Preface; Acknowledgments; Contents; 1 Congestion Management in Motorways and Urban Networks Through a Bargaining-Game-Based Coordination Mechanism; Abstract; 1 Introduction; 2 Non-linear Distributed Model Predictive Control: Bargaining Game Approach; 2.1 Problem Statement; 2.2 The Distributed Model Predictive Control Game; 3 Bargaining-Game-Based Coordination for Congestion Management on Motorways; 3.1 Motorway Traffic Model; 3.2 Bargaining-Game Approach to Congestion Management on Motorways; 3.3 Simulation and Results; 4 Bargaining-Game-Based Coordination for Urban Congestion Management

4.1 Urban Traffic Model4.2 Bargaining-Game Approach to Congestion Management in Urban Traffic; 4.3 Simulation and Results; 4.4 Disagreement Point Analysis; 5 Conclusion; Acknowledgments; References; 2 Advanced Information Feedback Coupled with an Evolutionary Game in Intelligent Transportation Systems; Abstract; 1 Introduction; 2 The Models and Feedback Strategies; 2.1 Notations; 2.2 Evolutionary Game Theory; 2.3 The NS Mechanism; 2.4 Two-Route Model and Exit Scenario; 2.4.1 Two-Route Scenario; 2.4.2 Exit Scenario; 2.5 Related Definitions; 3 Simulation Results

3.1 Advanced Information Feedback in a 1-2-1 Route ITS3.2 Evolutionary Game Coupled with the NS Model in a 1-2-1 Route ITS; 4 Conclusion; Acknowledgments; References; 3 Solving a Dynamic User-Optimal Route Guidance Problem Based on Joint Strategy Fictitious Play; Abstract; 1 Introduction; 2 User-Optimal Route Guidance Problem; 2.1 Problem Formulation; 2.2 Traffic Flow Model and Link Travel Time Prediction; 2.3 Iterative Solution Algorithm Based on the MSA; 3 Joint Strategy Fictitious Play for Dynamic User-Optimal Route Guidance Problem; 3.1 Fictitious Play

3.2 Distributed Joint Strategy Fictitious Play Algorithm Under Information Provision4 Numerical Study; 4.1 Computational Results; 5 Conclusions; Acknowledgments; References; 4 A Psycho-Social Agent-Based Model of Driver Behavior Dynamics; Abstract; 1 Introduction; 2 Holistic-Emergent Social Interaction-Oriented Dynamics (HESIOD) Model; 3 Control Dimensions and Communication Topologies; 4 Results; 5 Concluding Remarks and Further Issues; References; 5 Game-Theoretic Context and Interpretation of Kerner's Three-Phase Traffic Theory; Abstract; 1 Introduction

2 Four Classical Developments in Traffic Theory3 Kerner's Empirically Based Theory; 4 Common Games in Traffic Theory; 4.1 Two-Player Traffic Games; 4.1.1 Two-Player Chicken Game; 4.1.2 Two-Player Battle of the Sexes; 4.1.3 Two-Player Prisoner's Dilemma; 4.1.4 Two-Player Coordination Game; 4.2 n-Player Traffic Games; 4.2.1 n-Player Chicken Game; 4.2.2 n-Player Battle of the Sexes; 4.2.3 n-Player Prisoner's Dilemma; 4.2.4 n-Player Coordination Game; 5 Linking the Four Classical Developments with Game Theory; 6 Linking Kerner's Three-Phase Traffic Theory with Game Theory; 7 Conclusion