conference on System Science and Engineering, ICSSE 2018 - New Taipei City, Taiwan
持續時間: 2018 六月 282018 六月 30

出版系列

名字2018 International Conference on System Science and Engineering, ICSSE 2018

Other

Other2018 International Conference on System Science and Engineering, ICSSE 2018
國家Taiwan
城市New Taipei City
期間18-06-2818-06-30

指紋

Smartphones
Anomaly Detection
Inspection
Sensors
Application programs
Learning algorithms
Particle accelerators
Information technology
Learning systems
Global positioning system
Sensor
Servers
Accelerator
Color
Information Technology
Learning Algorithm
Machine Learning
Server
Safety

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Control and Optimization

引用此文

Jeng, Y. L., Huang, S. B., & Lai, C-F. (2018). Inspect Road Quality by Using Anomaly Detection Approach. 於 2018 International Conference on System Science and Engineering, ICSSE 2018 [8520151] (2018 International Conference on System Science and Engineering, ICSSE 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSSE.2018.8520151
Jeng, Yu Lin ; Huang, Sheng Bo ; Lai, Chin-Feng. / Inspect Road Quality by Using Anomaly Detection Approach. 2018 International Conference on System Science and Engineering, ICSSE 2018. Institute of Electrical and Electronics Engineers Inc., 2018. (2018 International Conference on System Science and Engineering, ICSSE 2018).
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title = "Inspect Road Quality by Using Anomaly Detection Approach",
abstract = "Road quality can be representative of a country's development status, affect transportation speeds and traveler safety. However, there is no standard or set of rules to protect people from the dangers of damaged roads. This study proposes a method for evaluating road quality, which has been made possible by the recent rapid development of information technology and machine learning algorithms, and the popularity and widespread use of smartphones. The proposed inspection method is a road quality inspection APP which collects raw data from smartphone sensors, including GPS and accelerator sensors. Once the data is collected, the server side of the proposed system runs an anomaly detection algorithm to interpret the recorded oscillating amplitude of a specific section of road. The calculated results are then added to the Google Maps app, and abnormal road sections are marked in different colors.",
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Jeng, YL, Huang, SB & Lai, C-F 2018, Inspect Road Quality by Using Anomaly Detection Approach. 於 2018 International Conference on System Science and Engineering, ICSSE 2018., 8520151, 2018 International Conference on System Science and Engineering, ICSSE 2018, Institute of Electrical and Electronics Engineers Inc., 2018 International Conference on System Science and Engineering, ICSSE 2018, New Taipei City, Taiwan, 18-06-28. https://doi.org/10.1109/ICSSE.2018.8520151

Inspect Road Quality by Using Anomaly Detection Approach. / Jeng, Yu Lin; Huang, Sheng Bo; Lai, Chin-Feng.

2018 International Conference on System Science and Engineering, ICSSE 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8520151 (2018 International Conference on System Science and Engineering, ICSSE 2018).

研究成果: Conference contribution

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AU - Lai, Chin-Feng

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N2 - Road quality can be representative of a country's development status, affect transportation speeds and traveler safety. However, there is no standard or set of rules to protect people from the dangers of damaged roads. This study proposes a method for evaluating road quality, which has been made possible by the recent rapid development of information technology and machine learning algorithms, and the popularity and widespread use of smartphones. The proposed inspection method is a road quality inspection APP which collects raw data from smartphone sensors, including GPS and accelerator sensors. Once the data is collected, the server side of the proposed system runs an anomaly detection algorithm to interpret the recorded oscillating amplitude of a specific section of road. The calculated results are then added to the Google Maps app, and abnormal road sections are marked in different colors.

AB - Road quality can be representative of a country's development status, affect transportation speeds and traveler safety. However, there is no standard or set of rules to protect people from the dangers of damaged roads. This study proposes a method for evaluating road quality, which has been made possible by the recent rapid development of information technology and machine learning algorithms, and the popularity and widespread use of smartphones. The proposed inspection method is a road quality inspection APP which collects raw data from smartphone sensors, including GPS and accelerator sensors. Once the data is collected, the server side of the proposed system runs an anomaly detection algorithm to interpret the recorded oscillating amplitude of a specific section of road. The calculated results are then added to the Google Maps app, and abnormal road sections are marked in different colors.

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Jeng YL, Huang SB, Lai C-F. Inspect Road Quality by Using Anomaly Detection Approach. 於 2018 International Conference on System Science and Engineering, ICSSE 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8520151. (2018 International Conference on System Science and Engineering, ICSSE 2018). https://doi.org/10.1109/ICSSE.2018.8520151