Data-driven Solutions to Transportation Problems – Ebook Instant Download/Delivery ISBN(s): 9780128170267,0128170263
Product details:
- ISBN-10 : 0128170263
- ISBN-13 : 978-0128170267
- Author(s):
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.
- 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
Table contents:
Chapter 1: Overview of Data-Driven Solutions
Chapter 2: Data-Driven Energy Efficient Driving Control in Connected Vehicle Environment
Chapter 3: Machine Learning and Computer Vision-Enabled Traffic Sensing Data Analysis and Quality Enhancement
Chapter 4: Data-Driven Approaches for Estimating Travel Time Reliability
Chapter 5: Urban Travel Behavior Study Based on Data Fusion Model
Chapter 6: Urban Travel Mobility Exploring With Large-Scale Trajectory Data
Chapter 7: Public Transportation Big Data Mining and Analysis
Chapter 8: Simulation-Based Optimization for Network Modeling With Heterogeneous Data
Chapter 9: Network Modelling and Resilience Analysis of Air Transportation: A Data-Driven, Open-Source Approach
Chapter 10: Health Assessment of Electric Multiple Units
Index
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