Course Overview
This course explores the transformative role of autonomous and connected vehicle (ACV) technologies in building sustainable transport systems. It examines the integration of artificial intelligence (AI), vehicle-to-everything (V2X) communication, and smart mobility solutions to enhance efficiency, safety, and environmental sustainability. Participants will gain insights into regulatory frameworks, investment opportunities, and emerging business models in the autonomous and connected vehicle ecosystem.
Through case studies, interactive discussions, and practical exercises, the course equips participants with the knowledge to navigate the evolving ACV landscape and leverage innovative mobility solutions for sustainable urban transport.
Duration:
5 Days
Target Audience:
- Transportation and Mobility Planners
- Automotive Industry Professionals
- Smart City and Urban Development Experts
- Government Regulators and Policy Analysts
- Energy and Sustainability Consultants
- Investors and Venture Capitalists in Mobility Tech
- AI and IoT Developers in the Transportation Sector
Personal Impact:
- Comprehensive understanding of autonomous and connected vehicle technologies
- Ability to assess the sustainability impact of ACVs in urban mobility
- Knowledge of emerging regulatory frameworks and policies
- Insights into business models and investment strategies for ACVs
- Skills to evaluate and implement smart transport solutions
Organizational Impact:
- Enhanced ability to integrate ACV solutions into sustainable transport planning
- Improved decision-making on infrastructure investments for connected mobility
- Alignment with global sustainability and emissions reduction goals
- Increased competitiveness in the smart mobility and transportation sector
- Stronger regulatory compliance and risk management for ACV deployment
Course Level:
Course Objectives:
- Examine the role of autonomous and connected vehicles in sustainable mobility
- Understand key enabling technologies such as AI, IoT, and V2X communication
- Analyze regulatory challenges and policy frameworks governing ACVs
- Explore investment trends and business opportunities in smart mobility
- Identify risks and ethical considerations in autonomous transport adoption
- Develop strategies for integrating ACVs into existing transportation systems
Course Outline
Module 1: Introduction to Autonomous and Connected Vehicle Technologies
- Fundamentals of autonomous driving and levels of automation
- The role of AI, machine learning, and sensor fusion in ACVs
- Vehicle-to-everything (V2X) communication and smart infrastructure integration
- Case Study: Global ACV adoption trends and technological advancements
Module 2: Sustainable Mobility and Environmental Impact of ACVs
- The potential of ACVs to reduce emissions and congestion
- Integration with renewable energy and electric vehicle (EV) systems
- Shared mobility and ride-hailing business models for sustainability
- Hands-on Activity: Assessing the carbon footprint of ACVs in urban settings
Module 3: Policy, Regulation, and Safety Considerations
- Government policies and regulatory landscape for ACVs
- Safety and cybersecurity challenges in connected vehicle networks
- Ethical and legal considerations in autonomous driving decision-making
- Case Study: Comparative analysis of ACV regulations in different countries
Module 4: Investment and Business Models in Autonomous and Connected Vehicles
- Emerging business models: Mobility-as-a-Service (MaaS) and fleet automation
- Public-private partnerships (PPP) in ACV deployment
- Financing and investment strategies for ACV infrastructure and startups
- Hands-on Activity: Designing a business model for an autonomous transport solution
Module 5: Future Trends and Strategic Roadmap for ACV Implementation
- Advancements in AI and sensor technology for autonomous driving
- The role of 5G, edge computing, and digital twins in ACV development
- Strategic roadmap for cities and businesses adopting ACVs
- Hands-on Activity: Developing a smart mobility plan for an autonomous transport system
Related Courses
Course Administration Details:
METHODOLOGY
The instructor-led trainings are delivered using a blended learning approach and comprise presentations, guided sessions of practical exercise, web-based tutorials, and group work. Our facilitators are seasoned industry experts with years of experience, working as professionals and trainers in these fields. All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.
ACCREDITATION
Upon successful completion of this training, participants will be issued an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).
TRAINING VENUE
The training will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.
ACCOMMODATION AND AIRPORT PICKUP
Accommodation and airport pickup are arranged upon request. For reservations contact the Training Officer.
- Email: [email protected]
- Phone: +254715 077 817
TAILOR-MADE
This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location. For further inquiries, please contact us on:
- Email: [email protected]
- Phone: +254715 077 817
PAYMENT
Payment should be transferred to the IRES account through a bank on or before the start of the course. Send proof of payment to [email protected]
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