Artificial Neural Network Analysis in Road Crash Data: A Review on Its Potential Application in Autonomous Vehicles

• Main Authors: Syukran Hakim, Norazman, Mohd Amir Shahlan, Mohd-Aspar, Abdul Nasir, Abd Ghafar, Norasilah, Karumdin, Ahmad Noor Syukri, Zainal Abidin
• Format: Conference or Workshop Item
• Language: English; English
• Published: Springer Singapore 2024
• Subjects: TK Electrical engineering. Electronics Nuclear engineering; TS Manufactures
• Online Access: http://umpir.ump.edu.my/id/eprint/41198/1/Artificial%20Neural%20Network%20Analysis%20in%20Road%20Crash%20Data-%20A%20Review%20on%20Its%20Potential%20Application.pdf; http://umpir.ump.edu.my/id/eprint/41198/2/Artificial%20Neural%20Network%20Analysis%20in%20Road%20Crash%20Data-%20A%20Review%20on%20Its%20Potential%20Application%20in%20Autonomous%20Vehicles.pdf; http://umpir.ump.edu.my/id/eprint/41198/; https://doi.org/10.1007/978-981-99-8819-8_8
• Institution: Universiti Malaysia Pahang Al-Sultan Abdullah

This review examines the utilization of Artificial Neural Networks (ANNs) in the analysis of road crash data and their prospective contribution to autonomous vehicles. Artificial neural networks (ANNs) have exhibited considerable promise in the realm of modeling and forecasting crash occurrences, th...