Road Asset Management is a systematic approach to maintaining, improving, and managing the infrastructure that incorporates engineering principles as well as strong business practices and economic logic. In fact, it is a high-level management activity carried out by road authorities to assist balance cost, hazards, and performance, and it entails data collecting, data analysis, resource allocation, and budgeting. Today’s pavement managers face a difficult task in meeting their transportation needs while working with limited resources. Furthermore, the legislative bodies have imposed significant demands on the highway authorities, including increased accountability for the use of taxpayer funds. As a result, the significance of management systems is greater than ever.
With autonomous vehicles being developed, and vehicles with conditional automation being launched in 2019. These vehicles employ a number of sensors and cameras to examine the environment and recognise traffic signs and lane markers. Moreover, vehicle-to-vehicle and vehicle-to-infrastructure technologies are intended to enable autos to share information with one another and with infrastructure, as well as to give critical information to enhance road safety. Many studies have found that the environmental impact of road maintenance or operation (congestion, noise, pollution, etc.) should be factored into the asset management process. Additionally, when deciding between alternative maintenance plans, road operators should evaluate the socioeconomic implications.
Moreover, in recent years, new measurement technologies have been created that give additional information about the status of road assets at traffic speeds and improve measurement accuracy. These require road asset managers to adopt new-age asset monitoring solutions.
Smart Transportation Asset Monitoring Solutions
The Industrial Internet of Things is on the verge of global deployment. Extreme asset condition events caused by climatic change, natural disasters, usage behaviours, material quality, and human-made events such as vandalism, accidents, or terrorism can be monitored using IIoT-driven terrestrial technologies to reduce the cost and dangers of extreme asset condition events. Because of the financial constraints in implementing and sustaining a diverse range of asset types throughout a 125,000-kilometer footprint, a proper technology-based monitoring system is in great demand. Highways, subways, tunnels, bridges, transportation furniture, culverts, signage, footways, bollards, gullies and drains, PWOW, retaining walls, and other transportation assets are all examples of transportation assets.
Unlike traditional road asset management methods, which are based on a reactive and static approach, Industrial Internet of Things-based operational data can help to support more proactive, predictive, and responsive asset maintenance and renewal approaches.IIoT-driven CCTV fleets and remote laser sensing technologies are the two key solutions that are implanted to ease transportation infrastructure inspection, assessment, and diagnosis. These technologies, when used correctly, can help automate infrastructure monitoring and provide numerous advantages.
Road Asset Monitoring With Industrial Internet of Things Enabled CCTV And Laser Technologies
Road asset inspection robots can use the Industrial Internet of Things to power CCTV and laser technology to scan the pavement and surface indexes. This technology enables road infrastructure managers to view video footage of road conditions from afar and utilise laser technology to correctly locate concealed faults.
The camera footage, as well as the motion and activity of road damages detected by laser technology, can subsequently be uploaded to a cloud platform that anyone with a protected access point can view. For more analysis, the challenges and risks posed by the structural and conditional creation of road assets can be analysed and rated as per their criticality.
After that, the video data is loaded into video content analytics software, where trained AI and ML models analyse the depth and integrate insights into interactive visualisation tools such as digital twins, GIS layers, smart dashboards, and more.
Cerexio Provides The Most Advanced Transportation Asset Monitoring Solutions
Transportation Smart and Integrated Asset Solutions by Cerexop apply Smart Remote CCTV and Laser Equipment Technologies to monitor and optimise road asset safety inspections across any difficult road infrastructure. With LiDAR lasers and smart CCTV equipment, this technology enables fully automated IIoT-driven fleets to scan the surface condition index and pavement condition. Once the footage is recorded by these devices, it gets uploaded to a private cloud which is restricted to only those given permission. Following that, an analysis of the footage will be carried out with the use of smart visual analytics technology, and road asset diagnosis assessments will be prepared in minutes, consisting of information on the damages, types of damages, the importance of the assets, and the asset’s remaining economic life. IIoT-paired Laser Inspection and CCTV Fleet Technologies by Cerexio additionally input asset conditional and structural data, allowing road asset managers to simulate road asset firmness and longevity utilizing real-time visual monitoring capabilities. As a result, Cerexio is Asia’s leading provider of transportation asset monitoring technology. Connect with us at to find out more.
