Data-Driven Solutions to Transportation Problems (Paperback)

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.

General

Imprint:	Elsevier Science Publishing Co Inc
Country of origin:	United States
Release date:	December 2018
First published:	2019
Authors:	Yinhai Wang • Ziqiang Zeng
Dimensions:	229 x 152mm (L x W)
Format:	Paperback
Pages:	299
ISBN-13:	978-0-12-817026-7
Categories:	Books > Professional & Technical > Transport technology > General Books > Earth & environment > Regional & area planning > Transport planning & policy > General Books > Computing & IT > Applications of computing > Databases > General
LSN:	0-12-817026-3
Barcode:	9780128170267

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!