Data-Driven Approaches in Transportation Engineering

Lal, Bechoo

ISBN 10 : 1779569785 ISBN 13 : 9781779569783

Editeur : Arcler Press, 2026

Synopsis

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.

A propos du livre

À propos de l?auteur

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.

Détails de l'édition

• Éditeur: Arcler Press
• Date d'édition: 2026
• Langue: anglais
• ISBN 10: 1779569785
• ISBN 13: 9781779569783
• Reliure: Belle reliure
• Nombre de pages: 442
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible