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广州机场第二高速大观路隧道间距受限路段交通标志优化设计

Optimization Design of Traffic Signs in the Restricted Section of the Daguan Road Tunnel for the Guangzhou Airport Second Expressway
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摘要 为对广州机场第二高速大观路隧道间距受限路段的交通标志进行优化设计,基于既有设计方案,从是否取消出口300 m预告标志和解除布设于隧道出口前150 m或250 m的禁止超车标志两个角度出发,提出了四种标志优化方案。通过驾驶模拟实验,采集了56名驾驶人在四种优化方案和原始方案下的运行速度、横向稳定性和换道平顺性指标,最终采用因子分析法,构建了间距受限路段的安全性综合评价模型。研究结果表明:原设计方案下的行车安全风险量化值最高,安全性最低;四种优化方案有利于提升间距受限路段的行车安全性。四种优化方案内,解除禁止超车标志移动至隧道出口前250 m、取消出口300 m预告标志的方案较其余方案行车安全风险量化值低,故推荐为最佳优化方案。 In order to optimize the traffic signs in the restricted section of the Daguan Road Tunnel for the Guangzhou Airport Second Expressway,this paper proposes foursign optimization schemes based on the existing design scheme.The schemes are derived from two perspectives:whether to cancel the 300m advance exitsign and relocate the no-overtaking sign to either 150m or 250m before the tunnel exit.Adriving simulation experiment was conducted to collect data on the operational speed,lateral stability,and lane change smoothness indices of 56 drivers under the four optimization schemes and the original scheme.Finally,a comprehensive evaluation model of the safety of the restricted section was constructed using the factor analysis method.The research results indicate that the original design scheme has the highest quantified value of driving safety risk and the lowest safety level.The four optimization schemes are beneficial for improving the driving safety of the restricted section.Among the four optimization schemes,the scheme that relocates the no-overtaking sign to 250 m before the tunnel exit and cancels the 300 m advance exit sign has the lowest quantified value of driving safety risk,making it the recommended optimal scheme.
作者 刘建华 葛洪成 吴绍明 王国军 侯福金 LIU Jianhua;GE Hongcheng;WU Shaoming;WANG Guojun;HOU Fujin
出处 《上海公路》 2023年第4期173-177,I0014,共6页 Shanghai Highways
基金 广州新白云国际机场第二高速公路南段工程项目(JGN-GCKY-01-001) 云南省交通运输厅科技创新及示范项目(2021-8) 山东省交通运输厅科技项目(2019B32)。
关键词 交通安全 隧道路段 互通立交 受限路段 驾驶模拟 因子分析法 traffic safety tunnel section interchange restricted section driving simulation factor analysis method
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