@article{ref1,
title="Short-term traffic forecasting model: prevailing trends and guidelines",
journal="Transportation safety and environment",
year="2023",
author="Soon, Kian Lun and Chan, Robin Kuok Cheong and Lim, Joanne Mun-Yee and Parthiban, Rajendran",
volume="5",
number="3",
pages="tdac058-tdac058",
abstract="The design parameters serve as an integral part of developing a robust short-term traffic forecasting model. These parameters include scope determination, input data preparation, output parameters and modelling techniques. This paper takes a further leap to analyse the recent trend of design parameters through a systematic literature review based on peer-reviewed articles up to 2021. The key important findings are summarized along with the challenges of performing short-term traffic forecasting. Intuitively, this paper offers insights into the next wave of research that contributes significantly to industries.<p /> <p>Language: en</p>",
language="en",
issn="2631-4428",
doi="10.1093/tse/tdac058",
url="http://dx.doi.org/10.1093/tse/tdac058"
}