首页> 外文会议>International conference on probabilistic safety assessment and management >Development of a Road Transportation Risks data base for Italy: methodology, models and results
【24h】

Development of a Road Transportation Risks data base for Italy: methodology, models and results

机译:开发道路运输风险的意大利数据库:方法,模型和结果

获取原文

摘要

Transportation risks are increasing in importance due to the today mobility demand (which implies about 6500 fatalities per year in Italy due to road accidents and a valuable air pollution) and the transportation of dangerous substances (which implies hazards such as spills and other major accidents). Consequently, the risk assessment for road transport is a crucial point for analysts, decision makers and planners. Quite often, general data, such as accident frequencies relevant to the whole country and to the entire road system are used. For example, in Italy data like 10~(-7) events/km are quoted in relation to truck accidents: although reasonable, this data can be substituted with more detailed ones. Moreover, quite often data as number of accidents or fatalities per year, per day hour, per driver age, etc., are considered, instead of the more significant "per km" data, which are not directly available from basic accident data collection. It is apparent, indeed, that in order to compute the accident probability relevant to a given vehicle type, road, location, time, etc., the frequencies of accident per kilometre done by the vehicle are required. In order to provide proper information, a detailed data base for road risk assessment in Italy has been developed and some results are presented below.
机译:由于今天的流动性需求(由于道路事故和有价值的空气污染,意大利每年每年涉及每年6500个死亡),运输风险越来越重要,并且危险物质的运输(这意味着溢出和其他主要事故等危害) 。因此,公路运输风险评估是分析师,决策者和规划者的关键点。通常,使用一般数据,例如与全国和整个道路系统相关的事故频率。例如,在意大利数据,如10〜(-7)赛事/ km被引用与卡车事故有关:虽然合理地,但这种数据可以用更详细的方式替换。此外,由于每年的每年的事故或死亡人数,每个驾驶员年龄等,都经常被认为是每天的数据,而不是更重要的“每公里”数据,这些数据不可从基本事故数据收集。事实上,它是显而易见的,为了计算与给定车辆类型,道路,位置,时间等相关的事故概率,需要由车辆完成每公里的事故频率。为了提供适当的信息,已经开发出意大利的道路风险评估详细数据库,下面提出了一些结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号