Abstract:
The paper describes the design and validation of
a low-cost platform for automated roadway quality monitoring
based on the collection of inertial measurement unit (IMU) and
location data from a vehicle-mounted sensor platform. Data was
collected from field experiments on a service vehicle owned by the
city of Lakewood, OH, USA to demonstrate the feasibility and
scalability of the proposed monitoring approach. Analysis and
visualization of the acquired data indicates how such a platform
can be used to assist city service personnel in the daunting task
of maintaining ageing civil infrastructure in urban communities.
Citation:
P. Nguyen et al., "A Scalable Pavement Sensing, Data Analytics, and Visualization Platform for Lean Governance in Smart Communities," 2020 Moratuwa Engineering Research Conference (MERCon), 2020, pp. 313-318, doi: 10.1109/MERCon50084.2020.9185283.
