標題: A passing probability model for intelligent transportation system
作者: Cho, Hsun-Jung
Li, Rih-Jin
運輸與物流管理系 註:原交通所+運管所
Department of Transportation and Logistics Management
關鍵字: gas-kinetic model;capable passing;cellular automata;intelligent transportation system
公開日期: 2007
摘要: Intelligent transportation system (ITS) uses electronic technologies such as information and communication technologies to improve the efficiency of transportation management. In the theoretical framework of gas-kinetic traffic flow model, the probability of capable passing is essential for ITS. The probability of capable passing is assumed be a linear function of the traffic concentration, indicating that the probability of capable passing decreases proportionally with an increasing concentration. This work improves the model by introducing the speed desired by the driver into the original two-lane cellular automata (CA) model. This study also examines the accuracy of the linearity assumption. A capable passing principle is established to simulate the capable passing probability for different concentrations and can be embedded in a system on chip of ITS.
URI: http://hdl.handle.net/11536/8579
ISBN: 978-0-7354-0476-2
ISSN: 0094-243X
期刊: COMPUTATION IN MODERN SCIENCE AND ENGINEERING VOL 2, PTS A AND B
Volume: 2
起始頁: 1005
結束頁: 1008
Appears in Collections:Conferences Paper