以路径的自由流时间为路径走行时间的下边界，提出了截断正态分布条件下的 出行时间预算模型，并将其与一般正态分布条件下的出行时间预算模型进行对比． 在多用 户随机网络条件下，假定出行者的期望准时到达概率是异质的，并建立了基于可靠性的多 类用户随机用户均衡模型． 研究结果表明，在截断正态分布条件下，出行者的预算时间更 大，且其风险厌恶水平是基于情景自适应的． 同时，对准时到达要求较高的出行者倾向于 选择可靠性较大的路径，对准时到达要求不高的出行者倾向于选择平均走行时间较小的 路径．

Through assuming the route-free flow travel time as the lower bound of route travel time，the travel time budget model with truncated normal distribution was proposed． And the model was compared with the travel time budget model with general normal distribution． In the multi-class user stochastic network，travelers were assumed to be heterogeneous with respect to their desired on-time arrival probabilities． Then the reliability-based multi-class stochastic user equilibrium model was developed，its equivalent variational inequality formulation was given． The results show that the budget time of travelers under truncated normal distribution is larger than that under general normal distribution． In this case，the risk aversion levels of travelers are context-based adaptive． In addition，the results also demonstrate that the punctual travelers tend to choose the routes with the better reliability． Neverthe- less，the risky travelers prefer to choose the routes with the less average travel time．