Data-driven Solutions to Transportation Problems 1st Edition- Ebook PDF Instant Delivery – ISBN(s): 9780128170267,0128170263,9780128170274, 0128170271
Product details:
- ISBN-10 : 0128170271
- ISBN-13 : 9780128170274
- Author: Yinhai Wang , Ziqiang Zeng
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.
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
People also search:
data driven problems
a transportation problem has an optimal solution when
using data to solve business problems
solutions to public transportation problems
solutions for transportation