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ABCNet: A comprehensive highway visibility prediction model based on attention, Bi-LSTM and CNN.

Wen Li^1,2,3, Xuekun Yang², Guowu Yuan^1,3

¹School of Information Science and Engineering, Yunnan University, Kunming 650504, China.

Mathematical Biosciences and Engineering : MBE

|March 29, 2024

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This study introduces the Attention-based BiLSTM-CNN (ABCNet) model for accurate highway visibility prediction. ABCNet enhances traffic safety by forecasting fog-related visibility changes, reducing accidents.

Area of Science:

Environmental Science
Transportation Engineering
Artificial Intelligence

Background:

Meteorological disasters, particularly heavy fog, severely impact highway traffic efficiency and safety.
Low visibility due to fog is a major cause of traffic accidents on highways.
Accurate visibility prediction is crucial for timely response and improving traffic safety.

Purpose of the Study:

To develop and evaluate an advanced model for accurate highway atmospheric visibility forecasting.
To improve traffic safety and efficiency by mitigating the impact of meteorological disasters like fog.
To introduce a novel deep learning architecture for spatiotemporal feature extraction in meteorological data.

Main Methods:

Proposed the Attention-based BiLSTM-CNN (ABCNet) model, integrating Bi-LSTM, CNN, and multi-head attention mechanisms.

Keywords:

atmospheric visibility deep learning forecasting meteorological disaster traffic

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Bi-LSTM module captures forward and backward temporal dependencies.

CNN module identifies local spatial features, refined by an attention mechanism.

Main Results:

The ABCNet model demonstrated high accuracy and effectiveness in forecasting atmospheric visibility.
The model successfully extracted complex spatiotemporal characteristics of meteorological elements.
Experimental results showed significant advancements over conventional prediction models.
The model was successfully integrated into practical systems, yielding positive outcomes.

Conclusions:

The ABCNet model offers a superior approach for highway visibility prediction.
Accurate visibility forecasting using ABCNet can significantly enhance highway traffic safety.
This research provides a valuable, self-collected meteorological dataset for high-altitude mountainous highways.