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A Hybrid Model for Traffic Incident Detection based on Generative Adversarial Networks and Transformer Model
March 5, 2024, 2:41 p.m. | Xinying Lu, Doudou Zhang, Jianli Xiao
cs.LG updates on arXiv.org arxiv.org
Abstract: In addition to enhancing traffic safety and facilitating prompt emergency response, traffic incident detection plays an indispensable role in intelligent transportation systems by providing real-time traffic status information. This enables the realization of intelligent traffic control and management. Previous research has identified that apart from employing advanced algorithmic models, the effectiveness of detection is also significantly influenced by challenges related to acquiring large datasets and addressing dataset imbalances. A hybrid model combining transformer and generative …
abstract adversarial arxiv control cs.ai cs.lg detection emergency emergency response generative generative adversarial networks hybrid incident information intelligent intelligent transportation management networks prompt real-time research role safety systems traffic traffic safety transformer transformer model transportation type
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