What if we told you that there’s a way to improve road management? In this article, we will talk about how point clouds in roads can optimize all your processes and results.
Roadway management is the act of taking care of manmade pathways to avoid deterioration. This involves two parts: roadway creation and maintenance.
Creation refers to the putting up of roads in regions that did not have any beforehand. The process includes surveying, planning, designing, construction, and implementation.
On the other hand, road maintenance refers to processes that keep road conditions optimal. Assessments, testing, and site surveys are huge parts of this endeavor.
When combined, both of these tasks use a lot of resources as well as finances to do. Thus, there is a great need to improve on existing measures.
Types of Roads
These are roads located in the heart of the metropolitan or commercial districts. One might not think about it, but the number of people accessing them makes it hard for assessments. City roads require adequate planning in maintenance to not cause traffic jams.
Interstate highways are roads that connect states to other states. In such structures, a fast-paced environment is easily observable. This is due to the high-speed nature of the vehicles that traverse this scape.
Not only that, but interstate highways also experience a heavy load in weight. This is due to multiple trucks and large vehicles that pass through them. Thus, they are prone to deterioration.
Mountain Roads are terrains located outside the main city that have a certain elevation. These wrap-around mountain ranges to gain access from one side to another. In the case of heavy rain, it is crucial to assess mountain roads due to landslides. More resources are necessary to tackle these areas.
Benefits of Point Cloud in Roads
How does an industry benefit from using point cloud on roads? Well, we listed some common answers for you.
Dangers are present in any maintenance and assessment project. However, point clouds in roads eliminate these as they use automation and AI. The process is reliant on the deployment of drones that scan LiDAR data. Thus, human errors resulting in hazards are drastically omitted.
Some roads are hard to get to personally. For example, a landslide event renders a blockage of entry and results in slower analysis. Yet, this is not the case for point cloud on roads. Drones are capable of greater vantage points compared to human senses. This results in a more accurate view of the scenario without restrictions.
Faster and Efficient
Normally, maintenance and surveying take weeks to finish. However, point cloud in roads can cut the whole process to mere days or hours. This is due to LiDAR technology and point cloud software that can segment elements. For example, apps such as ScanX identify roads, trees, and curbs automatically through AI.
Not only that, but point cloud data is very versatile. A surveyor or engineer can convert it to various file types for design and modeling. After all, the use of point clouds extends to different facets of construction.
Another amazing application of point cloud is mapping future routes. This means the identification of pathways that have the potential as paved roads.
Point cloud makes it easy to see the overall landscape of an area. Thus, engineers will be more efficient in determining the shape of future highways or roads.
ScanX Difference: Point Cloud in Roads
When going for LiDAR surveys, you need appropriate software to handle data. ScanX is your best choice for this activity. It is a cloud-based point cloud processor that has capabilities in automated classification. Also, data-sharing is made easy through links that are accessible anytime, anywhere.
ScanX is lightweight browser software. This removes the need for bulky computers just to process data. If you desire a free trial, don’t hesitate to give us a call.