According to the characteristics of shift itself,this paper proposes a modeling method on shift process based on coloring Petri nets.Firstly,cluster analysis is adopted to cluster the vehicle operation parameters inside a single window.The next moment motion state of vehicle is evaluated through the vehicle motion state transfer within a certain period.The speed information and state estimation of vehicle are taken as the decision-making condition of vehicle shifting judgment.CPNTool which has the distinct characteristics of hierarchical structure and the good interactive features of substitution transitions is used to simulate shifting process flow.The state transition time delay is defined on the basis of the traffic environment and the information of vehicle motion state.The best shift order is generated from the several possible shifting process.Finally,the data collected from the real car test are used to validate the model and the test results show that this modeling method can graphically show the flow of driver shift operation.In addition,the model can effectively estimate the cost time of each driver shift process and the degree of driver's shifting.%针对换挡本身特性,提出一种利用着色Petri网对换挡过程进行建模的方法.首先,利用聚类分析对单个时窗内的车辆运行参数进行聚类,依据一定时间段内车辆运动状态的转移对下一时刻车辆的运动状态进行估计,将车速信息和状态估计值作为车辆换挡决策的判定条件,利用具有鲜明层次化特性和替代变迁良好交互特性的CPNTool对换挡过程流进行建模仿真,依据交通环境和车辆状态信息设定每个状态迁移的时间延迟,通过分析几种可能的换挡过程所产生的时间延迟给出最佳的换挡次序;最后,采集道路实车试验数据对换挡模型进行有效性验证.测试结果表明,该建模方法能够以图形化方式充分展现出换挡过程中驾驶员操作流程的变迁,此外,该模型能够有效估计出每个驾驶员换挡过程所需的时间,对驾驶员的换挡急缓程度作出评价.
展开▼
