Improved maintenance planning of railway tracks based on onboard vibration measurements using smartphones

نویسندگان

1 Department of Industrial Engineering, Faculty of Engineering, College of Farabi, University of Tehran, Iran

2 Department of Industrial Engineering, Faculty of Engineering, College of Farabi, University of Tehran, Iran

3 Department of Industrial Engineering, Faculty of Engineering, College of Farabi, University of Tehran, Iran

4 . Department of Industrial Engineering, Faculty of Engineering, College of Farabi, University of Tehran, Iran

doi
10.22091/jemsc.2025.11229.1204
چکیده

With the increase in train speed, railway traffic has grown significantly in terms of both passenger numbers and cargo weight. Speed, weight, and rail traffic collectively impact rail track quality. The expanding rail network has accelerated the rate of track geometry changes, leading to deteriorating track conditions. Severe track geometry deviations pose significant risks, including train derailment. Consequently, railway companies invest substantial resources in regular track inspections to mitigate these risks. This article proposes a cost-effective and reliable method for continuous track geometry monitoring during every journey. By utilizing the widespread availability of smartphones, we aim to record wagon vibrations to predict rail conditions in both vertical and horizontal dimensions. This approach can drastically reduce maintenance costs by efficiently identifying areas requiring urgent attention.