Data Driven Solutions to Transportation Problems

This book PDF is perfect for those who love Transportation genre, written by Yinhai Wang and published by Elsevier which was released on 04 December 2018 with total hardcover pages 299. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Data Driven Solutions to Transportation Problems books below.

Data Driven Solutions to Transportation Problems
Author : Yinhai Wang
File Size : 51,7 Mb
Publisher : Elsevier
Language : English
Release Date : 04 December 2018
ISBN : 9780128170274
Pages : 299 pages
Get Book

Data Driven Solutions to Transportation Problems by Yinhai Wang Book PDF Summary

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

Data Driven Solutions to Transportation Problems

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

Get Book
Data Mining and Big Data

This two-volume set, CCIS 1744 and CCIS 1745 book constitutes the 7th International Conference, on Data Mining and Big Data, DMBD 2022, held in Beijing, China, in November 21–24, 2022. The 62 full papers presented in this two-volume set included in this book were carefully reviewed and selected from 135 submissions. The papers present the latest research

Get Book
HCI in Mobility  Transport  and Automotive Systems

This book constitutes the refereed proceedings of the Third International Conference on HCI in Mobility, Transport, and Automotive Systems, MobiTAS 2021, held as part of the 23rd International Conference, HCI International 2021, held as a virtual event, in July 2021. The total of 1276 papers and 241 posters included in the 39 HCII 2021 proceedings volumes was

Get Book
Handbook on Tourism and Behaviour Change

A must-read for researchers and practitioners focusing on how the tourism industry needs to evolve given the societal and sustainability challenges we face, this comprehensive Handbook serves as a vital reference point for advanced research in tourism and behaviour change. Chapters depict critical reviews and debates on the topic, comprising

Get Book
Logic Driven Traffic Big Data Analytics

This book starts from the relationship between urban built environment and travel behavior and focuses on analyzing the origin of traffic phenomena behind the data through multi-source traffic big data, which makes the book unique and different from the previous data-driven traffic big data analysis literature. This book focuses on

Get Book
Digital Transformation and Global Society

This book constitutes the refereed proceedings of the Second International Conference on Digital Transformation and Global Society, DTGS 2017, held in St. Petersburg, Russia, in June 2017. The 34 revised full papers and three revised short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in topical sections on

Get Book
Data Analytics for Intelligent Transportation Systems

Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems that includes detailed coverage of the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the

Get Book
Handbook on Decision Making

Decision making arises when we wish to select the best possible course of action from a set of alternatives. With advancements of the digital technologies, it is easy, and almost instantaneous, to gather a large volume of information and/or data pertaining to a problem that we want to solve.

Get Book