Data-Driven Approaches in Transportation Engineering (Library Binding) (ISBN-13: 9781779569783)

Vendor: Bechoo Lal
Product type: Books
Format: Library Binding
$180.00
$180.00
$180.00
Subtotal: $180.00
WR Book House

Data-Driven Approaches in Transportation Engineering

$180.00

Data-Driven Approaches in Transportation Engineering

$180.00
Format: Library Binding
Description
Description
x
Modern transportation systems rely heavily on data analytics to improve efficiency, safety, and sustainability. The application of big data and machine learning enables predictive modeling and intelligent infrastructure management. Data-Driven Approaches in Transportation Engineering focuses on analytical techniques for traffic flow analysis, network optimization, and urban mobility planning. It discusses data collection methods, simulation tools, and decision-making algorithms. The book also highlights case studies involving smart cities and intelligent transportation systems (ITS). Bridging engineering and data science, it offers valuable insights for planners, researchers, and policymakers in the mobility sector.

Author: Bechoo Lal
ISBN-10: 1779569785
ISBN-13: 9781779569783
Publisher: Arcler Press
Language: English
Published: 03/01/2026
Pages: 442
Format: Library Binding
By Bechoo Lal
By Bechoo Lal
x
Bechoo Lal, PhD. became a Member (M) of IAENG: International Association of Engineers, USA with membership (108820) in 2010, a Senior Member (SM) in 2019. I am doctorate PhD in Computer Science, PhD- Information System from University of Mumbai, M.Tech-CSE, Master of Computer Application (MCA) - Banaras Hindu University (BHU), India, and PGP- Data Science from Purdue University, USA. Currently I am working as an Associate Professor in Department of Computer Science & Engineering, Koneru Lakshmaiah Education Foundation (KLEF) - KL University Vijayawada Campus Andhra Pradesh, India. In addition to this I am supervising PhD research scholars from SJJT University, Rajasthan, India. My research areas are data science, big data analytics and Machine Learning.

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