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