Predicting Road Accidents on the N7 National Highway Using LSTM Networks

DOI

10.2991/978-94-6463-884-4_2How to use a DOI?

Keywords

Road accidents; LSTM networks; Data-driven analysis; Road safety; Time series forecasting

Abstract

Road accidents always pose a threat to public safety and infrastructure stability, calling for efficient predictive models of accident prevention and mitigation. Road accidents on the N7 National Highway are predicted in this study based on historical accident data from Khulna and Jessore districts between 1998 and 2015. The data include accident frequency, casualty rates, and vehicle involvement, which are classified into different types of accidents and vehicle classes. The suggested LSTM-based time series forecasting method offers a strong temporal pattern recognition framework along with more accurate predictions of future accident occurrence. Utilizing the memory characteristic of LSTM networks, the research attempts to identify intricate dependencies and nonlinear associations in the accident data to enhance the model’s predictive ability. This research contributes to road safety research by offering an evidence-based approach to proactive accident prevention and resource planning on the N7 National Highway. The findings of this research can guide policymakers, transport authorities, and stakeholders in the development of targeted interventions and infrastructure improvement for reducing accident risks and ensuring road safety.

Copyright

© 2025 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  - Md Ibrahim Bhuyia
AU  - Mahmudur Rahman
AU  - Arafat Bin Ansar
PY  - 2025
DA  - 2025/11/18
TI  - Predicting Road Accidents on the N7 National Highway Using LSTM Networks
BT  - Proceedings of the 8th International Conference on Engineering Research, Innovation, and Education 2025 (ICERIE 2025)
PB  - Atlantis Press
SP  - 4
EP  - 16
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-884-4_2
DO  - 10.2991/978-94-6463-884-4_2
ID  - Bhuyia2025
ER  -