Estimating the impact of high-fidelity rainfall data on traffic conditions and traffic prediction

• Main Authors: Prokhorchuk, Anatolii, Mitrovic, Nikola, Muhammad Usman, Stevanovic, Aleksandar, Muhammad Tayyab Asif, Dauwels, Justin, Jaillet, Patrick
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering; Flow; Speed
• Online Access: https://hdl.handle.net/10356/161883
• Institution: Nanyang Technological University

Accurate prediction of network-level traffic parameters during inclement weather conditions can greatly help in many transportation applications. Rainfall tends to have a quantifiable impact on driving behavior and traffic network performance. This impact is often studied for low-resolution rainfall...