Short-term traffic forecasting model: prevailing trends and guidelines

Kian Lun Soon, Robin Kuok Cheong Chan, Joanne Mun-Yee Lim, Rajendran Parthiban

Research output: Contribution to journalReview ArticleOther

4 Citations (Scopus)

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.

Original languageEnglish
Article numbertdac058
Number of pages19
JournalTransportation Safety and Environment
Volume5
Issue number3
DOIs
Publication statusPublished - Jun 2023

Keywords

  • design parameters
  • short-term forecasting
  • systematic literature review
  • transport and society

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