Review Article
[Retracted] Deep and Reinforcement Learning Technologies on Internet of Vehicle (IoV) Applications: Current Issues and Future Trends
Table 3
Summary of deep learning applications for IoV collision prediction.
| Work | Year | Source | Approaches | Features | Advantages |
| Gupta et al. [57] | 2021 | Elsevier | Avoid collisions in self-driving vehicles | DL for self-driving in a real-time environment | Driving alerts to prevent accidents | Santos et al. [58] | 2021 | Computers, MPDI | Smart traffic accident detection | Predicts future accidents | High vehicle accident detection accuracy rate | Aadil et al. [59] | 2020 | Journal of advanced transportation | Complex interaction precision in IoV system | Deep learning for traffic crash prediction | Fine tuning and superior traffic crash predictions | Chang et al. [60] | 2019 | IEEE | Collusion detection in IoV system suing DL model | Deep crash system to detect collusion | High traffic collision detection accuracy rate 96% | Chunjiao et al. [61] | 2018 | Hindawi | Traffic accident detection in IoV system | Deep learning for traffic accident collision detection and emergency announcement | High traffic accident detection accuracy rate 84.58% |
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