Accurate forecasting of traffic flow is crucial for intelligent traffic control and guidance. It is
very challenging to forecast the traffic flow due to the high non‐linearity, complexity and …

Improving the traffic efficiency of the existing roads in the city has become an important task
for the traffic management department. Timely and accurate traffic prediction is the key to …

Traffic flow prediction provides support for travel management, vehicle scheduling, and
intelligent transportation system construction. In this work, a graph space–time network …

Timely and accurate traffic speed predictions are an important part of the Intelligent
Transportation System (ITS), which provides data support for traffic control and guidance …

针对当前路网通行速度预测方法存在的中长周期预测准确性和稳定性不足, 自适应路网拓扑空间
关系建模能力有待进一步提升等问题, 以多尺度卷积算子及门控循环单元为核心单元 …

Due to the periodic and dynamic changes of traffic flow and the spatial–temporal coupling
interaction of complex road networks, traffic flow forecasting is highly challenging and rarely …

随着滴滴, Uber 等出租车服务的日益普及, 用户的乘车需求预测逐渐成为智慧城市,
智慧交通的重要组成部分. 准确的预测模型既可以满足用户的出行需求, 也可以降低道路车辆空 …

In this paper, considering spatiotemporal correlations, we propose a novel short-term traffic
flow prediction method that is based on diverse ensemble deep learning. First, a new …

对于日益频发的机场航班延误, 精准的航班延误预测是最重要的防范措施之一.
通过谱图卷积将机场网络从不规则的图结构转换为规则的网络结构, 利用图卷积神经网络(GCN) …

With the increasing popularity of cab services such as Didi and Uber, cities are faced with
the challenge of high carbon emissions and traffic congestion. Ride-sharing services, as a …