Detecting vehicle traffic patterns in urban environments using taxi trajectory intersection points

Detecting vehicle traffic patterns in urban environments using taxi trajectory intersection

points

Andreas Keler;Jukka M.Krisp;Linfang Ding

【期刊名称】《地球空间信息科学学报（英文版）》 【年(卷),期】2017(020)004

【摘要】Detecting and describing movement of vehicles in established transportation infrastructures is an important task.It helps to predict periodical traffic patterns for optimizing traffic regulations and extending

the

functions

of

established

transportation

infrastructures.The detection of traffic patterns consists not only of analyses of arrangement patterns of multiple vehicle trajectories,but also of the inspection of the embedded geographical context.In this paper,we introduce a method for intersecting vehicle trajectories and extracting their intersection points for selected rush hours in urban environments.Those vehicle trajectory intersection points (TIP) are frequently visited locations within urban road networks and are subsequently formed into density-connected clusters,which are then represented as polygons.For representing temporal variations of the created polygons,we enrich these with vehicle trajectories of other times of the day and additional road network information.In a case study,we test our approach on massive taxi Floating Car Data (FCD) from