Short-term traffic forecasting model – prevailing trends and guidelines
Author:
Soon Kian Lun1,
Chan Robin Kuok Cheong1,
Lim Joanne Mun-Yee1ORCID,
Parthiban Rajendran1
Affiliation:
1. School of Engineering, Monash University Malaysia
Abstract
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 (SLR) based on peer-reviewed articles up to 2021. The key important findings are summarised along with the challenges to performing short-term traffic forecasting. Intuitively, this paper offers insights into the next wave of research that contributes significantly to industries.
Publisher
Oxford University Press (OUP)
Subject
Engineering (miscellaneous),Safety, Risk, Reliability and Quality,Control and Systems Engineering