Proactive safety monitoring: A functional approach to detect safety-related anomalies using unmanned aerial vehicle video data is a study proposing a novel functional approach for detecting safety-related anomalies.
What is the purpose of this study on Proactive safety monitoring?
- The study was conducted by Yang et al.
- The advent of smart cities has motivated the field of transportation safety to transition towards a proactive approach that anticipates and mitigates risks before crashes occur.
- One of the stepping-stones to complete this transition is to monitor the risk levels of the transportation roadway system continuously.
- With the advancement in emerging technologies, computer-vision-based safety analysis approaches that focus on risk assessment using traffic conflicts quantified by surrogate safety measures extracted from traffic videos have been proposed.
- As the detailed movements of all the vehicles are logged in the video data, the quantified traffic conflicts can depict the whole picture of risk levels for a specific location
- The present study contributes to the literature by proposing a novel functional approach that models time series of a variant of the time exposed time-to-collision safety indicator directly to detect safety-related anomalies from traffic video data.
- By applying the proposed safety-related anomaly detection method, significant amount of human resources can be liberated.
To learn more about unmanned aerial vehicle, refer: https://brainly.com/question/14179661
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