Toward Connected, Cooperative and Intelligent IoV

<p>Part I. Introduction.- Chapter 1. Background of IoV.- Chapter 2. State-of-the-Art.- Part II. Connected IoV: Vehicular Communications and Data Dissemination.- Chapter 3. Data Dissemination via I2V/V2V Communications in Software Defined Vehicular Networks.- Chapter 4. Network Coding Assisted Data Broadcast in Large-Scale Vehicular Networks.- Chapter 5. Fog Computing Empowered Data Dissemination in Heterogeneous Vehicular Networks.-&nbsp; Chapter 6. Temporal Data Uploading and Dissemination in Real-time Vehicular Networks.- Part III Cooperative IoV: End-Edge-Cloud Cooperative Scheduling and Optimization.- Chapter 7. Convex Optimization on Vehicular End-Edge-Cloud Cooperative Task Offloading.- Chapter 8. An Approximation Algorithm for Joint Data Uploading and Task Offloading in IoV.- &nbsp;Chapter 9. Distributed Task Offloading and Workload Balancing in IoV.- Part IV. Intelligent IoV: Key Enabling Technologies in Vehicular Edge Intelligence.- Chapter 10. Toward Timely and Reliable DNN Inference in Vehicular Edge Intelligence.- Chapter 11. Deep Q-learning based Adaptive Multimedia Streaming in Vehicular Edge Intelligence.- Chapter 12. A Multi-agent Multi-objective Deep Reinforcement Learning Solution for Digital Twin in Vehicular Edge Intelligence.- Part V. Case Studies.- Chapter 13. See Through System.- Chapter 14. Non-Line-of-Sight Collision Warning System.- Chapter 15. Proactive Traffic Abnormity Warning System.- Chapter 16. UAV-assisted Pedestrian Detection System.- Chapter 17. Vehicular Indoor Localization and Tracking System.- Part VI. Conclusion and Future Directions.- Chapter 18. Conclusion .- &nbsp;Chapter 19. Future Directions. </p><br><p></p>