# New Taipei City Smart Pavement Management Center and Road Maintenance Analysis
## 2 Intelligent Inspection Planning
### Software Equipment and Training  
Software operation and reporting assessments are held quarterly. The following outlines the training for the AI-powered inspection vehicle and the APP-based reporting system (Figure 2).  
1. AI-Powered Inspection Vehicle  
Training includes familiarization with the vehicle's equipment (e.g., video cameras, radar, GPS) and learning how to operate these devices to ensure proper functioning.  
\begin{table}
\begin{tabular}{c c} \hline
**No.** & **Item** \\ \hline
1 & Road Repair Vehicle with Warning Signals \\ \hline
2 & Satellite Imaging System (Including GPS Tracking) \\ \hline
3 & Vehicle Warning System \\  & (Warning Lights, Warning Sirens, Flashing Message Signs, Public Address System) \\ \hline
4 & Repair Materials \\  & (Cold Mix Asphalt Concrete, High-Performance Asphalt Concrete, Cold Bitumen) \\ \hline
5 & Power Supply Equipment (Generator) \\ \hline
6 & Surface Removal Equipment (Surface Remover, Handheld Cutting Machine) \\ \hline
7 & Compactor \\ \hline
8 & Repair Tools (Round Shovels, Rakes, etc.) \\ \hline
9 & Traffic Maintenance Equipment (Traffic Cones, Traffic Barriers, Flashing Warning Lights) \\ \hline \end{tabular}
\end{table}
Table 1: Equipment Requirements for Basic Road Repair Vehicles.  
\begin{table}
\begin{tabular}{c c} \hline
**No.** & **Item** \\ \hline
1 & Inspection Vehicle \\ \hline
2 & High-Precision GPS \\ \hline
3 & Recognition Host (Processing Unit) \\ \hline
4 & Power Supply Unit \\ \hline
5 & Touchscreen Interface \\ \hline
6 & CCD Camera \\ \hline
7 & Vehicle-Mounted System \\ \hline
8 & Memory Storage \\ \hline
9 & Display Screen \\ \hline
10 & GPS Tracking System \\ \hline
11 & OBD Connector Cable \\ \hline
12 & Basic Pavement Leveling Tool \\ \hline \end{tabular}
\end{table}
Table 2: Equipment Requirements for AI-Powered Inspection Vehicles.  
Personnel are also trained in data collection, ensuring the accuracy and completeness of inspection data.  
Training covers the inspection process and Standard Operating Procedures (SOP), including planning inspection routes, operating equipment, recording data, identifying key inspection points, and reporting. Safety standards and incident reporting processes are also taught.  
Personnel are trained in data processing and learn how to upload, archive, analyze, and manage data and prepare inspection reports detailing road damage or hazardous areas [3].  
APP Real-Time Reporting System Operation  
The road reporting APP consists of two main components: the reporting function on the inspection side and the receiving function on the maintenance side.  
On the inspection side, when personnel identify road damage or abnormalities, they can immediately report the issue via the APP. The report includes details such as damage type, severity, and location, and is dispatched through a work order system to the appropriate maintenance team or contractor for prompt action. The report includes images and descriptions to facilitate preparation and planning for subsequent repairs.  
On the maintenance side, after receiving the report, personnel follow the work order specifications and construction procedures. They use the APP to take photos of the site at various stages (pre-repair, in-progress, and post-repair) and upload them to the system, documenting progress for project validation and invoicing.  
This real-time reporting system ensures timely and accurate issue reporting, with complete records of location, damage, and repair methods. All data are automatically transmitted to the system for EPCI (Simplified Pavement Condition Index) or PCI (Pavement Condition Index) analysis, helping evaluate road conditions, prioritize repairs, and guide future maintenance planning. Through this system, road management departments can more effectively monitor and manage maintenance, improving efficiency and extending road life [4] (Figure 3).  
Figure 2: Software Operation Interface of the AI-Powered Inspection Vehicle.