---
title: Jakarto’s Intelligent Pavement Analysis
description: Jakarto enables consistent and rigorous monitoring of pavement conditions — from crack detection to freeze–thaw and road markings.
---

[News and Events](https://www.jakarto.com/en/blog)

# [Jakarto’s Intelligent Pavement Analysis](https://www.jakarto.com/en/blog/jakartos-intelligent-pavement-analysis)

 Written by [Jakarto](https://www.jakarto.com/en/blog/author/jakarto) | Oct 29, 2025 1:20:16 PM

🛣️ From Crack Detection to Freeze–Thaw Monitoring. 

Road surfaces are at the heart of our transportation infrastructure, and their maintenance remains a constant challenge. Thanks to high-precision LiDAR scanning (2 million measurements per second) and Jakarto’s AI algorithms, it is now possible to gain a complete, detailed understanding of pavement conditions — from fine crack detection to the analysis of freeze–thaw impacts.

Jakarto offers a multi-scale approach that goes far beyond traditional inspections:

- **Crack detection:** measurement of length, depth, orientation, and distribution.
- **Hexagonal analysis:** classification of pavement quality by homogeneous segments.
- **Management indices:** surface roughness, transverse and longitudinal cracking, and an overall quality index.

All this information is delivered in GIS-compatible formats and seamlessly integrated into **Jakartowns** and the **Asset Viewer**, giving infrastructure managers an intuitive interface to visualize, compare, and prioritize maintenance activities.

### ⏱️ Annual Monitoring Instead of Every Five Years

Traditionally, pavement inspections are carried out on a five-year cycle — often forcing municipalities to react to issues rather than prevent them. With Jakarto, cities can now be **mapped every year**, providing:

- **Continuous and rigorous monitoring** of pavement evolution.
- **Early detection** of degradation before it becomes critical.
- **More proactive and cost-effective** maintenance planning.

This shift in approach transforms road management into a **dynamic and preventive process**, rather than a series of isolated interventions.

 

### ❄️ Adding a New Dimension: Freeze and Thaw

In Québec, freeze–thaw cycles are a major factor in pavement deterioration. In collaboration with the **City of Québec**, Jakarto demonstrated the effectiveness of 3D surveys in identifying seasonal heaving and measuring its extent.

- **Thermal maps** reveal the most vulnerable areas (pages 6–8, 13–17 of the report).
- City managers can **anticipate at-risk zones**, plan budgets, and reduce emergency repair costs.

This ability to combine structural analysis with climate impact assessment positions **Jakarto** as a key player in proactive road management.

### 💡 A Decision-Making Tool

By combining **crack analysis, road marking inventory, and freeze–thaw monitoring**, Jakarto empowers municipalities to:

- **Objectively prioritize** maintenance work.
- **Optimize budgets** with a clear understanding of actual needs.
- **Maintain a historical record** within the digital twin for long-term planning.
- **End the traditional five-year inspection cycle:** by mapping the city annually, Jakarto enables **consistent, reliable monitoring** of pavement conditions.

##### 👉 **Jakarto enables consistent and rigorous monitoring of pavement conditions.**

### 🎨 And What About Road Markings?

Beyond pavement condition, Jakarto also provides a **comprehensive inventory of road markings** — whether **point features** (directional arrows, symbols), **linear markings** (continuous or dashed lines, bike lanes), or **polygonal elements** (crosswalks, stop lines).

- Each marking is identified by its **type, position, color, and description**.
- The inventory is based on standardized datasets, including Québec’s **Tome V – Road Signage** reference.
- This data allows cities to **plan road marking maintenance efficiently**, ensure **user safety**, and maintain **network visibility** over time.

 

### 🌟 Conclusion

By combining pavement analysis with freeze–thaw monitoring, Jakarto delivers a **unique and innovative solution**.

This approach — powered by the **precision of [Z+F LiDAR](https://zf-usa.com/laser-scanners/)**, **AI-driven automation**, and **real-world collaborations** like the [City of Québec](https://www.ville.quebec.qc.ca/) — transforms how municipalities manage their roads.

Above all, it enables **annual monitoring** of pavement evolution, enhancing road safety and reducing maintenance costs — with far greater precision and relevance than traditional five-year inspections.

[View full post](https://www.jakarto.com/en/blog/jakartos-intelligent-pavement-analysis)

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