Short-term traffic forecasting model: prevailing trends and guidelines
Kian Lun Soon, Robin Kuok Cheong Chan, Joanne Lim, Rajendran Parthiban
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 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.
Topics & Concepts
Scope (computer science)Term (time)Computer scienceKey (lock)Operations researchManagement scienceEngineeringComputer securityPhysicsProgramming languageQuantum mechanicsTraffic Prediction and Management TechniquesTransportation Planning and OptimizationVehicle emissions and performance