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.

WorkYearSourceApproachesFeaturesAdvantages

Gupta et al. [57]2021ElsevierAvoid collisions in self-driving vehiclesDL for self-driving in a real-time environmentDriving alerts to prevent accidents
Santos et al. [58]2021Computers, MPDISmart traffic accident detectionPredicts future accidentsHigh vehicle accident detection accuracy rate
Aadil et al. [59]2020Journal of advanced transportationComplex interaction precision in IoV systemDeep learning for traffic crash predictionFine tuning and superior traffic crash predictions
Chang et al. [60]2019IEEECollusion detection in IoV system suing DL modelDeep crash system to detect collusionHigh traffic collision detection accuracy rate 96%
Chunjiao et al. [61]2018HindawiTraffic accident detection in IoV systemDeep learning for traffic accident collision detection and emergency announcementHigh traffic accident detection accuracy rate 84.58%