Digital Twin Technology for Autonomous Electric Vehicles
Recent Trends and Future Perspectives
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Product details:
- Publisher Elsevier Science
- Date of Publication 1 November 2026
- ISBN 9780443439629
- Binding Paperback
- No. of pages250 pages
- Size 229x152 mm
- Weight 450 g
- Language English 700
Categories
Long description:
Digital Twin Technology for Autonomous Electric Vehicles: Recent Trends and Future Perspectives serves as an essential guide for researchers, advanced students, and engineering professionals eager to harness the transformative potential of this cutting-edge approach. The volume offers an in-depth exploration of the intersection of DT software and AEVs, highlighting how this innovative strategy enhances vehicle functionality, efficiency, safety, and user experience. Reviewing the latest research outcomes and trends and touching on future perspectives, it provides a clear and actionable, step-by-step roadmap that also considers cybersecurity, regulation, ethics, and environmental friendliness.
Valuable case studies that incorporate practical insights and lessons learned are blended into the work, providing context and application examples in diverse settings. The experts behind the insightful chapters successfully respond to the need for a multidisciplinary resource that bridges theory and best practices while fostering collaborative efforts to further identify and leverage opportunities.
Table of Contents:
1. Introduction to Digital Twin Technology for AEVs
2. Autonomous Driving Test Methods Based on Digital Twins
3. Integration of Data-Driven Algorithms in Digital Twins for AEVs
4. IoT Integration in Digital Twin Systems for AEVs
5. Cybersecurity and Interoperability in Digital Twin Technology for AEVs
6. Digital Twin Deployment for AEVs: Regulatory, Ethical, and Security Considerations
7. Case Study 1: Implementation of Digital Twins for AEVs - America (North and South) and Europe
8. Case Study 2: Implementation of Digital Twins for AEVs - Asia, Australia and Africa
9. Comparative Study and Future Research Directions
10. Conclusion
