Cover for Data-Driven Solutions to Transportation Problems

Data-Driven Solutions to Transportation Problems

Book2019

Edited by:

Yinhai Wang and Ziqiang Zeng

Data-Driven Solutions to Transportation Problems

Book2019

 

Cover for Data-Driven Solutions to Transportation Problems

Edited by:

Yinhai Wang and Ziqiang Zeng

About the book

Browse this book

Book description

Data-Driven Solutions to Transportation Problems explores the fundamental principle of analyzing different types of transportation-related data using methodologies such as the data ... read full description

Browse content

Table of contents

Actions for selected chapters

Select all / Deselect all

  1. Full text access
  2. Book chapterAbstract only

    Chapter 1 - Overview of Data-Driven Solutions

    Yinhai Wang and Ziqiang Zeng

    Pages 1-10

  3. Book chapterAbstract only

    Chapter 2 - Data-Driven Energy Efficient Driving Control in Connected Vehicle Environment

    Xuewei Qi, Guoyuan Wu, ... Matthew J. Barth

    Pages 11-49

  4. Book chapterAbstract only

    Chapter 3 - Machine Learning and Computer Vision-Enabled Traffic Sensing Data Analysis and Quality Enhancement

    Guohui Zhang and Yinhai Wang

    Pages 51-79

  5. Book chapterAbstract only

    Chapter 4 - Data-Driven Approaches for Estimating Travel Time Reliability

    Shu Yang and Yao-Jan Wu

    Pages 81-110

  6. Book chapterAbstract only

    Chapter 5 - Urban Travel Behavior Study Based on Data Fusion Model

    Meng Li, Mingqiao Zou and Huiping Li

    Pages 111-135

  7. Book chapterAbstract only

    Chapter 6 - Urban Travel Mobility Exploring With Large-Scale Trajectory Data

    Jinjun Tang

    Pages 137-174

  8. Book chapterAbstract only

    Chapter 7 - Public Transportation Big Data Mining and Analysis

    Xiaolei Ma and Xi Chen

    Pages 175-200

  9. Book chapterAbstract only

    Chapter 8 - Simulation-Based Optimization for Network Modeling With Heterogeneous Data

    Xiqun (Michael) Chen

    Pages 201-225

  10. Book chapterAbstract only

    Chapter 9 - Network Modelling and Resilience Analysis of Air Transportation: A Data-Driven, Open-Source Approach

    Xiaoqian Sun and Sebastian Wandelt

    Pages 227-245

  11. Book chapterAbstract only

    Chapter 10 - Health Assessment of Electric Multiple Units

    Tianyun Shi, Haiyan Shen, ... Ge Guo

    Pages 247-263

  12. Book chapterNo access

    Index

    Pages 265-273

About the book

Description

Data-Driven Solutions to Transportation Problems explores the fundamental principle of analyzing different types of transportation-related data using methodologies such as the data fusion model, the big data mining approach, computer vision-enabled traffic sensing data analysis, and machine learning. The book examines the state-of-the-art in data-enabled methodologies, technologies and applications in transportation. Readers will learn how to solve problems relating to energy efficiency under connected vehicle environments, urban travel behavior, trajectory data-based travel pattern identification, public transportation analysis, traffic signal control efficiency, optimizing traffic networks network, and much more.

Data-Driven Solutions to Transportation Problems explores the fundamental principle of analyzing different types of transportation-related data using methodologies such as the data fusion model, the big data mining approach, computer vision-enabled traffic sensing data analysis, and machine learning. The book examines the state-of-the-art in data-enabled methodologies, technologies and applications in transportation. Readers will learn how to solve problems relating to energy efficiency under connected vehicle environments, urban travel behavior, trajectory data-based travel pattern identification, public transportation analysis, traffic signal control efficiency, optimizing traffic networks network, and much more.

Key Features

  • Synthesizes the newest developments in data-driven transportation science
  • Includes case studies and examples in each chapter that illustrate the application of methodologies and technologies employed
  • Useful for both theoretical and technically-oriented researchers
  • Synthesizes the newest developments in data-driven transportation science
  • Includes case studies and examples in each chapter that illustrate the application of methodologies and technologies employed
  • Useful for both theoretical and technically-oriented researchers

Details

ISBN

978-0-12-817026-7

Language

English

Published

2019

Copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Imprint

Elsevier

Editors

Yinhai Wang

University of Washington

Ziqiang Zeng

Sichuan University