隨機交通流模型是智能交通繫統、交通工程設計
、交通管理與控制等領域的應用基礎，對豐富現代交
通流理論體繫具有重要意義。道路交通流具有復雜性
、動態性和隨機性特征，新一代智能交通繫統對交通
流理論提出更高要求。陳喜群、李力、史其信編著的
這本《動態交通流的隨機演化（建模與應用英文版）
》應用多元異構數據，建立基於車輛軌跡信息的隨機
交通流模型，揭示交通流復雜動態性和隨機演化性的
內在機理。本書主要研究內容和成果表現在數據挖掘
、微觀關聯、宏觀關聯、匝道瓶頸建模等方面。
本書適合交通流和交通大數據領域的相關研究人
員和學生參考。

1 Introduction
1.1 Motivation
1.2 Objectives
1.3 Contributions
1.4 Organization
2 Literature Review
2.1 Introduction
2.2 Historical Development of Traffic Flow Theory
2.2.1 Macroscopic Modeling
2.2.2 Mesoscopic Modeling
2.2.3 Microscopic Modeling
2.2.4 Stochastic Modeling
2.3 Probabilistic Headway/Spacing Distributions
2.3.1 Simple Univariable Distributions
2.3.2 Compositional Distributions
2.3.3 Mixed Distributions
2.3.4 Random Matrix Model
2.4 Summary
3 Empirical Observations of Stochastic and Dynamic Evolutions of Traffic Flow
3.1 Introduction
3.2 Characteristics of Headway/Spacing/Velocity
3.3 Congested Platoon Oscillations
3.4 Time-Frequency Properties
3.5 Summary
4 A Markov Model Based on Headway/Spacing Distributions
4.1 Introduction
4.2 A Markov Model for Headway/Spacing Distributions
4.2.1 Background
4.2.2 Markov-Process Simulation Models
4.2.3 Simulation Results
4.2.4 Discussions
4.3 Asymmetric Stochastic Tau Theory in Car-Following
4.3.1 Asymmetric Stochastic Extension of the Tau Theory
4.3.2 Testing Results
4.3.3 Discussions
5 Stochastic Fundamental Diagram Based on Headway/Spacing Distributions
5.1 Introduction
5.2 Newell's Simplified Model and Its Stochastic Extension
5.3 The Homogeneous Platoon Model
5.3.1 Basic Idea
5.3.2 Summation of Lognormal Random Variables
5.3.3 Average Headway Distribution
5.3.4 Model Validation
5.3.5 Sensitivity Analysis
5.4 The Heterogeneous Platoon Model
5.4.1 Average Headway Distribution
5.4.2 Validation
5.4.3 Boundaries of Congested Flows
5.5 Summary
6 Traffic Flow Breakdown Model Based on Headway/Spacing Distributions
6.1 Introduction
6.2 Nonparametric Lifetime Statistics Approach
6.3 Queueing Models for Breakdown Probability
6.3.1 Backgrounds
6.3.2 Some Previous Models
6.3.3 G/G/1 Queueing Model
6.3.4 Discussions
6.3.5 Model Validation
6.3.6 Summary
6.4 Phase Diagram Analysis
6.4.1 Backgrounds
6.4.2 The Spatial-Temporal Queueing Model
6.4.3 The Analytical Solution for Phase Diagram
6.4.4 Numerical Example
6.5 Discussions
7 Conclusions and Future Work
Appendix A: Linear Stability Analysis of the Higher-Order Macroscopic Model
Appendix B: Linear Stability Analysis of the Multi-Anticipative Car-Following Models
References
Index