Incorporating Artificial Intelligence into highway maintenance can transform how we approach road infrastructure management.
To help with your adoption of AI, below are 10 essentials for integrating it into your highway maintenance processes.
Download our AI Buyers Guide for a quick overview of the below
1. Dedicated Device vs. Smartphone
While smartphones are ubiquitous, dedicated AI devices designed specifically for road inspection are preferable. These devices require no training, operate seamlessly when the vehicle is in motion, and are purpose-built for accuracy and reliability.
2. GDPR Compliance
With the rise of AI and data collection, ensuring GDPR compliance is essential. AI systems in highway maintenance should prioritise censoring identifiable information, such as people and vehicles, before images are stored locally or in the cloud.
3. Historical Images
AI systems can archive and analyse a vast collection of historical images. This allows for a quick reference to past road conditions, enabling teams to observe trends, changes, and recurring issues.
4. Defect Detections
One of the standout features of AI is its ability to measure defects automatically. This not only speeds up the inspection process but also ensures that defects are accurately identified and quantified.
5. Virtual Re-inspections
A digital route view allows maintenance teams to inspect a site without physically revisiting it, accessing all historical data and referencing past asset conditions. Discover more benefits of a digital route view.
6. Real-time Alerting
Immediate alerts are crucial. If an AI system detects a defect or an issue, it can send real-time alerts, ensuring swift action. This reduces potential hazards and minimises further road deterioration.
7. Sign Asset Management
Managing road signs is a significant aspect of highway maintenance. AI can autonomously update sign condition inventories, ensuring that all road signs — from directional to informational — are in good condition and serving their intended purpose.
8. System Integrations
Integrating AI systems with existing work management tools is vital. This ensures seamless communication about road conditions, enabling automated work orders and timely interventions.
9. Geo-fenced Jurisdiction
Leveraging GIS data, AI-driven tools can be programmed to focus on relevant regions or roads. Ensuring maintenance efforts and resources are directed where they are most required.
10. Inspector Safety
Prioritising the safety of inspectors is paramount. AI enables high-speed inspections on highways and rural roads, reducing the need for manual inspections and keeping inspectors less exposed to potential hazards.
Integrating AI into highway maintenance is about more than just adopting new technology. By understanding and integrating these ten essentials, your team will be well-equipped to improve highway conditions.
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