2 papers
cs.CV2025
Deep Learning Advances in Vision-Based Traffic Accident Anticipation: A Comprehensive Review of Methods, Datasets, and Future Directions
Ruonan Lin, Tao Tang, Yongtai Liu +5
Traffic accident prediction and detection are critical for enhancing road safety, and vision-based traffic accident anticipation (Vision-TAA) has emerged as a promising approach in…
cs.LG2023
Can Machine Learning Uncover Insights into Vehicle Travel Demand from Our Built Environment?
Zixun Huang, Hao Zheng
In this paper, we propose a machine learning-based approach to address the lack of ability for designers to optimize urban land use planning from the perspective of vehicle travel…