Short-term traffic forecasting model: prevailing trendsand guidelines

作     者：Kian Lun Soon Robin Kuok Cheong Chan Joanne Mun-Yee Lim Rajendran Parthiban 

作者机构：School of EngineeringMonash UniversityMalaysiaBandar Sunday 47500Malaysia 

出 版 物：《Transportation Safety and Environment》 (交通安全与环境（英文）)

年 卷 期：2023年第5卷第3期

页      面：1-19页

核心收录：

学科分类：08[工学] 082302[工学-交通信息工程及控制] 0823[工学-交通运输工程] 

基　　金：This work was funded by the Malaysian Ministry of Higher Education’s MOHE Fundamental Research Grant Scheme FRGS(Grant No.FRGS/1/2019/TK08/MUSM/03/1)under the purview of Monash University Malaysia. 

主　　题：design parameters transport and society short term forecasting systematic literature review 

摘      要：The design parameters serve as an integral part of developing a robust short-term traffc 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 performning short-term traffic forecasting.Intuitively,this paper offers insights into the next wave of research that contributes significantly to industries.