Urban spatio-temporal prediction is crucial for informed decision-making, such as
transportation management, resource optimization, and urban planning. Although pretrained …

Spatio-temporal (ST) prediction is an important and widely used technique in data mining
and analytics, especially for ST data in urban systems such as transportation data. In …

Accurate traffic prediction contributes significantly to the success of intelligent transportation
systems (ITS), which enables ITS to rationally deploy road resources and enhance the …

As a new form of public transportation, shared bikes have greatly facilitated people's travel in
recent years. However, in the actual operation process, the uneven distribution of bicycles at …

Traffic flow prediction is crucial in intelligent transportation systems. Considering the severe
disruptions caused by traffic accidents or congestion, a time series model is developed for …

In the realm of human mobility data analysis, a multitude of constraints result in the
publication of sparse, non-uniform implicit trajectories without explicit location information …

对地理信息的准确掌握是城市中各种智能决策得以实现的基础. 传统地理信息收集主要靠人工
测绘, 人工巡检或固定传感器感知, 设备, 人力成本高昂. 近年来, 随着移动互联网的发展 …

The precise prediction of multi-scale traffic is a ubiquitous challenge in the urbanization
process for car owners, road administrators, and governments. In the case of complex road …

Traffic flow prediction holds great promise in prompting the rapid development of intelligent
transportation systems. The key challenge for traffic flow prediction lies in effectively …

Instant delivery services, such as food delivery and package delivery, have achieved
explosive growth in recent years by providing customers with daily-life convenience. An …