Street Surface Quality Assessment and Visualization using Gyro Sensor

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dc.contributor.authorChawuthai, Rathachai
dc.contributor.authorJearanaitanakij, Kietikul
dc.date.accessioned2026-08-06T10:21:21Z
dc.date.available2026-08-06T10:21:21Z
dc.date.issued2018-08-21
dc.description.abstractStreet maintenance is one of important tasks for transportation safety. An inclusive report is required for demonstrating the quality of street surface in order to have a precise plan for repairing any defects on street at the right locations. Most observations from any government agencies are usually done by human, however reports about street surface are not well-appointed enough due to the limitation of human cognition and documentation. This paper addresses the according issue by using computation process that uses the power of the Internet of Things (IoT) to analyze the movement of gyro data with locations and time along driving routes, and then generates a visualization report to point out any broken street surface. It has been found that the analysis of gyro data using linear regression could enable street surface quality assessment and visualization for improving road safety.
dc.identifier.citationIcsec 2017 21st International Computer Science and Engineering Conference 2017 Proceeding, 5-9, 2018
dc.identifier.doi10.1109/ICSEC.2017.8443952
dc.identifier.other2-s2.0-85053481238
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/8973
dc.sourceIcsec 2017 21st International Computer Science and Engineering Conference 2017 Proceeding
dc.subjectData Analysis
dc.subjectGyro Sensor
dc.subjectMap Visualization
dc.subjectRoad Monitoring
dc.subjectStreet Quality Assessment
dc.titleStreet Surface Quality Assessment and Visualization using Gyro Sensor
dc.typeConference Paper

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