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Driving Tomorrow: Intelligent Transportation Systems (its) And Smart Roads Training Course in Taiwan (Province of China)

Introduction

As urban populations burgeon and the demand for efficient, safe, and sustainable mobility intensifies, Intelligent Transportation Systems (ITS) and the development of Smart Roads are no longer futuristic concepts but essential components of modern infrastructure. Leveraging advanced technologies, data analytics, and connectivity, ITS aims to optimize traffic flow, reduce congestion, enhance safety, and minimize environmental impact. This training course is meticulously designed to equip transportation engineers, urban planners, traffic managers, technology specialists, policy makers, and infrastructure developers with cutting-edge knowledge and practical skills in understanding ITS architectures, deploying advanced traffic management systems, implementing smart infrastructure for connected and autonomous vehicles, utilizing big data for real-time traffic insights, developing intelligent public transport solutions, and integrating cybersecurity measures into smart road networks. Participants will gain a comprehensive understanding of how to design, implement, and manage intelligent transportation solutions that pave the way for a more efficient, safer, and sustainable future of mobility.

Target Audience

  • Transportation Engineers
  • Urban Planners
  • Traffic Management Professionals
  • ITS System Integrators
  • Smart City Developers
  • Public Sector Transportation Agencies
  • Automotive Industry Professionals (focus on V2X)
  • Telecommunications & IoT Specialists

Objectives

  • Understand the fundamental concepts, architectures, and benefits of Intelligent Transportation Systems (ITS).
  • Master the principles and applications of various ITS components and technologies.
  • Design and implement advanced traffic management and control strategies.
  • Explore intelligent public transportation systems and their operational improvements.
  • Learn about the role of data analytics and artificial intelligence in ITS applications.
  • Understand the infrastructure requirements for connected and autonomous vehicles (CAV).
  • Develop skills in integrating cybersecurity measures into ITS and smart road networks.
  • Evaluate the economic, environmental, and social impacts of ITS deployments.
  • Navigate the regulatory, policy, and standardization landscape for ITS.
  • Formulate strategies for planning, procurement, and deployment of ITS projects.
  • Explore emerging trends and future developments in smart mobility solutions.

Course Content

Module 1. Introduction to Intelligent Transportation Systems (ITS)

  • Defining ITS: goals, objectives, and historical development
  • Benefits of ITS: safety, mobility, environmental sustainability
  • ITS architectures and functional areas (e.g., ATMS, ATIS, APTS)
  • Key components of ITS: sensors, communication, processing, control
  • Global perspectives and examples of successful ITS deployments

Module 2. Traffic Management and Control Systems (ATMS)

  • Traffic Surveillance: Loop detectors, video detection, radar, lidar
  • Traffic signal control strategies: adaptive, coordinated, responsive
  • Ramp metering and freeway management
  • Incident management systems: detection, verification, response
  • Corridor management and arterial control systems

Module 3. Traveler Information Systems (ATIS)

  • Real-time Traffic Information: Sources and dissemination methods
  • Variable Message Signs (VMS) and dynamic signage
  • In-vehicle navigation and routing systems
  • Public transport information systems
  • Mobile applications and web portals for traveler information

Module 4. Advanced Public Transportation Systems (APTS)

  • Intelligent Public Transport: Automatic Vehicle Location (AVL) and Automatic Passenger Counting (APC)
  • Real-time bus and train arrival information
  • Transit signal priority and bus rapid transit (BRT) support
  • Demand-responsive transit and micro-mobility integration
  • Fare collection systems and smart ticketing

Module 5. Electronic Payment and Pricing Systems

  • Electronic Toll Collection (ETC): Technologies and operational models
  • Congestion pricing and road user charging systems
  • Parking management and guidance systems
  • Multimodal payment integration
  • Enforcement technologies for electronic payments

Module 6. Commercial Vehicle Operations (CVO) and Freight Management

  • Electronic Screening: Weigh-in-motion (WIM) and automated credential checking
  • Fleet management and logistics optimization
  • Dangerous goods monitoring and tracking
  • Port and intermodal terminal efficiency improvements
  • Cross-border freight facilitation

Module 7. Connected and Autonomous Vehicle (CAV) Infrastructure

  • V2X Communication: Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I), Vehicle-to-Everything (V2X)
  • Dedicated Short-Range Communications (DSRC) and Cellular V2X (C-V2X)
  • Infrastructure support for autonomous vehicles: high-definition maps, precise positioning
  • Digital twins of road infrastructure for CAVs
  • Edge computing and cloud infrastructure for CAV data

Module 8. Data Management, Analytics, and AI in ITS

  • Big Data in Transportation: Sources, collection, and storage
  • Data fusion and integration from disparate sensors
  • Predictive analytics for traffic forecasting and incident prediction
  • AI and Machine Learning: Applications in traffic flow prediction, anomaly detection, optimization
  • Data visualization and decision support systems for traffic operators

Module 9. Cybersecurity for ITS and Smart Roads

  • Cybersecurity Threats: Vulnerabilities in ITS components and networks
  • Risk assessment and mitigation strategies for smart infrastructure
  • Secure communication protocols for V2X and ITS devices
  • Intrusion detection and response systems for transportation networks
  • Best practices for securing sensitive transportation data

Module 10. Emerging Technologies and Future Trends

  • Urban Air Mobility (UAM): Infrastructure and integration challenges
  • Hyperloop and other high-speed transit concepts
  • Quantum Computing: Potential impact on traffic optimization and encryption
  • Blockchain for secure data sharing in transportation
  • Digital Twins of entire transportation networks

Module 11. ITS Planning, Procurement, and Deployment

  • Strategic Planning: Needs assessment and goal setting for ITS projects
  • Feasibility studies and cost-benefit analysis
  • Procurement models for ITS solutions
  • Project management for ITS deployment
  • Stakeholder engagement and public acceptance strategies

Module 12. ITS Performance Evaluation and Monitoring

  • Performance Metrics: Measuring ITS effectiveness (e.g., travel time reliability, incident clearance time, safety)
  • Data collection for post-deployment evaluation
  • Cost-effectiveness analysis of ITS investments
  • Feedback mechanisms for continuous improvement
  • Case studies of ITS performance evaluation

Module 13. Smart Cities and Urban Mobility Integration

  • Smart City Concepts: Role of ITS in integrated urban management
  • Mobility as a Service (MaaS) platforms
  • Integration of various transport modes: walking, cycling, public transit, shared mobility
  • Urban logistics and last-mile delivery solutions
  • Planning for resilient and sustainable urban mobility systems

Module 14. ITS Standards, Policies, and Interoperability

  • ITS Standards Bodies: IEEE, ISO, SAE, IETF
  • National and international ITS policies and regulations
  • Interoperability challenges and solutions across different systems and jurisdictions
  • Data sharing protocols and agreements
  • Legal and ethical implications of ITS deployments

Module 15. Practical Applications and Case Studies

  • Review of successful ITS projects from different regions
  • Case Studies: In-depth analysis of specific ITS deployments (e.g., smart highways, smart intersections, integrated control centers)
  • Discussion of lessons learned and best practices
  • Interactive workshops on designing conceptual ITS solutions for real-world scenarios
  • Future outlook and opportunities in the ITS industry.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 7 working days before commencement of the training.

Course Schedule
Dates Fees Location Apply