A Method for Road Accident Prevention in Smart Cities based on Deep Reinforcement Learning

Giuseppe Crincoli, Fabiana Fierro, Giacomo Iadarola, Piera Rocca, Fabio Martinelli, Francesco Mercaldo, Antonella Santone

2022

Abstract

Autonomous vehicles play a key role in the smart cities vision: they bring benefits and innovation, but also safety threats, especially if they suffer from vulnerabilities that can be easily exploited. In this paper, we propose a method that exploits Deep Reinforcement Learning to train autonomous vehicles with the purpose of preventing road accidents. The experimental results demonstrated that a single self-driving vehicle can help to optimise traffic flows and mitigate the number of collisions that would occur if there were no self-driving vehicles in the road network. Our results proved that the training progress is able to reduce the collision frequency from 1 collision every 32.40 hours to 1 collision every 53.55 hours, demonstrating the effectiveness of deep reinforcement learning in road accident prevention in smart cities.

Paper Citation

in Harvard Style

Crincoli G., Fierro F., Iadarola G., Rocca P., Martinelli F., Mercaldo F. and Santone A. (2022). A Method for Road Accident Prevention in Smart Cities based on Deep Reinforcement Learning. In Proceedings of the 19th International Conference on Security and Cryptography - Volume 1: SECRYPT, ISBN 978-989-758-590-6, pages 513-518. DOI: 10.5220/0011146500003283

in Bibtex Style

@conference{secrypt22,
author={Giuseppe Crincoli and Fabiana Fierro and Giacomo Iadarola and Piera Rocca and Fabio Martinelli and Francesco Mercaldo and Antonella Santone},
title={A Method for Road Accident Prevention in Smart Cities based on Deep Reinforcement Learning},
booktitle={Proceedings of the 19th International Conference on Security and Cryptography - Volume 1: SECRYPT,},
year={2022},
pages={513-518},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011146500003283},
isbn={978-989-758-590-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Conference on Security and Cryptography - Volume 1: SECRYPT,
TI - A Method for Road Accident Prevention in Smart Cities based on Deep Reinforcement Learning
SN - 978-989-758-590-6
AU - Crincoli G.
AU - Fierro F.
AU - Iadarola G.
AU - Rocca P.
AU - Martinelli F.
AU - Mercaldo F.
AU - Santone A.
PY - 2022
SP - 513
EP - 518
DO - 10.5220/0011146500003283