Smart Roads and Intelligent Transport Systems (ITS)
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Duration: 5 Days
๐ฏ Target Audience: Expert Road Engineers in Public Construction Authorities
๐ท Skill Level: Advanced
Course Objectives:
By the end of this course, participants will be able to:
โ Understand the concept and components of smart road infrastructure.
โ Design and integrate Intelligent Transport Systems (ITS) in road networks.
โ Implement real-time traffic monitoring, adaptive signaling, and automated tolling.
โ Utilize IoT, AI, and Big Data analytics for traffic optimization.
โ Enhance road safety through connected vehicles (V2X) and automated traffic control.
โ Develop sustainable and energy-efficient smart road solutions.
โ Apply smart pavement technologies, including self-healing asphalt and solar roads.
Course Outline:
๐ข Day 1: Introduction to Smart Roads & ITS
๐น Overview of smart road technologies and their impact.
๐น Key components of Intelligent Transport Systems (ITS).
๐น Smart highways and urban mobility innovations.
๐น Real-time data collection: IoT sensors, GPS, and AI-based monitoring.
๐น Case study: Implementation of ITS in a major metropolitan area.
๐ข Day 2: ITS for Traffic Management & Road Safety
๐น Adaptive traffic control systems (ATCS).
๐น Smart traffic lights and AI-driven signal optimization.
๐น Vehicle-to-Everything (V2X) communication for accident prevention.
๐น Intelligent incident management systems (automated accident detection).
๐น Case study: Redesigning a cityโs traffic management system using ITS.
๐ข Day 3: Smart Tolling, Automated Parking & Connected Vehicles
๐น Electronic Toll Collection (ETC) & congestion pricing.
๐น Automated and AI-based parking management.
๐น Autonomous vehicle integration with smart roads.
๐น Case study: Developing a smart toll system for expressways.
๐ข Day 4: Emerging Technologies in Smart Roads
๐น AI-powered predictive maintenance for roads.
๐น Smart pavements: self-healing asphalt, solar roads, energy-harvesting materials.
๐น 5G and IoT applications in connected infrastructure.
๐น Cybersecurity and data privacy concerns in ITS.
๐น Case study: Assessing the feasibility of smart pavements in urban highways.
๐ข Day 5: Case Study & Real-World Application
๐น Hands-on case study: Designing a Smart Road Network.
๐น Group discussion on challenges and implementation strategies.
๐น Presentation of recommendations for a smart city road.
๐น Course assessment and feedback session.
๐ Tools & Software Used:
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ITS Simulation Software (SUMO, VISSIM, AIMSUN) โ For traffic flow modeling.
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GIS & AI-Based Traffic Monitoring Tools โ For smart road analytics.
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IoT & 5G Connectivity Platforms โ For connected vehicle simulations.
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