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自然驾驶状态下重型工程车驾驶人驾驶稳定性分析 被引量:5
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作者 马永锋 喻铃华 +3 位作者 陈淑燕 张晨骁 张子煜 周穆雄 《中国公路学报》 EI CAS CSCD 北大核心 2022年第1期169-179,共11页
重型工程车行驶过程中事故风险大,发生恶性事故的概率高,易造成重大生命和经济损失,其运输安全管理问题面临挑战。为探究重型工程车驾驶人驾驶稳定性与相关影响因素之间的关系,开展重型工程车自然驾驶试验,提取车辆运动学、道路条件、... 重型工程车行驶过程中事故风险大,发生恶性事故的概率高,易造成重大生命和经济损失,其运输安全管理问题面临挑战。为探究重型工程车驾驶人驾驶稳定性与相关影响因素之间的关系,开展重型工程车自然驾驶试验,提取车辆运动学、道路条件、驾驶人状态和工作时间等数据;采用速度均值和速度标准差表征驾驶人驾驶稳定性,以睡眠模式、道路线形、道路类型、交叉口影响区、载重量和工作时间作为解释变量,构建考虑驾驶人个体异质性的广义线性混合模型(GLMM)。模型结果表明:通过与线性模型比较,速度均值模型需考虑随机效应,睡眠模式、道路线形、道路类型以及载重量对速度均值均存在显著影响,睡眠模式为“差”的驾驶人更倾向于较低的速度;速度标准差模型排除驾驶人个体异质性,道路线形、交叉口影响区、道路类型、载重量以及工作时间均对速度标准差影响显著;为提高重型工程车驾驶人驾驶稳定性,建议驾驶人形成健康良好的睡眠模式,关注道路线形变化带来的潜在风险,在经过交叉口影响区、空载状态或白天行驶时需更加谨慎。研究结果可为重型工程车驾驶人的危险驾驶行为矫正以及工作调度管理提供一定的理论基础。 展开更多
关键词 交通工程 驾驶稳定性 广义线性混合模型 重型工程车 睡眠模式
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HUD道路引导空间位置对新手驾驶人的影响
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作者 王枫红 陈岱琳 +1 位作者 高紫婷 文兆铖 《图学学报》 CSCD 北大核心 2024年第4期856-867,共12页
为探究转向驾驶情境中,不同道路指引空间位置、道路类型、路口转向、车流量和时间段对新手驾驶人驾驶稳定性和心理负荷的影响,通过搭建虚拟驾驶仿真平台,以道路指引空间位置、道路类型、路口转向、车流量、时间段为试验因素,以方向盘转... 为探究转向驾驶情境中,不同道路指引空间位置、道路类型、路口转向、车流量和时间段对新手驾驶人驾驶稳定性和心理负荷的影响,通过搭建虚拟驾驶仿真平台,以道路指引空间位置、道路类型、路口转向、车流量、时间段为试验因素,以方向盘转角标准差、瞳孔直径变异系数为试验指标,进行混合正交试验。采用极差分析法及交互作用比较试验结果,得到最优因素水平组合,并进行相关分析。结果表明,影响驾驶稳定性因素的主次顺序为路口类型>时间段>道路指引空间位置>车流量,影响心理负荷因素的主次顺序为道路指引空间位置>时间段>路口类型>车流量。道路指引空间位置作为HUD道路引导的设计要素,对驾驶人稳定性有促进或干扰,而对心理负荷均有所降低。这些发现为HUD道路指引相关信息设计提供参考,对HUD信息设计研究和城市道路驾驶研究有重要意义。 展开更多
关键词 新手驾驶 HUD 正交试验 驾驶稳定性 心理负荷
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雨雾气象对长大纵坡路段驾驶行为的影响研究 被引量:1
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作者 高琼 唐小富 周志刚 《公路工程》 北大核心 2019年第5期114-117,共4页
湖南省西部地区以山岭、重丘为主,地势起伏大,垂直小气候明显,一些长大纵坡路段的行车安全成为了交通管理的重点。为了分析雨雾气象对长大纵坡路段的行车影响,在对试验路段进行雨雾气象和交通环境方面监测的基础上,结合现场不同天气状... 湖南省西部地区以山岭、重丘为主,地势起伏大,垂直小气候明显,一些长大纵坡路段的行车安全成为了交通管理的重点。为了分析雨雾气象对长大纵坡路段的行车影响,在对试验路段进行雨雾气象和交通环境方面监测的基础上,结合现场不同天气状况下的驾驶试验,通过采集路段地理信息采集、行车速度、驾驶员脉搏血氧饱和度、车辆三轴加速度等数据,从雨量大小、雾的等级两方面分析得到了其对行车速度、驾驶员心理、驾驶稳定性操作等方面的影响。 展开更多
关键词 雨雾气象 长大纵坡路段 驾驶行为 心率突变 驾驶稳定性 加速度
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Intelligent back-looking distance driver model and stability analysis for connected and automated vehicles 被引量:8
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作者 YI Zi-wei LU Wen-qi +2 位作者 XU Ling-hui QU Xu RAN Bin 《Journal of Central South University》 SCIE EI CAS CSCD 2020年第11期3499-3512,共14页
The connected and automated vehicles(CAVs)technologies provide more information to drivers in the car-following(CF)process.Unlike the human-driven vehicles(HVs),which only considers information in front,the CAVs circu... The connected and automated vehicles(CAVs)technologies provide more information to drivers in the car-following(CF)process.Unlike the human-driven vehicles(HVs),which only considers information in front,the CAVs circumstance allows them to obtain information in front and behind,enhancing vehicles perception ability.This paper proposes an intelligent back-looking distance driver model(IBDM)considering the desired distance of the following vehicle in homogeneous CAVs environment.Based on intelligent driver model(IDM),the IBDM integrates behind information of vehicles as a control term.The stability condition against a small perturbation is analyzed using linear stability theory in the homogeneous traffic flow.To validate the theoretical analysis,simulations are carried out on a single lane under the open boundary condition,and compared with the IDM not considering the following vehicle and the extended IDM considering the information of vehicle preceding and next preceding.Six scenarios are designed to evaluate the results under different disturbance strength,disturbance location,and initial platoon space distance.The results reveal that the IBDM has an advantage over IDM and the extended IDM in control of CAVs car-following process in maintaining string stability,and the stability improves by increasing the proportion of the new item. 展开更多
关键词 linear stability intelligent driver model connected and automated vehicles
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Structural effect of a soft-hard backfill wall in a gob-side roadway 被引量:1
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作者 Wang Hongsheng Zhang Dongsheng Fan Gangwei 《Mining Science and Technology》 EI CAS 2011年第3期313-318,共6页
The stability of a backfill wall is critical to implement gob-side entry driving technology in which a small coal pillar is substituted by a waste backfill wall. Based on features of surrounding rock structures in the... The stability of a backfill wall is critical to implement gob-side entry driving technology in which a small coal pillar is substituted by a waste backfill wall. Based on features of surrounding rock structures in the backfill wall, we propose a mechanical model on the structural effect of a soft-hard backfill wall using theory analysis, physical experiments and a numerical simulation. The results show thatChe deformation of the structure of the soft-hard backfill wall is coordinated with the roof and floor. The soft structure on the top of the backfill wall can absorb the energy in the roof by its large deformation and adapt to the given deformation caused by the rotation and subsidence of a key rock block. The hard structure at the bottom of the backfill wall can absorb the strong supporting resistance from the top surrounding rock. The soft structure on the top protecting the hard bottom structure by its large deformation contributes to the stability of the entire backfill wall. An application indicated that the stress in the backfill wall effec- tively decreased and its deformation was significantly reduced after the top coal remained. This ensured the stability of the backfill wall. 展开更多
关键词 Gob-side roadway Backfill wall Structural effect Dynamic effectMain roof
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A Lattice Hydrodynamic Model for Trafc Flow Accounting for Driver Anticipation Efect of the Next-Nearest-Neighbor Site
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作者 彭光含 聂方彦 汪胜辉 《Communications in Theoretical Physics》 SCIE CAS CSCD 2013年第12期707-713,共7页
In this paper, a new lattice hydrodynamic model is proposed by incorporating the driver anticipation effect of next-nearest-neighbor site. The linear stability analysis and nonlinear analysis show that the driver anti... In this paper, a new lattice hydrodynamic model is proposed by incorporating the driver anticipation effect of next-nearest-neighbor site. The linear stability analysis and nonlinear analysis show that the driver anticipation effect of next-nearest-neighbor site can enlarge the stable area of traffic flow. The space can be divided into three regions: stab/e, metastable, and unstable. Numerical simulation further illuminates that the driver anticipation effect of the next-neaxest-neighbor site can stabilize tramc flow in our modified lattice model, which is consistent with the analytical results. 展开更多
关键词 traffic flow lattice model driver anticipation effect
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