作者: Qiyuan Liu , Jian Sun , Ye Tian , Ying Ni , Shinan Yu
DOI: 10.1155/2019/9127062
关键词: Dispersion (optics) 、 Physical Barrier 、 Mixed flow 、 Trajectory 、 Social force model 、 Modeling and simulation 、 Automotive engineering 、 Travel time 、 Environmental science
摘要: Interactions between motorized and nonmotorized vehicles have drawn considerable attention from researchers. They are commonly seen at mixed flow intersections where vehicles, without the restriction of lane markers or physical barriers, may disperse into adjacent lanes thus lead to complex interactions with vehicles. Such a dispersion phenomenon heterogeneous participants (e-bikes bicycles as versus vehicles) is difficult model. In this paper, we were inspired by charged particles in an electric field modeled go-straight, accordingly, it was discovered research that these two phenomena share three underlying commonalities each other. A novel particle model (PDM) based on particle’s movement proposed. The calibrated validated using 1,490 high-definition sets trajectory data for during 43 cycles typical intersections. PDM compared social force (SFM) their characteristics used describe bicycles’ behavior. results show performs better than SFM regard depicting characteristic indices such travel time, intensity sectional degree, other characteristics.