The Roadside Data Revolution

The Roadside Data Revolution

Mobileye is revolutionizing the vitally important task of monitoring roadside assets, pavement condition and mobility information. Explore how the system works and how it can benefit DOTs, road operators, utilities and businesses.

Collecting accurate asset and mobility data is a key responsibility of cities, departments of transportation, road operators, utilities and many others. Using current data collection technology, the process of collecting this information is slow, cumbersome, tedious and time-consuming. These disadvantages have led to use of outdated and/or inaccurate information, putting further strains on already stretched budgets.

Now, Mobileye is revolutionizing data collection with Mobileye Data Services. This cutting-edge technology is offering accurate, timely data collection, allowing organization to easily track asset inventory, maintain assets and understand mobility issues.

The process starts with the data harvesting itself. After harvesting, road asset data, such as traffic signs, lampposts, drains and manhole covers, is aggregated, aligned and clustered. This process generally takes place after multiple recorded trips in a road segment have been uploaded to the Mobileye cloud.

As an example, let’s say there is a road segment which includes: one stop sign, two yield signs and five lampposts. Let’s also suppose that Mobileye-equipped vehicles make a number of trips along this road segment. During every trip, these assets are scanned, the road asset information is extracted, and the results are sent to the Mobileye cloud. Each type of asset has certain relevant features that are tracked, such as location, dimension details and type of sign. During each trip, the relevant information is noted, compressed into small packets of information and sent to the Mobileye cloud. There, the data is processed by Mobileye’s proprietary algorithms, the results aggregated with all other recorded trips, and individual features clustered. The end result is a highly accurate inventory of assets along this road segment.

This information is then used to create a high-definition map called the Mobileye Roadbook™. The information found in the Roadbook must be converted to GeoJson format files. Once in this format, these files are used to create GIS layers – layers that can be integrated into any GIS platform. So, in the above example, these trips would result in a GIS layer of Traffic signs, showing the precise location of each sign, its type and its dimensions and another GIS layer Poles, showing the location, angle, and width at the center point for each pole.

For other types of data, such as mobility information and pavement quality the process is a little different. Mobility information like cyclist volume is recorded per time period, allowing planners to understand traffic patterns at different times of day. The end result would be a GIS layer – Cyclist volume, which would show the number of cyclists on the road, per road segment by time of day.

Pavement quality, striping quality and similar types of information are recorded and processed. The end results are the GIS layers Potholes and Cracks. This information can then be used to optimize road maintenance.

All-in-all, Mobileye Data Services offers over thirty types of GIS layers containing a wide-variety of asset data and mobility information, that can be used for everything from conducting an asset inventory to monitoring pavement quality to improving road safety infrastructure.

For more information about how you can take advantage of Mobileye Data Services, please contact us.

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