| Description |
1 online resource (362 pages) |
| Contents |
Intro; Title page; Table of Contents; Copyright; Contributors; List of Figures; List of Tables; Preface; Acronyms; Chapter 1: Overview of Data-Driven Solutions; Abstract; 1.1 General Background; 1.2 Data-Driven Innovation in Transportation Science; 1.3 Methodologies for Data-Driven Transportation Science; 1.4 Applications in Data-Driven Transportation Science; 1.5 Overview and Roadmap; Chapter 2: Data-Driven Energy Efficient Driving Control in Connected Vehicle Environment; Abstract; 2.1 Introduction; 2.2 Background and State of the Art; 2.3 Problem Formulation |
|
2.4 Data-Driven Evolutionary Algorithm (EA) Based Self-Adaptive On-Line Optimization2.5 Data-Driven Reinforcement Learning-Based Real-Time EMS; 2.6 Conclusions; Chapter 3: Machine Learning and Computer Vision-Enabled Traffic Sensing Data Analysis and Quality Enhancement; Abstract; 3.1 Introduction; 3.2 State of the Art and Practice; 3.3 Methodology; 3.4 Experimental Tests and Discussions; 3.5 Conclusions; Chapter 4: Data-Driven Approaches for Estimating Travel Time Reliability; Abstract; 4.1 Introduction; 4.2 State of the Art and the Practice; 4.3 Estimating Freeway TTR and Its Accuracy |
|
4.4 From Segment-Based TTR to OD-Based TTR4.5 Conclusion and Recommendations; Chapter 5: Urban Travel Behavior Study Based on Data Fusion Model; Abstract; 5.1 Introduction; 5.2 Research Background; 5.3 Agent-Based Traveler Behavior Model; 5.4 Behavior Model in Cooperation of VMS and Traffic Signal; 5.5 Conclusions; Chapter 6: Urban Travel Mobility Exploring With Large-Scale Trajectory Data; Abstract; 6.1 Introduction; 6.2 Transportation Demand Analysis and Attractiveness Modeling; 6.3 Trips Distribution Analysis; 6.4 Traffic Distribution Based on Entropy-Maximizing Model |
|
6.5 Network Construction and Dynamic Characteristics6.6 Spatial-Temporal Properties of Urban Travel; 6.7 Conclusions; Chapter 7: Public Transportation Big Data Mining and Analysis; Abstract; Acknowledgment; 7.1 Introduction; 7.2 Public Transportation Big Data Preprocessing Method; 7.3 Application of Public Transportation Data in Planning; 7.4 Application of Public Transportation Data in Operation and Management; 7.5 Introduction of a Public Transportation Big Data Platform Based on E-Science; 7.6 Conclusions |
|
Chapter 8: Simulation-Based Optimization for Network Modeling With Heterogeneous DataAbstract; Acknowledgments; 8.1 Introduction; 8.2 Literature Review; 8.3 Simulation-Based Optimization; 8.4 Application; 8.5 Conclusions; Chapter 9: Network Modelling and Resilience Analysis of Air Transportation: A Data-Driven, Open-Source Approach; Abstract; 9.1 Introduction; 9.2 Data Preparation; 9.3 Air Transportation Network Modeling; 9.4 Air Transportation Network Analysis; 9.5 Conclusions; Chapter 10: Health Assessment of Electric Multiple Units; Abstract; 10.1 Introduction |
| Notes |
10.2 Data Source and Structure |
|
Print version record |
| Form |
Electronic book
|
| Author |
Wang, Yinhai
|
| ISBN |
9780128170274 |
|
0128170271 |
|
