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Unifying Lane-Level Traffic Prediction from a Graph Structural Perspective: Benchmark and Baseline
March 25, 2024, 4:41 a.m. | Shuhao Li, Yue Cui, Jingyi Xu, Libin Li, Lingkai Meng, Weidong Yang, Fan Zhang, Xiaofang Zhou
cs.LG updates on arXiv.org arxiv.org
Abstract: Traffic prediction has long been a focal and pivotal area in research, witnessing both significant strides from city-level to road-level predictions in recent years. With the advancement of Vehicle-to-Everything (V2X) technologies, autonomous driving, and large-scale models in the traffic domain, lane-level traffic prediction has emerged as an indispensable direction. However, further progress in this field is hindered by the absence of comprehensive and unified evaluation standards, coupled with limited public availability of data and code. …
arxiv benchmark cs.ai cs.lg graph perspective prediction traffic type
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