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摘要 :
为探讨雾天高速公路车路协同系统信息介入对驾驶人视觉信息加工模式的影响,首先,依托驾驶模拟平台设计了车路协同环境下的雾天高速公路驾驶模拟实验,获取驾驶人的视觉行为参数;其次,将前方道路定义为关键兴趣区域,分别提取驾驶人在全局水平及兴趣区域的注视、扫视等显性视觉特性指标,并分析其分布规律;最后,采用因子分析方法获取信息提取因子、感知密度因子及信息搜索因子共3个公因子,以表征雾天高速公路车路协同系统作用下驾驶人的视觉信息加工模式。结果表明,车路协同系统的应用会显著影响驾驶人的扫视行为及对前方道路的视觉资源分配,多元信息的介入改变了原有的信息分布,使驾驶员的信息提取效率提高,信息感知密度降低,信息搜索...
关键词 :
视觉信息加工 视觉信息加工 雾天预警 雾天预警 车路协同 车路协同 模拟驾驶 模拟驾驶
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GB/T 7714 | 李雪玮 , 赵晓华 , 李振龙 et al. 基于雾天高速车路协同模拟驾驶的驾驶人视觉信息加工模式 [J]. | 华南理工大学学报(自然科学版) , 2021 , 49 (03) : 131-138,148 . |
MLA | 李雪玮 et al. "基于雾天高速车路协同模拟驾驶的驾驶人视觉信息加工模式" . | 华南理工大学学报(自然科学版) 49 . 03 (2021) : 131-138,148 . |
APA | 李雪玮 , 赵晓华 , 李振龙 , 杨家夏 , 荣建 . 基于雾天高速车路协同模拟驾驶的驾驶人视觉信息加工模式 . | 华南理工大学学报(自然科学版) , 2021 , 49 (03) , 131-138,148 . |
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摘要 :
为了进一步提高信号交叉口饱和流率的估算精度,在现有的饱和流率模型基础上,提出一种考虑因素之间交互影响的饱和流率修正方法.以分析大车比例与车道宽度2个因素间的交互影响为目标,基于北京市22个信号交叉口35条直行车道实测数据,利用双因素方差分析法对因素间的交互作用进行检验,借助多元线性回归方法构建考虑交互作用后的综合修正系数模型,并通过新采集的北京市3个交叉口6条直行车道实测数据对提出的模型进行适用性分析.结果表明,考虑交互作用的饱和流率修正模型平均误差均小于15%,明显优于HCM2016模型的31.50%与GB50647—2011模型的28.49%;增加交互项(误差分别为11.68%、11.67...
关键词 :
车道宽度 车道宽度 交互作用 交互作用 大车比例 大车比例 交通工程 交通工程 信号交叉口 信号交叉口 饱和流率 饱和流率 双因素方差分析 双因素方差分析
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GB/T 7714 | 王益 , 荣建 , 周晨静 et al. 考虑大车比例与车道宽度因素交互影响的饱和流率修正 [J]. | 北京工业大学学报 , 2021 , 47 (02) : 154-161 . |
MLA | 王益 et al. "考虑大车比例与车道宽度因素交互影响的饱和流率修正" . | 北京工业大学学报 47 . 02 (2021) : 154-161 . |
APA | 王益 , 荣建 , 周晨静 , 常鑫 , 刘思杨 . 考虑大车比例与车道宽度因素交互影响的饱和流率修正 . | 北京工业大学学报 , 2021 , 47 (02) , 154-161 . |
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摘要 :
为更加精细化地分析驾驶人驾驶行为的风险特性,识别驾驶行为风险,提出基于驾驶行为模式转移的个体驾驶行为风险评估方法。通过驾驶模拟试验获取个体驾驶人细粒度驾驶行为数据,依据提取的驾驶行为参数值对驾驶行为模式进行分解,以驾驶模式间的相互转移概率为特征指标,描述驾驶行为模式转移特性;利用最大信息系数及随机森林算法优选特征指标,最终形成个体驾驶人驾驶行为风险评估模型,对驾驶人的驾驶行为风险等级进行辨识。结果表明,该方法可以很好地识别个体驾驶人在驾驶过程中的决策偏好,且驾驶行为风险辨识精度达到85.71%。
关键词 :
驾驶风险 驾驶风险 随机森林 随机森林 模式转移概率 模式转移概率 驾驶行为 驾驶行为
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GB/T 7714 | 孙宫昊 , 荣建 , 常鑫 et al. 基于驾驶行为模式转移的驾驶行为风险评估方法 [J]. | 汽车技术 , 2021 , (11) : 22-29 . |
MLA | 孙宫昊 et al. "基于驾驶行为模式转移的驾驶行为风险评估方法" . | 汽车技术 11 (2021) : 22-29 . |
APA | 孙宫昊 , 荣建 , 常鑫 , 刘思杨 , 高亚聪 . 基于驾驶行为模式转移的驾驶行为风险评估方法 . | 汽车技术 , 2021 , (11) , 22-29 . |
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摘要 :
In view of the benefits and a promising prospect of the emerging connected vehicles (CV), more and more vehicles will be equipped with the in-vehicle human-machine interface (HMI). This study aims to assess the comprehensive impacts of HMIs on individual driving performance, traffic safety, and eco-driving behaviour based on a driving simulator. In order to explore how a driver responds to warnings when approaching a tunnel, this study divided the experimental road into five zones according to warning positions. A comparative analysis was conducted to examine the changes in driving comfort, speeding behaviour, the standard deviation of speed, time headway (THW), fuel consumption, and emissions. Results showed that the HMI could be beneficial to speed adjustment before entering a tunnel. Meanwhile, HMI may affect the THW of vehicles. Drivers were usually more cautious when the HMI was on. However, no significant effects of the HMI for driving comfort and eco-driving behaviour can be observed. It is expected that more efficient technology and different warning strategies can be developed to enhance eco-safe driving for different zones because they have different effects. The findings of this study are also helpful for active safety management and for evaluating the effectiveness of CV systems. © 2021 The Authors. IET Intelligent Transport Systems published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology
关键词 :
Automobile drivers Automobile drivers Highway traffic control Highway traffic control Vehicle performance Vehicle performance
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GB/T 7714 | Chang, Xin , Rong, Jian , Li, Haijian et al. Impact of connected vehicle environment on driving performance: A case of an extra-long tunnel scenario [J]. | IET Intelligent Transport Systems , 2021 , 15 (3) : 423-431 . |
MLA | Chang, Xin et al. "Impact of connected vehicle environment on driving performance: A case of an extra-long tunnel scenario" . | IET Intelligent Transport Systems 15 . 3 (2021) : 423-431 . |
APA | Chang, Xin , Rong, Jian , Li, Haijian , Wu, Yiping , Zhao, Xiaohua . Impact of connected vehicle environment on driving performance: A case of an extra-long tunnel scenario . | IET Intelligent Transport Systems , 2021 , 15 (3) , 423-431 . |
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摘要 :
基于行程时间累积分布曲线的微观交通仿真模型参数标定
关键词 :
微观交通仿真 微观交通仿真 信号交叉口 信号交叉口 仿真参数标定 仿真参数标定 DTW算法 DTW算法 智能交通 智能交通 行程时间 行程时间
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GB/T 7714 | 高亚聪 , 周晨静 , 荣建 et al. 基于行程时间累积分布曲线的微观交通仿真模型参数标定 [J]. | 高亚聪 , 2021 , 38 (4) : 121-130 . |
MLA | 高亚聪 et al. "基于行程时间累积分布曲线的微观交通仿真模型参数标定" . | 高亚聪 38 . 4 (2021) : 121-130 . |
APA | 高亚聪 , 周晨静 , 荣建 , 公路交通科技 . 基于行程时间累积分布曲线的微观交通仿真模型参数标定 . | 高亚聪 , 2021 , 38 (4) , 121-130 . |
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摘要 :
基于雾天高速车路协同模拟驾驶的驾驶人视觉信息加工模式
关键词 :
模拟驾驶 模拟驾驶 视觉信息加工 视觉信息加工 车路协同 车路协同 雾天预警 雾天预警
引用:
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GB/T 7714 | 李雪玮 , 赵晓华 , 李振龙 et al. 基于雾天高速车路协同模拟驾驶的驾驶人视觉信息加工模式 [J]. | 李雪玮 , 2021 , 49 (3) : 131-138,148 . |
MLA | 李雪玮 et al. "基于雾天高速车路协同模拟驾驶的驾驶人视觉信息加工模式" . | 李雪玮 49 . 3 (2021) : 131-138,148 . |
APA | 李雪玮 , 赵晓华 , 李振龙 , 杨家夏 , 荣建 , 华南理工大学学报:自然科学版 . 基于雾天高速车路协同模拟驾驶的驾驶人视觉信息加工模式 . | 李雪玮 , 2021 , 49 (3) , 131-138,148 . |
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摘要 :
仿真模型参数标定是微观交通仿真技术科学应用的前提,以单个集计点作为校核目标制约了参数标定结果的可移植性。将校核对象拓展为多点组成的曲线,提出以行程时间累积分布曲线作为校核对象的模型参数标定思路,并结合动态时间规整算法(DTW算法)重新设计校核目标函数,提出基于Kolmogorov-Smirnov检验(K-S检验)、信息熵的标定结果有效性判定方法,优化微观仿真模型参数标定流程。然后以信号交叉口为仿真场景,应用遗传算法分别开展模型参数单个集计点校核标定和多点曲线校核标定的试验对比研究。结果表明:(1)与单个集计点标定方法相比,曲线标定方法输出的行程时间累积分布曲线与实测曲线相似度和K-S检验结果均...
关键词 :
DTW算法 DTW算法 仿真参数标定 仿真参数标定 信号交叉口 信号交叉口 微观交通仿真 微观交通仿真 智能交通 智能交通 行程时间 行程时间
引用:
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GB/T 7714 | 高亚聪 , 周晨静 , 荣建 . 基于行程时间累积分布曲线的微观交通仿真模型参数标定 [J]. | 公路交通科技 , 2021 , 38 (04) : 121-130 . |
MLA | 高亚聪 et al. "基于行程时间累积分布曲线的微观交通仿真模型参数标定" . | 公路交通科技 38 . 04 (2021) : 121-130 . |
APA | 高亚聪 , 周晨静 , 荣建 . 基于行程时间累积分布曲线的微观交通仿真模型参数标定 . | 公路交通科技 , 2021 , 38 (04) , 121-130 . |
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摘要 :
为了实时掌握信号交叉口饱和流率动态变化规律和提升估算精度,构建了以神经网络为基础的饱和流率动态估计模型.通过对北京市典型信号交叉口3种场景(直行进口道、直行左转进口道、直行右转进口道)实测数据为研究对象,分析每种场景下交通流运行特征,确定影响饱和流率的关键因素,确定神经网络模型的输入输出参数,并对模型进行标定.最后与经典HCM方法进行对比.结果表明:不同场景下,神经网络模型估计精度均优于HCM方法;其估算误差分别为11.23%,7.02%,4.70%.提出的方法能够准确地动态估计饱和流率,成果可用于信号控制方案的实时调整与精细化的运行管理.
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GB/T 7714 | 王益 , 荣建 , 周晨静 et al. 应用神经网络动态估计信号交叉口饱和流率 [J]. | 广西大学学报(自然科学版) , 2021 , 46 (3) : 714-723 . |
MLA | 王益 et al. "应用神经网络动态估计信号交叉口饱和流率" . | 广西大学学报(自然科学版) 46 . 3 (2021) : 714-723 . |
APA | 王益 , 荣建 , 周晨静 , 高亚聪 , 罗薇 . 应用神经网络动态估计信号交叉口饱和流率 . | 广西大学学报(自然科学版) , 2021 , 46 (3) , 714-723 . |
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摘要 :
The bicycle is a healthy and sustainable transport mode due to its emission-free characteristics. To increase bicycle use, it is fundamental to provide bicycle-friendly environments. To better monitor bicycle environments, this study proposed the concept of bicycling environment quality (BEQ), which was defined by perceived satisfaction and conflict level. Data collection was conducted at 19 road segments in five sites located in Beijing, China. Then, speed-related and acceleration-related bicycling behavior indicators (BBIs) were extracted from data collected using sensors on mobile phones, while bicycling environment indicators (BEIs), such as bicycle flow, were extracted from recorded data. Taking the BBIs and BEIs as input attributes, a two-level BEQ classification assessment model based on a random forest (RF) algorithm was constructed. The proposed RF-based classification assessment model was able to produce approximately 77.35% overall correct classification. The results demonstrate the feasibility of using GPS data in evaluating BEQ. In addition, a novel dockless bicycle-sharing system (DBS)-based framework for bicycle traffic monitoring is discussed, which is of great significance in the sustainable development of bicycles. This study provides a theoretical method for objective BEQ assessment. It can further be used by planners and road administrators to monitor and improve BEQ and by individual cyclists for optimal route choice.
关键词 :
bicycling environment quality bicycling environment quality classification classification mobile sensor mobile sensor monitoring monitoring random forest random forest
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GB/T 7714 | Bian, Yang , Li, Ling , Zhang, Huan et al. Categorizing Bicycling Environment Quality Based on Mobile Sensor Data and Bicycle Flow Data [J]. | SUSTAINABILITY , 2021 , 13 (8) . |
MLA | Bian, Yang et al. "Categorizing Bicycling Environment Quality Based on Mobile Sensor Data and Bicycle Flow Data" . | SUSTAINABILITY 13 . 8 (2021) . |
APA | Bian, Yang , Li, Ling , Zhang, Huan , Xu, Dandan , Rong, Jian , Wang, Jiachuan . Categorizing Bicycling Environment Quality Based on Mobile Sensor Data and Bicycle Flow Data . | SUSTAINABILITY , 2021 , 13 (8) . |
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摘要 :
To provide a better understanding of spatiotemporal characteristics of vehicle trajectories in connected vehicle environment, a driving simulation study was designed and conducted with an extra-long tunnel scenario. 35 drivers were recruited to participate in the driving experiment. To evaluate the spatiotemporal characteristics of vehicles with and without a warning system, objective measures were analyzed, including a spatiotemporal diagram of the curvature of obtained data and speed adjustment behaviors. This article also evaluated the impacts of connected vehicles on the traffic capacity based on the converging pattern mining method. The results indicated that the in-vehicle human-machine interface (HMI) improved driving behavior and traffic capacity. Notably, the in-vehicle HMI helped drivers better prepare for speed adjustments when approaching the tunnel and when the vehicle in front of the study vehicle made a sudden operational change. Moreover, the system contributed to a more stable operation speed, especially near the tunnel entrance, than that without the system. The findings suggest that connected vehicle environments enable drivers to change from traditional visual stimuli response behaviors to proactive response behaviors based on psychological expectations. Besides, based on the best-converging patterns from the spatiotemporal trajectories of 35 drivers, the results revealed that the traffic capacity could be improved by 22.19% under the experimental traffic flow conditions. Moreover, the differences in the benefits of the in-vehicle HMI among individuals were found to be statistically significant.
关键词 :
Accidents Accidents Driving performance Driving performance driving simulator driving simulator extra-long tunnel extra-long tunnel human-machine interface (HMI) human-machine interface (HMI) Layout Layout Roads Roads Safety Safety spatiotemporal characteristics spatiotemporal characteristics Spatiotemporal phenomena Spatiotemporal phenomena traffic capacity traffic capacity Trajectory Trajectory Vehicles Vehicles
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GB/T 7714 | Chang, Xin , Li, Haijian , Rong, Jian et al. Spatiotemporal Characteristics of Vehicle Trajectories in a Connected Vehicle Environment-A Case of an Extra-Long Tunnel Scenario [J]. | IEEE SYSTEMS JOURNAL , 2021 , 15 (2) : 2293-2304 . |
MLA | Chang, Xin et al. "Spatiotemporal Characteristics of Vehicle Trajectories in a Connected Vehicle Environment-A Case of an Extra-Long Tunnel Scenario" . | IEEE SYSTEMS JOURNAL 15 . 2 (2021) : 2293-2304 . |
APA | Chang, Xin , Li, Haijian , Rong, Jian , Qin, Lingqiao , Zhao, Xiaohua . Spatiotemporal Characteristics of Vehicle Trajectories in a Connected Vehicle Environment-A Case of an Extra-Long Tunnel Scenario . | IEEE SYSTEMS JOURNAL , 2021 , 15 (2) , 2293-2304 . |
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