(Click Category to List Courses)
18 - CCE - Construction, Civil and Marine Engineering
CCE 309 - Managing Road Operation and Maintenance Projects Using Artificial Intelligence (AI)
| Code | Start Date | Duration | Venue | |
|---|---|---|---|---|
| CCE 309 | 16 June 2025 | 5 Days | Istanbul | Registration Form Link |
| CCE 309 | 11 August 2025 | 5 Days | Istanbul | Registration Form Link |
| CCE 309 | 14 September 2025 | 5 Days | Kuala Lumpur | Registration Form Link |
| CCE 309 | 06 October 2025 | 5 Days | Istanbul | Registration Form Link |
| CCE 309 | 01 December 2025 | 5 Days | Istanbul | Registration Form Link |
Please contact us for fees
Course Description
This 5-day training course introduces professionals in civil engineering and infrastructure management to the transformative role of Artificial Intelligence (AI) in road operations and maintenance. Through a blend of theory, technology insights, case studies, and practical exercises, participants will explore how AI can enhance the efficiency, safety, and longevity of road networks. Covering topics from predictive maintenance to smart project planning, the course provides a structured pathway to understand, evaluate, and begin integrating AI solutions in real-world road infrastructure projects.
Course Objectives
- Understand foundational AI concepts and how they apply specifically to road infrastructure
- Identify components and challenges in road operation and maintenance, and recognize how AI addresses these pain points
- Explore core enabling technologies such as machine learning, IoT, computer vision, and drones, and their integration with road-related data
- Assess real-time monitoring and predictive maintenance tools to optimize road condition assessments and repair planning
- Apply AI in project planning and safety management, including scheduling, budgeting, and risk analysis
- Develop a strategic approach to AI implementation, considering data, procurement, and institutional readiness
- Create and present AI-based proposals tailored to real or hypothetical road maintenance challenges
Who Should Attend?
- Civil Egineers
- Transportation Planners
- Public Sector Officials
- Infrastructure Consultants
- Smart City Specialists
- Asset Managers
- Operations & Maintenance Contractors
Course Details/Schedule
Day 1
- Understanding AI in road infrastructure
- Overview of AI – key concepts and how they apply in civil engineering
- Differences between traditional programming and AI-based systems
- Applications in infrastructure: automation, anomaly detection, decision support
- Road operation & maintenance (O&M) – components, challenges, and current practices
- Traditional methods: manual inspections, time-based maintenance schedules
- AI Relevance in road Projects – trends, and global/local examples
- Trends: smart highways, digital twins, autonomous inspection tools
Day 2
- Data and technologies driving AI in road O&M
- Key technologies: Machine learning, IoT, drones, sensors, and computer vision
- Data for road projects
- Traffic, pavement, weather, and sensor data
- Data collection & integration – methods (e.g., LIDAR, CCTV), storage, and quality
Day 3
- AI Applications in monitoring & maintenance
- Predictive maintenance
- Using AI to forecast road wear, failures, and optimize repairs
- Asset condition monitoring
- AI-powered tools for real-time road assessment
- Workshop: map data inputs to AI tools in real-world scenarios
Day 4
- AI in project planning and decision-making
- Smart project management
- AI in scheduling, budgeting, and resource allocation
- Risk & safety management
- AI-driven incident prediction and response
- Practical exercise: Design a smart maintenance plan using AI tools
Day 5
- Implementation strategy and future outlook
- Implementation challenges
- Data issues, skills gaps, and procurement
- Adoption roadmap
- Steps to integrate AI in public and private sector road projects
