Research on Traffic Safety Accident Prediction Based on ARIMA

DOI

10.2991/978-94-6463-610-9_22How to use a DOI?

Keywords

ARIMA model; Traffic safety accidents; prediction

Abstract

With the significant increase in the frequency of social traffic activities, traffic safety issues have gradually become the focus of social attention. This paper aims to deeply explore the principles and operating steps of the ARIMA model (autoregressive moving average model) in time series analysis, and evaluate the model’s effectiveness in predicting traffic accident data with specific examples. The results show that the ARIMA model performs well in predicting the number of traffic accidents. The error analysis between the predicted data and the actual data provides a basis for further research and verifies the potential application of this method in traffic safety assessment.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ziyi Wei
AU  - Kefeng Wang
AU  - Jinhai Gao
PY  - 2024
DA  - 2024/12/16
TI  - Research on Traffic Safety Accident Prediction Based on ARIMA
BT  - Proceedings of the 2024 International Conference on Rail Transit and Transportation (ICRTT 2024)
PB  - Atlantis Press
SP  - 193
EP  - 200
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-610-9_22
DO  - 10.2991/978-94-6463-610-9_22
ID  - Wei2024
ER  -