Highway accident risk identification method based on Arcgis
编号:37 访问权限:仅限参会人 更新:2021-12-03 10:12:32 浏览:126次 张贴报告

报告开始:2021年12月17日 08:04(Asia/Shanghai)

报告时间:1min

所在会场:[P1] Poster2020 [P1T1] Track 1 Advanced Transportation Information and Control Engineering

暂无文件

摘要
In view of the limitation of the existing road traffic accident prone road section risk discrimination limited to the accident itself attribute, this paper proposed a new method of accident prone road section risk discrimination based on Arcgis, which can make the predictive simulation discrimination of the accident risk based on the road alignment condition and the vehicle distribution attribute. In this paper, GIS related technology is firstly used to import the target road section and complete a data processing, and then the processed data is run through invest model to obtain the results. The method is applied to the Ya’xi expressway in Sichuan province, and the results show that the discriminant method can realize the risk prediction and simulation of the expressway, which is an effective method for discriminating the road sections with frequent accidents according to the actual situation and intuitive results.
关键词
CICTP
报告人
Wenchen Gu
Chang'an Unverisity

稿件作者
Wenchen Gu Chang'an Unverisity
发表评论
验证码 看不清楚,更换一张
全部评论
重要日期
  • 会议日期

    12月17日

    2021

    12月20日

    2021

  • 12月16日 2021

    报告提交截止日期

  • 12月24日 2021

    注册截止日期

主办单位
Chinese Overseas Transportation Association
Chang'an University
联系方式
移动端
在手机上打开
小程序
打开微信小程序
客服
扫码或点此咨询