We analyzed data from traffic counters installed on 143 Czech roads (motorways and primary roads) which precisely indicated current traffic volume during occurrences of ungulate-vehicle collisions (UVC). One thousand nine hundred ninety-five UVCs were identified over the period 2009–2015 on these 143 road segments. The overall range of annual average daily traffic (AADT) values, for the respective roads, was between 1547 and 78,320 AADT (vehicles/day). Almost 80% of UVC took place at volume lower than 1000 vehicles/h. We demonstrate that traffic volume has a different distribution during the day when compared with UVC distribution. The highest relative risk of UVC was identified for traffic up to 750 vehicles/h. The risk of UVC varied over the course of the year as it was influenced by ungulate locomotory activity. We concluded that the AADT, representing average annual daily traffic, does not accurately represent the actual traffic volume which is present during the night hours, where the majority of UVC usually occur. Therefore, there is a danger that UVC risk modeling, relying on AADT, will be distorted.

中文翻译：

---

车辆碰撞事故的风险和道路上的交通量

我们分析了安装在143条捷克道路（机动车道和主要道路）上的交通计数器的数据，这些数据精确地指示了有蹄类车辆碰撞（UVC）发生期间的当前交通量。在2009年至2015年期间，在这143个路段上确定了195个UVC。相应道路的年度平均每日交通量（AADT）值的总体范围介于1547至78,320 AADT（车辆/天）之间。几乎80％的UVC发生量低于1000辆/小时。我们证明，与UVC分布相比，白天的流量有不同的分布。最高时速达到750辆车时，UVC相对风险最高。UVC的风险在一年中有所变化，因为它受到有蹄类动物运动的影响。我们得出结论，AADT 代表每年的平均每日流量，但不能准确代表大多数UVC通常发生在夜间的实际流量。因此，存在依赖AADT的UVC风险建模将被扭曲的危险。