A Hybrid CNN-LSTM Model for Traffic Accident Frequency Forecasting During the Tourist Season

A Hybrid CNN-LSTM Model for Traffic Accident Frequency Forecasting During the Tourist Season

Population density in major tourist centers of the world increases significantly during the tourist season. Estimating the frequency of traffic accidents during the upcoming tourist season is of particular interest to many stakeholders, such as local governments. The objective of this study is to pr...

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Bibliographic Details
Main Authors: Sinan Uğuz, Erdem Büyükgökoğlan
Format: Article
Language:English
Published: Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2022-01-01
Series:Tehnički Vjesnik
Subjects:
convolutional neural network
SARIMA model
time series analysis
tourism
traffic accident forecasting
Online Access:https://hrcak.srce.hr/file/412477

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