为评价车辆防撞警告算法的有效性，建立了以有效警告率、误警率等为主要评价指标的评价体系。根据实际道路交通情况，设计仿真场景，根据有无防撞警告系统条件设计实验组与对照组。采用Visual Basic 2005对微观交通仿真软件VISSIM进行二次开发，实现了警告算法仿真评价平台，实现了VB端参数输入、仿真结果输出以及指标自动统计等功能。实验中考虑了驾驶员反应时间与车辆减速度不同带来的影响。在仿真平台上，以Honda与PATH两种警告算法为例，进行仿真评价分析与比较。实验结果表明，前者有效警告率较低，而后者有效警告率较高，但同时误警率也较高。上述结论与相关研究一致，表明该评价方法能够对各种警告算法进行有效而低成本的定量分析评价。

In order to evaluate vehicle collision avoidance systems, and to optimize the warning algorithm, this paper proposes a serial of indexes, including the effective warning rate and the wrong warning rate. According to the actual road conditions, simulation scenarios and experimental procedures are designed, for the experimental group and the control group, with and without warning system. A simulation evaluation method is used to obtain the corresponding indexes. According to the method, a platform for the warning algorithm simulation evaluation is built by the secondary development of the microscopic traffic simulation software VISSIM based on Visual Basic 2005. Various functions are implemented, including the parameter input, the result output at the VB port, the simulation process control, and the automatic statistical analysis. Honda and PATH algorithms are evaluated on the platform. It is shown that the latter algorithm has a higher effective warning rate and lower wrong warning rate as compared with the former one. The evaluation results are consistent with other related studies, which shows that the method is an effective quantitative analysis evaluation method with a low cost for warning algorithms.