原文传递 CAR-FOLLOWING AND COLLISION CONSTRAINT MODELS FOR UNINTERRUPTED TRAFFIC: REEXAMINATION USING HIGH-PRECISION GLOBAL POSITIONING SYSTEM DATA.
题名: CAR-FOLLOWING AND COLLISION CONSTRAINT MODELS FOR UNINTERRUPTED TRAFFIC: REEXAMINATION USING HIGH-PRECISION GLOBAL POSITIONING SYSTEM DATA.
作者: Khan-S; Maini-P; Thanasupsin-K
关键词: Acceleration-Mechanics; Car-following; Collision-constraint-models; Global-Positioning-System; Headways-; Mathematical-models; Simulation-; Uninterrupted-flow; Velocity-
摘要: In the last few decades several car-following models have been proposed and tested using mainly vehicle location data. The use of high-precision Global Positioning System (GPS) data to test several car-following and collision constraint models is reported, with a critical evaluation of these models and proposal of a modified collision constraint formulation. GPS receivers typically report time-stamped location or position fixes and velocity. For a pair of leading and following vehicles, location and velocity data were used to examine estimates of acceleration, velocity, and headway by Pipes's; modified Pitt's, or FRESIM; CARSIM; and INTELSIM car-following models. The important aspects of collecting accurate GPS data are also highlighted.
总页数: Transportation Research Record. 2000. (1710) pp37-46 (7 Fig., 3 Tab., 17 Ref.)
报告类型: 科技报告
检索历史
应用推荐