Hybrid Statistical and Machine Learning Methods for Road Traffic Prediction: A Review and Tutorial

Book chapter

EAI/Springer Innovations in Communication and Computing, pp.115-133

EAI-Springer Innovations in Communication and Computing, Springer Nature

01/01/2020

Abstract

Computer Science

Computer Science, Information Systems

Computer Science, Interdisciplinary Applications

Computer Science, Theory & Methods

Engineering

Engineering, Electrical & Electronic

Green & Sustainable Science & Technology

Science & Technology

Science & Technology - Other Topics

Technology

Telecommunications

4 Record Views

Title: Hybrid Statistical and Machine Learning Methods for Road Traffic Prediction: A Review and Tutorial
Creators - without role: Bdoor Alsolami - King Abdulaziz University
Rashid Mehmood - King Abdulaziz University
Aiiad Albeshri - King Abdulaziz University
Contributors - without role: R Mehmood - King Abdulaziz University
S See
Katib
Chlamtac
Publication Details: EAI/Springer Innovations in Communication and Computing, pp.115-133
Series: EAI-Springer Innovations in Communication and Computing
Publisher: Springer Nature; CHAM
Number of pages: 19
Grant note: High Performance Computing (HPC) Center at the King Abdulaziz University, Jeddah
Identifiers: 9936658408331
Academic Unit: King Abdulaziz University
Language: English
Resource Type: Book chapter