Fundamentals of Traffic Simulation

Online-Ressource (XVIII, 442 p, digital)

International Series in Operations Research & Management Science ; 145

Includes bibliographical references and index

Preface; Contents; Contributors; About the Authors; 1 Models, Traffic Models, Simulation, and Traffic Simulation; 1.1 The Concept of Model: A Scientific Approach to Systems Analysis; 1.2 The Model-Building Process: Methodological Framework; 1.3 Algorithmic Framework for Dynamic Traffic Models: Dynamic Traffic Assignment and Dynamic User Equilibrium; 1.4 Principles of Traffic Flow Modeling; 1.4.1 Macroscopic Modeling of Traffic Flows; 1.4.2 Microscopic Modeling of Traffic Flows; 1.4.3 Mesoscopic Modeling of Traffic Flows; 1.5 Calibration and Validation of Traffic Simulation Models

1.6 Concluding RemarksReferences; 2 Microscopic Traffic Flow Simulator VISSIM; 2.1 History and Applications of VISSIM; 2.2 Model Building Principles; 2.2.1 System Architecture; 2.2.2 Infrastructure Modeling; 2.2.2.1 Links and Connectors; 2.2.2.2 Other Network Elements; 2.2.3 Traffic Modeling; 2.2.3.1 Private Transport; 2.2.3.2 Public Transport; 2.2.4 Traffic Control; 2.2.4.1 Non-signalized Intersections; 2.2.4.2 Signalized Intersections; 2.2.5 Data Output; 2.3 Fundamental Core Models; 2.3.1 Car Following; 2.3.2 Lateral Movements; 2.3.2.1 Lane Selection; 2.3.2.2 Lane Changing

2.3.2.3 Continuous Lateral Movement2.3.3 Tactical Driving Behavior; 2.3.3.1 Anticipated Driving at Conflict Areas; 2.3.3.2 Cooperative Merging; 2.3.4 Pedestrian Modeling; 2.3.4.1 Path Choice; 2.3.5 Fixed Routes; 2.3.6 Dynamic Routing; 2.3.7 Dynamic Assignment; 2.4 Calibration and Validation; 2.4.1 Calibration Based on Microscopic Data; 2.5 Interfaces to External Applications; 2.5.1 Application Programming Interface; 2.5.2 External Signal Controllers; 2.5.3 External Driver Model; 2.5.4 External Emission Modeling; References; 3 Traffic Simulation with AVENUE; 3.1 Introduction

3.2 Modeling Principles3.2.1 Hybrid Approach of the Traffic Flow Modeling; 3.2.2 Dynamic Route Choice Model; 3.2.3 Common Framework of Network Traffic Simulation Models; 3.2.4 All-In-One Software Package; 3.3 Traffic Flow Modeling; 3.3.1 The Hybrid Block Density Method; 3.3.2 Modeling of Lane Choice and Traffic Regulations; 3.4 Dynamic Traffic Assignment; 3.4.1 Modeling Principal for the Dynamic Route Choice Behavior; 3.4.2 Dual-Graph Expression for the Route Guidance; 3.5 Calibration and Validation; 3.5.1 Promotion of Verification and Validation Policy by JSTE

3.5.1.1 Necessity of Standardized Verification and Validation3.5.1.2 Japanese Verification Manual and Benchmark Data Set for Validation; 3.5.1.3 Verification of AVENUE with Standard Verification Manual; 3.5.1.4 Vehicle Generation; 3.5.1.5 Shockwave Propagation; 3.5.1.6 DSUO in the Route Choice Model; 3.5.2 Validation of AVENUE with Standard Benchmark Data Set; 3.6 Extended Modeling Capabilities: Working with External Applications; 3.6.1 Time-Dependent OD Estimation; 3.6.1.1 Outline of the Method; 3.6.1.2 Relationship Between OD Flow and Link Flow; 3.6.1.3 Estimation of Unique OD Matrix

3.6.1.4 Application to Tokyo Metropolitan Expressway

Cover13;Preface -- Contents -- Contributors -- About the Authors -- 1 Models, Traffic Models, Simulation, and Traffic Simulation -- 1.1 The Concept of Model: A Scientific Approach to Systems Analysis -- 1.2 The Model-Building Process: Methodological Framework -- 1.3 Algorithmic Framework for Dynamic Traffic Models: Dynamic Traffic Assignment and Dynamic User Equilibrium -- 1.4 Principles of Traffic Flow Modeling -- 1.4.1 Macroscopic Modeling of Traffic Flows -- 1.4.2 Microscopic Modeling of Traffic Flows -- 1.4.3 Mesoscopic Modeling of Traffic Flows -- 1.5 Calibration and Validation of Traffic Simulation Models -- 1.6 Concluding Remarks -- References -- 2 Microscopic Traffic Flow Simulator VISSIM -- 2.1 History and Applications of VISSIM -- 2.2 Model Building Principles -- 2.2.1 System Architecture -- 2.2.2 Infrastructure Modeling -- 2.2.3 Traffic Modeling -- 2.2.4 Traffic Control -- 2.2.5 Data Output -- 2.3 Fundamental Core Models -- 2.3.1 Car Following -- 2.3.2 Lateral Movements -- 2.3.3 Tactical Driving Behavior -- 2.3.4 Pedestrian Modeling -- 2.3.5 Fixed Routes -- 2.3.6 Dynamic Routing -- 2.3.7 Dynamic Assignment -- 2.4 Calibration and Validation -- 2.4.1 Calibration Based on Microscopic Data -- 2.5 Interfaces to External Applications -- 2.5.1 Application Programming Interface -- 2.5.2 External Signal Controllers -- 2.5.3 External Driver Model -- 2.5.4 External Emission Modeling -- References -- 3 Traffic Simulation with AVENUE -- 3.1 Introduction -- 3.2 Modeling Principles -- 3.2.1 Hybrid Approach of the Traffic Flow Modeling -- 3.2.2 Dynamic Route Choice Model -- 3.2.3 Common Framework of Network Traffic Simulation Models -- 3.2.4 All-In-One Software Package -- 3.3 Traffic Flow Modeling -- 3.3.1 The Hybrid Block Density Method -- 3.3.2 Modeling of Lane Choice and Traffic Regulations -- 3.4 Dynamic Traffic Assignment -- 3.4.1 Modeling Principal for the Dynamic Route Choice Behavior -- 3.4.2 Dual-Graph Expression for the Route Guidance -- 3.5 Calibration and Validation -- 3.5.1 Promotion of Verification and Validation Policy by JSTE -- 3.5.2 Validation of AVENUE with Standard Benchmark Data Set -- 3.6 Extended Modeling Capabilities: Working with External Applications -- 3.6.1 Time-Dependent OD Estimation -- 3.6.2 Automatic Parameter Tuning -- 3.6.3 Valuation Platform of Vehicle Probe Information System -- 3.6.4 Valuation Platform for Adaptive Signal Control System -- 3.7 Selected Overview of Advanced Case Studies and Applications Estimation of City-Scale Noise Level Distribution from Road Traffic -- 3.8 Modeling Details of Advanced Case Studies -- 3.8.1 Capacity Reduction by a On-Street-Parked Vehicle -- 3.8.2 LRT and Public Transportation Priority System -- 3.8.3 Pedestrian Crossing -- References -- 4 Traffic Simulation with Paramics -- 4.1 Introduction -- 4.2 Applications -- 4.3 Model-Building Principles -- 4.3.1 Principles -- 4.3.2 Network Construction -- 4.3.3 Vehicles and Demand -- 4.3.4 Presentation -- 4.4 Simulation Model -- 4.4.1 Environment -- 4.5 Gap Acceptance -- 4.6 Assignment -- 4.6.1 Driver Knowledge -- 4.6.2 Road Network -- 4.6.3 Static Assignment -- 4.6.4 Dynamic Assignment -- 4.7 Calibration and Validation -- 4.7.1 Assignment Calibration -- 4.7.2 Behaviour Calibration -- 4.7.3 Validation -- 4.8 Extensions.

10.1007/978-1-4419-6142-6 [DOI]

ECONIS - Online Catalogue of the ZBW