Data-Driven Approaches in Transportation Engineering
Published on 1. March 2026
Book
Hardback
442 pages
978-1-77956-978-3 (ISBN)
Description
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.
More details
Language
English
Place of publication
Canada
Target group
Professional and scholarly
Product notice
Library binding
Dimensions
Height: 229 mm
Width: 152 mm
ISBN-13
978-1-77956-978-3 (9781779569783)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Person
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.