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Research of Driver Automatic Alarm Decision-making Optimization Models with Precision Clock Scanning

机译:精确时钟扫描的驾驶员自动报警决策优化模型研究

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摘要

The driver automatic alarm decision-making optimization model needs to take into account during traffic accidents factors of driver stimulation and task clutter as well as processes of coordinate reaction behavior In the past, a simulation step was chosen with 1 second. This ignored the influence of lagging driver automatic alarm decision-making response time, which impacts simulation accuracy of driver automatic alarm behavior. Meanwhile, on account of imprecision of clock scanning, the ability of driver's behavior simulation model is weakened in a dynamic traffic accident scene. And it brought on the results which only considered macroscopic affect information in traffic accidents and influence of relatively static road signs in the past. If we want to raise the simulation precision of driver automatic alarm behavior, we must reduce clock scanning time.
机译:在交通事故期间,驾驶员自动警报决策最优化模型需要考虑驾驶员刺激和任务混乱的因素以及协调反应行为的过程。过去,选择模拟步骤的时间为1秒。这忽略了驾驶员自动警报决策响应时间滞后的影响,后者影响了驾驶员自动警报行为的仿真准确性。同时,由于时钟扫描的不精确性,在动态交通事故现场驾驶员行为模拟模型的能力被削弱。得出的结果是,过去仅考虑交通事故中的宏观影响信息和相对静止的路标的影响。如果要提高驾驶员自动报警行为的仿真精度,则必须减少时钟扫描时间。

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