Trajectory computing is a pivotal domain encompassing trajectory data management and
mining, garnering widespread attention due to its crucial role in various practical …

Map matching is a fundamental component for location-based services (LBSs), such as
vehicle mobility analysis, navigation services, traffic scheduling, etc. In this paper, we …

Traffic prediction aims to predict the future traffic state by mining features from history traffic
information, and it is a crucial component for the intelligent transportation system. However …

Street view data is one of the most common data sources for urban prediction tasks, such as
estimating socioeconomic status, sensing physical urban changes, and identifying urban …

Cardinality estimation, which involves estimating the result size of queries, is a critical aspect
of query processing and optimization. Deep Neural Networks (DNNs) are data hungry, and …

Cycling—as a sustainable and convenient exercise and travel mode—has become
increasingly popular in modern cities. In recent years, with the proliferation of sport apps and …

Reliability and cost are two primary considerations for profiling population-scale prevalence
(PPP) of multiple non-communicable diseases (NCDs). In this paper, we exploit intra …

Map matching of trajectory data has wide applications in path planning, traffic flow analysis,
and intelligent driving. The process of map matching involves matching GPS trajectory …

Map matching is a crucial data processing task for transferring measurements from the
dynamic sensor location to the relevant road segment. It is especially important when …

室内手机导航与位置服务是当前的研究热点, 场景要素实例化现实增强方法是其中重要的组成
部分. 实例分割是场景要素感知中一项具有挑战性的基本任务, 增强现实是数字孪生建筑物地图 …