Traffic Safety Analysis using Machine Learning, Data Science, Predictive Analytics, and Data Mining

Continental Academy Press

Published by Continental Academy Press, London

About this Item

Traffic Safety Analysis using Machine Learning, Data Science, Predictive Analytics, and Data Mining showcases the pivotal role of data-driven approaches in improving traffic safety. By applying machine learning algorithms, data science techniques, and predictive analytics, traffic engineers can identify high-risk areas, optimize traffic signal timing, and develop targeted safety strategies. This book explores the latest advancements in traffic safety analysis, including data visualization, spatial modeling, and predictive modeling. With its focus on practical applications and real-world case studies, this resource equips professionals with the skills to leverage data-driven approaches in traffic safety analysis. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Seller Inventory # CESWIMMB5JQE2

Bibliographic Details

• Title: Traffic Safety Analysis using Machine Learning, Data Science, Predictive Analytics, and Data Mining
• Publisher: Continental Academy Press, London
• Binding: Softcover
• Edition: First.
• Condition: New
• Dust Jacket Condition: no dj
• Seller catalogs:
  • Traffic Safety Analysis
  • Machine Learning