Short-term traffic forecasting model – prevailing trends and guidelines

IF 2.7 4区 工程技术 Q2 TRANSPORTATION SCIENCE & TECHNOLOGY Transportation Safety and Environment Pub Date : 2022-12-21 DOI:10.1093/tse/tdac058
Kian Lun Soon, Robin Kuok Cheong Chan, J. Lim, R. Parthiban
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引用次数: 0

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.
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短期交通预测模型-主要趋势及指引
设计参数是开发稳健的短期交通预测模型的组成部分。这些参数包括范围确定、输入数据准备、输出参数和建模技术。本文通过基于截至2021年同行评审文章的系统文献综述(SLR),进一步分析了设计参数的最新趋势。总结了关键的重要发现以及执行短期交通预测的挑战。直观地说,这篇论文为下一波对行业有重大贡献的研究提供了见解。
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来源期刊
Transportation Safety and Environment
Transportation Safety and Environment TRANSPORTATION SCIENCE & TECHNOLOGY-
CiteScore
3.90
自引率
13.60%
发文量
32
审稿时长
10 weeks
期刊最新文献
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