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Factors Influencing Injury Severity in Alcohol-Related Crashes: A Neural Network Approach Using HSIS Crash Data
| 题名： | Factors Influencing Injury Severity in Alcohol-Related Crashes: A Neural Network Approach Using HSIS Crash Data |
| 正文语种： | 英文 |
| 作者： | SNEHANSHU BANERJEE (S); NASHID K. KHADEM (S) |
| 关键词： | characteristics；phenomenon；interaction；environment；traffic；actor；policy；cras；rash；subject |
| 摘要： | The phenomenon and aftermath of traffic crashes have long been recognized as. convoluted events involving interactions between numerous factors related to the driver, traffic characteristics, roadway characteristics, and the environment. The severity of injuries in motor vehicle crashes is of considerable interest to policymakers and safety specialists. In the United States, fatality and injury rates for road traffic crashes have become a crucial subject. |
| 出版年： | 2019 |
| 期刊名称： | ITE Journal |
| 卷： | 89 |
| 期： | 3 |
| 页码： | 42-49 |
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