The large‐scale trajectory data provide the potential opportunity to a better understanding of
driving behaviour for transportation applications and research. However, limited effort has …

Granular computing is a very hot research field in computer science in recent years. This
paper introduces a new granular computing model based on algebraic structure, in which …

The accurate prediction of traffic congested states in major cities is indispensable for urban
traffic management and public traveling routes planning. However, the understanding of …

In view of the practical application requirements for the rapid expansion of electric taxis
(ETs) and the reasonable planning of charging stations, this paper presents a method for …

The gun intelligent aiming system can calculate the aiming point real-timely for the stationary
target, but for the moving target, the shooter still needs to estimate the preaiming position by …

出租车是居民出行的重要交通工具, 其轨迹数据蕴含着丰富的居民出行信息.
原始出租车轨迹数据因缺少语义信息无法直观反映居民出行规律. 通过轨迹数据挖掘技术处理 …

Deep exploration of the potential characteristics from vehicle trajectory data benefits
transportation safety management and improves transport efficiency. Therefore, trajectories …

The enclosure construction is easy to cause traffic congestion in the process, so timely
determination of it is crucial to alleviate traffic congestion. At present, most existing methods …

Internet information is an important source of urban emergency events; however, how to
quickly identify urban emergency thematic events from large-scale data remains a …

Spatiotemporal trajectory data mining of vehicle groups is an important approach to identify
the travel mode of mobile objects. A time series based fast density peaks clustering (TSDPC) …