首页|高架路下匝道车辆压线换道行为及改善建议

高架路下匝道车辆压线换道行为及改善建议

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为保障高架路下匝道衔接区交通有序运行,从驾驶员违法压线换道行为与决策风格角度探索降低换道风险并提升通行能力的交通管理与设计措施.基于视频识别技术所获客观换道行为数据,从换道效率、换道难度和换道风险3个维度,提取换道速度、目标车道排队长度、可换道空间、与换道视野内车辆的最大速度差和横向加速度共5 个外显变量,构建压线换道决策风格分类LPA模型.随后,依次界定为控制型、稳健型、理智型、激进型、犹豫型和冲动型等 6 类换道决策风格,其中理智型、激进型和犹豫型较为常见,冲动型、犹豫型、激进型的决策风格危害较大.最后,针对不良决策风格,从左转车道渠化、车道分隔方案、限速(减速)措施等多个方面提出对策,引导驾驶员形成良性决策风格.
Lane-changing Behaviors in Pressuring Lines on Elevated Road Off-ramp Vehicles and Suggestions for Improvement
In order to guarantee the orderly operation of traffic in the off-ramp adjacent area of elevated roads,the traffic management and design measures are explored to reduce the risk of lane changing from the perspective of drivers'illegal lane-changing behavior and decision-making styles.Based on the objective lane-changing behavior data obtained by video recognition technology,five exogenous variables are extracted,including lane-changing speed,target lane queue length,lane-changing space,maximum speed difference,and lateral acceleration of vehicles in the field of view of lane-changing vehicles,from the three dimensions of lane-changing efficiency,lane-changing difficulty,and lane-changing risk.And then the LPA model is constructed for classifying the decision styles of lane-changing in pressuring lines.Six types of lane-changing decision-making styles,namely,controlled,robust,rational,aggressive,hesitant and impulsive,are defined.Rational,aggressive,and hesitant are more common,and impulsive,hesitant,and aggressive decision styles are more harmful.Eventually,countermeasures are proposed for the bad decision-making styles from various aspects.Giving priority to left-turn lane channelization,lane separation schemes,and speed limit/deceleration measures,etc.,to guide drivers to form benign decision-making styles.

Lane-changing decision stylesLatent profile analysisLane changes in pressuring linesElevated road off-ramp vehiclesVideo recognition techniques

薛行健、林晨玥、罗悦、宋睿

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中南林业科技大学 湖南省自然保护地风景资源大数据工程技术研究中心,长沙 410004

中南林业科技大学 物流学院,长沙 410004

换道决策风格 潜在剖面分析 压线换道 高架路下匝道车辆 视频识别技术

国家自然科学基金湖南省自然科学基金教育部人文社会科学研究青年基金

514086162022JJ3101719YJCZH208

2024

交通与运输
上海市交通工程学会

交通与运输

影响因子:0.342
ISSN:1671-3400
年,卷(期):2024.40(3)
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