关键词: 智能交通, 元胞自动机, 多属性换道决策, 层次分析法, 车道分隔方式

Abstract:

In order to explore the influence of different lane demarcation patterns on lane-changing behavior, a multi-attribute lane-changing decision model based on analytic hierarchy process(AHP) is proposed to improve the lane-changing rule of symmetric two-lane cellular automata(STCA), that on the base of the analysis of the lanechanging decision mechanism and lane-changing decision attributes. Setting different lane demarcation patterns on a one-direction-three-lane way to operate the model obtains the probability of lane- changing motivation and of lane-changing success under different space occupancy rate. Results show that: the probability of lane-changing motivation is directly related to the internal state attribute of traffic flow; the success probability of lane-changing is determined by the internal state attributes of traffic flow and the lane demarcation patterns which have corresponding effects on lane-changing behavior. It is shown that this paper’s model can better interpret the traffic management and regulation implications of different lane demarcation patterns, has the ability to deal with multiple external decision attributes at the same time, and strong generality.

Key words: intelligent transportation, cellular automaton, multi- attribute lane- changing decision, analytic hierarchy process, lane demarcation pattern