APA (7th ed.) Citation

N, Z., Y, W., A, Y., & T, L. (2026). Development of a bus real-time crash risk prediction framework by using a self-attention-based bidirectional long and short-term memory network with anomaly detection learning and mixed sequence features. Accident; analysis and prevention, 225, 108306. https://doi.org/10.1016/j.aap.2025.108306

Chicago Style (17th ed.) Citation

N, Zhang, Wu Y, Yang A, and Liu T. "Development of a Bus Real-time Crash Risk Prediction Framework by Using a Self-attention-based Bidirectional Long and Short-term Memory Network with Anomaly Detection Learning and Mixed Sequence Features." Accident; Analysis and Prevention 225 (2026): 108306. https://doi.org/10.1016/j.aap.2025.108306.

MLA (9th ed.) Citation

N, Zhang, et al. "Development of a Bus Real-time Crash Risk Prediction Framework by Using a Self-attention-based Bidirectional Long and Short-term Memory Network with Anomaly Detection Learning and Mixed Sequence Features." Accident; Analysis and Prevention, vol. 225, 2026, p. 108306, https://doi.org/10.1016/j.aap.2025.108306.