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Condition Assessment for Traffic Signs & Pavement Striping

Recognizing the pressures that jurisdictions face to provide a safe and reliable transportation network prompted the creation of the Condition of Traffic Signs and Pavement Striping (TS/PS) product by Cyclomedia. Pavement striping currently represents one of the hardest assets to maintain across organizations due to its vast mileage and degradation variances. Similarly, inventorying traffic signs is a lengthy and expensive process highly prone to human error. Having an updated asset inventory is required by the Federal Highway Administration (FHWA), and yet organizations are struggling to keep up with this demand.

Download the Traffic Signs Condition Product Factsheet

Stay in line with FHWA regulations

So, what can organizations do in order to stay in line with FHWA regulations? Our Traffic Signs and Pavement Striping (TS/PS) solution solves the problems associated with collecting and assessing pavement striping and traffic signs by providing an accurate and up-to-date inventory of all roadway assets within any jurisdiction and their condition.

Download the Pavement Striping Condition Product Factsheet

Blog: Asset condition collection and analysis

Cyclomedia, the leading roadway asset data provider to state and local agencies, understands the complexities our customers face. Managing public assets is vital to ensuring the safety of our roadways. In an era where public agencies are challenged to do more with fewer resources and shrinking budgets, it is nearly impossible to have an accurate and up-to-date asset inventory. Our 'Condition Assessment for Pavement Striping and Traffic Signs' product eliminates the need for manually inventorying these assets, a lengthy and difficult process.

We use a combination of RGB visual scoring based upon a trained machine learning model, as well as normalized intensity data from our LiDAR sensor. This combined scoring system allows us to provide an overall condition score of these assets on a network scale, with an unmatched density compared to traditional manual approaches.

Pavement assessment and pavement markings

This information is delivered as a dataset, making it easy for departments to focus on the maintenance of traffic signs and pavement striping conditions. This vastly reduces the need of sending personnel into the field to manually inspect the condition of these assets across the thousands of miles of their network.

Our technology

Using our technology, highway striping and signs can be assessed more efficiently. Our assessment methodology ensures that every aspect of pavement condition and stripping is considered. Instead of side mounted systems, we use top mounted systems that aid in the accurate detection of pavement markings, and district TX DOT officials can rely on our system for precise data. We also provide maintenance recommendations based on our assessments, ensuring that every aspect of road safety is covered.

Read our TS/PS blog

Press release: 'Condition Assessment for Pavement Striping and Traffic Signs' Product Launch

Using this new data product, jurisdictions are able to complete work that typically takes months in only a matter of weeks. Rather than having to manually locate, identify, and assess each asset (a long and costly process that is subject to human error), Cyclomedia will quickly and efficiently gather the necessary information organizations need to make timely and informed decisions. Read our product launch press release to learn more about this solution!

Check out the press release

Our approach when it comes to highway striping and signs

Cyclomedia’s innovative approach leverages artificial intelligence to streamline the maintenance of pavement striping and signs. This is how we make sure that pavement conditions are assessed accurately and efficiently, which is particularly crucial for larger organizations managing extensive networks. The integration of one pass data collection allows for the rapid and thorough assessment of pavement, making the process both efficient and effective.

Performance processing with Cyclomedia

Our system is designed to handle various environments, including parking lots. Every parking lot is maintained to the highest standards. By employing advanced technology, our solution can be quickly prepared, reducing the time required for data collection and analysis. This rapid turnaround is of course important for maintaining the safety and reliability of roadway networks.

Next to that, the use of AI And not a veteran retroreflectometer operator ensures that the data collected is of the highest quality. The involvement of standard retroreflectivity measurements and all the data that comes with it, guarantees that the assessment process is thorough and precise. This expertise is especially needed for maintaining the integrity of pavement markings and ensuring that all assets are in optimal condition.

Pothole, cracks or other defects

Looking to the future, Cyclomedia's technology will continue to revolutionize the evaluation of pavement striping and traffic signs. Our system provides road agencies with precise data, enabling them to address pavement issues proactively. The detailed assessment of defects ensures that these roadway assets are maintained to the highest standards.

This forward-thinking approach helps road agencies optimize their resources and extend the lifespan of their road networks. With Cyclomedia, the future of asset management is not just efficient but also remarkably effective, ensuring safer and more reliable roads for everyone.

Product Launch Webinar

Cyclomedia hosted a product launch webinar for our Condition Assessment of Pavement Striping and Traffic Signs product!

In case you missed it, watch the recording where we:

  • Led 30 mins of product review and demonstration, followed by 15 minutes of Q&A with the participants. The webinar will also be recorded.
  • Learned how Cyclomedia delivers an overview of the condition of your signs and a complete network inventory of your pavement striping conditions.
  • Saw an example of what an inventory of your network would look like generated from image and LiDAR data.

 

Watch the recording here