Multivariate Forecasting of Road Accidents Based on Geographically Separated Data
As road accidents are the leading cause of death for young adults all over the world, it is necessary for the police to evaluate the accident circumstances carefully in order to take appropriate prevention measures. The circumstances of an accident vary in their frequency over time and depend on the...
Main Authors: | Katherina Meißner, Julia Rieck |
---|---|
Format: | Article |
Language: | English |
Published: |
World Scientific Publishing
2021-08-01
|
Series: | Vietnam Journal of Computer Science |
Subjects: | |
Online Access: | http://www.worldscientific.com/doi/epdf/10.1142/S2196888821500196 |
Similar Items
-
Climate change forecasting using data mining algorithms
by: Parul Khatri, et al.
Published: (2023-06-01) -
Strategic planning support for road safety measures based on accident data mining
by: Katherina Meißner, et al.
Published: (2022-10-01) -
ARIMA Models in Solar Radiation Forecasting in Different Geographic Locations
by: Ewa Chodakowska, et al.
Published: (2023-06-01) -
Forecasting USDTRY rate by ARIMA method
by: Cenk Ufuk Yıldıran, et al.
Published: (2017-01-01) -
FORECAST OF MULTIVARIATE TIME SERIES SAMPLED FROM INDUSTRIAL MACHINERY SENSORS
by: Heron Felipe Rosas dos Santos, et al.
Published: (2020-02-01)