{"title":"高速公路高桥隧率路段交通风险评价研究","authors":"Che Shaohui, Li-zeng Mao, Zhao Na-le","doi":"10.1109/ICICTA.2015.34","DOIUrl":null,"url":null,"abstract":"Road Section with high rate of bridge and tunnel of freeway is the potential high risk section of safety and efficiency. This paper focuses on the traffic operation risk assessment of Road Section with high rate of bridge and tunnel of freeway. Firstly, the average speed and coefficient of variation of speed are selected as the traffic operation risk index and treated as the independent variables. Besides, average risk level index is built as the dependent index. Then the multivariate linear traffic operation risk assessment model is established. Take the Ma-Zhao Freeway in Yunnan as the demonstration road, traffic simulation is conducted. Using the output data of simulation, multiple linear regression is applied to estimate the coefficients of traffic operation risk assessment model of Road Section with high rate of bridge and tunnel of freeway. Finally, according to the cumulative frequency curve of average risk level index, traffic operation risk classification standard of road section with high rate of bridge and tunnel of freeway is established.","PeriodicalId":231694,"journal":{"name":"2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2015-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Study on Traffic Risk Assessment of Road Section with High Rate of Bridge and Tunnel of Freeway\",\"authors\":\"Che Shaohui, Li-zeng Mao, Zhao Na-le\",\"doi\":\"10.1109/ICICTA.2015.34\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Road Section with high rate of bridge and tunnel of freeway is the potential high risk section of safety and efficiency. This paper focuses on the traffic operation risk assessment of Road Section with high rate of bridge and tunnel of freeway. Firstly, the average speed and coefficient of variation of speed are selected as the traffic operation risk index and treated as the independent variables. Besides, average risk level index is built as the dependent index. Then the multivariate linear traffic operation risk assessment model is established. Take the Ma-Zhao Freeway in Yunnan as the demonstration road, traffic simulation is conducted. Using the output data of simulation, multiple linear regression is applied to estimate the coefficients of traffic operation risk assessment model of Road Section with high rate of bridge and tunnel of freeway. Finally, according to the cumulative frequency curve of average risk level index, traffic operation risk classification standard of road section with high rate of bridge and tunnel of freeway is established.\",\"PeriodicalId\":231694,\"journal\":{\"name\":\"2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICTA.2015.34\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICTA.2015.34","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Study on Traffic Risk Assessment of Road Section with High Rate of Bridge and Tunnel of Freeway
Road Section with high rate of bridge and tunnel of freeway is the potential high risk section of safety and efficiency. This paper focuses on the traffic operation risk assessment of Road Section with high rate of bridge and tunnel of freeway. Firstly, the average speed and coefficient of variation of speed are selected as the traffic operation risk index and treated as the independent variables. Besides, average risk level index is built as the dependent index. Then the multivariate linear traffic operation risk assessment model is established. Take the Ma-Zhao Freeway in Yunnan as the demonstration road, traffic simulation is conducted. Using the output data of simulation, multiple linear regression is applied to estimate the coefficients of traffic operation risk assessment model of Road Section with high rate of bridge and tunnel of freeway. Finally, according to the cumulative frequency curve of average risk level index, traffic operation risk classification standard of road section with high rate of bridge and tunnel of freeway is established.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
