本书详细讨论了车载自组织网络（VANET）和车载云计算（VCC）的安全性和隐私性、交通事件的自动检测和分类以及主动服务的生成和推送。建立体系结构是为了在逻辑上连接技术点。在交通事件检测的基础上，挖掘事件与驾驶服务之间的联系，实现服务的积极推动。本书内容丰富，技术先进，具有典型案例，是中国车载智能交通系统网络DASS的前沿著作。可作为交通信息工程与控制、交通规划与管理、交通应用工程等领域的本科生和研究生的教材。也适用于致力于智能交通系统的研究人员、工程师或技术人员。

INTRODUCTION
0.1 Research Background
0.2 Motivation and Research Work
Part Ⅰ DASS ARCHITECTURE
Chapter 1 DASS ARCHITECTURE BASED ON MULTI-AGENT COOPERATION THEORY
1.1 DASS Overview
1.2 DASS Architecture Based on Multi-Agent Collaboration Control
Part Ⅱ KEY TECHNOLOGIES FOR DASS
Chapter 2 VEHICULAR NETWORK TECHNOLOGY
2.1 Basic VANETs Overview
2.2 VANETs Architecture
2.3 VANETs Communication Methods
2.4 VANET's Standards
2.5 VANETs Characteristics
2.6 VANETs Security Attacks
2.7 Security Attacks in VANETs
2.8 Research Work on Security Services
2.9 Privacy-Preserving Authentication
2.10 Location Privacy in VANETs
2.11 Comparison of Cryptographic from Trust Management in VANETs
2.12 Evolution from VANETs to VCC
2.13 Security and Privacy in VC
2.14 VANET Applications
2.15 Open Research Challenges in VANETs
2.16 Open Research Challenges in VCC
2.17 Summary
Chapter 3 AUTOMATIC INCIDENT DETECTION BASED ON VEHICULAR COMMUNICATION
3.1 System Modelling
3.2 Collection of Traffic Information Data
3.3 Traffic Incident Estimation and Detection Technique
3.4 Model Comparisons
3.5 Simulation Results
3.6 Performance Evaluation on Freeway Data
3.7 Summary
Chapter 4 AUTOMATIC TRAFFIC INCIDENT CLASSIFICATION
4.1 ST Signals Generation and Moving Positions
4.2 Traffic Data and ST Signal Processing
4.3 Proposed Traffic Incident Estimation and Detection
4.4 Simulation and Results
4.5 Classification Accuracy Evaluation
4.6 Summary
Chapter 5 ENHANCED MULTIPLE MODEL PARTICLE FILTERING AND INCIDENT DETECTION TECHNIQUE
5.1 Problem Definition and System Modeling
5.2 Hybrid Estimation Model of Road Rage Incident Detection
5.3 Collection of Traffic Data
5.4 Notification Mechanism
5.5 RRIN Broadcast Control Methodology
5.6 Simulation Results and Validation
5.7 Summary
Chapter 6 HYBRID OBSERVER BASED DETECTION MODEL
6.1 Problem Formulation
6.2 System Modeling
6.3 Traffic State Estimation and Detection Modeling
6.4 Simulation Results
6.5 Experimental Results
6.6 Summary and Conclusion
Chapter 7 ACTIVE SERVICE GENERATION TECHNOLOGY
7.1 Active Generation Framework Based on Driving Environment
7.2 Active Generation Algorithm of DASS Service
7.3 Case Study and Verification of DASS Service Generation
Chapter 8 ACTIVE SERVICE PUSH TECHNOLOGY FOR DASS
8.1 Service Active Push Platform
8.2 Key Algorithms for Service Push
8.3 Experimental Verification and Analysis of DASS Push
Part Ⅲ APPLICATIONS CASE
Chapter 9 CASE 1: DASS APPLICATION VERIFICATION FOR HAZARD PARALLEL VEHICLE CONTROL SCENARIO
9.1 Introduction
9.2 Technical Background of Avoidance Control
9.3 BPNN Avoidance Model
9.4 Improved Avoidance Model Based on GM-HMM
9.5 Scene Matching and Application Evaluation of DASS
9.6 Simulation Test and Analysis
9.7 Summary
Chapter 10 DASS APPLICATION VERIFICATION FOR VEHICLE PLATOON ANTI-DISTURBANCE CONTROL
10.1 Introduction
10.2 Problem Formulation
10.3 Hierarchical Anti-Disturbance Controller
10.4 Simulation Examples
References