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学者姓名：刘小明
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摘要 ：
为了研究导航播报措辞复杂度对驾驶行为的影响,以普通交叉口为例,将措辞复杂度分为Ⅰ、Ⅱ、Ⅲ、Ⅳ级,通过驾驶模拟方法获取实验数据,构建考虑驾驶人时空和综合行为表现的多维度指标体系,运用方差分析和非参数检验方法研究不同措辞引导下驾驶人行为表现的时空特征,挖掘驾驶人综合行为表现的变化规律。结果表明:导航播报情况下驾驶人普遍从交叉口上游200 m处开始减速;4种措辞的作用效果在交叉口上游100 m至下游100 m区段存在明显差异;Ⅰ、Ⅱ级措辞引导下车辆运行的平稳性较差;与Ⅰ级措辞相比,Ⅱ、Ⅲ和Ⅳ级措辞引导下驾驶人的综合行为表现依次提升15%、20%和40%。
关键词 ：
车辆导航 车辆导航 驾驶行为 驾驶行为 交通工程 交通工程 驾驶模拟技术 驾驶模拟技术 播报措辞复杂度 播报措辞复杂度
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| GB/T 7714 | 杨丽平 , 边扬 , 赵晓华 et al. 导航播报措辞复杂度对驾驶行为的影响 [J]. | 华南理工大学学报(自然科学版) , 2021 , 49 (03) : 139-148 . |
| MLA | 杨丽平 et al. "导航播报措辞复杂度对驾驶行为的影响" . | 华南理工大学学报(自然科学版) 49 . 03 (2021) : 139-148 . |
| APA | 杨丽平 , 边扬 , 赵晓华 , 伍毅平 , 刘小明 . 导航播报措辞复杂度对驾驶行为的影响 . | 华南理工大学学报(自然科学版) , 2021 , 49 (03) , 139-148 . |
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引用：
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| GB/T 7714 | Sun, Haodong , Chen, Yanyan , Wang, Yang et al. Trip purpose inference for tourists by machine learning approaches based on mobile signaling data (Aug, 10.1007/s12652-021-03346-y, 2021) [J]. | JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING , 2021 . |
| MLA | Sun, Haodong et al. "Trip purpose inference for tourists by machine learning approaches based on mobile signaling data (Aug, 10.1007/s12652-021-03346-y, 2021)" . | JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2021) . |
| APA | Sun, Haodong , Chen, Yanyan , Wang, Yang , Liu, Xiaoming . Trip purpose inference for tourists by machine learning approaches based on mobile signaling data (Aug, 10.1007/s12652-021-03346-y, 2021) . | JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING , 2021 . |
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摘要 ：
导航播报措辞复杂度对驾驶行为的影响
关键词 ：
交通工程 交通工程 播报措辞复杂度 播报措辞复杂度 车辆导航 车辆导航 驾驶模拟技术 驾驶模拟技术 驾驶行为 驾驶行为
引用：
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| GB/T 7714 | 杨丽平 , 边扬 , 赵晓华 et al. 导航播报措辞复杂度对驾驶行为的影响 [J]. | 杨丽平 , 2021 , 49 (3) : 139-148 . |
| MLA | 杨丽平 et al. "导航播报措辞复杂度对驾驶行为的影响" . | 杨丽平 49 . 3 (2021) : 139-148 . |
| APA | 杨丽平 , 边扬 , 赵晓华 , 伍毅平 , 刘小明 , 华南理工大学学报:自然科学版 . 导航播报措辞复杂度对驾驶行为的影响 . | 杨丽平 , 2021 , 49 (3) , 139-148 . |
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摘要 ：
随着城市化进程的不断推进,迅猛增加的轨道交通客流对客运组织管理提出了更高的要求.目前,虽然多样化的视频采集设备已广泛应用于地铁客流监测中,但是对视频监测范围缺乏统一的标准规范导致监控设备布设随意性大、客流采集无法满足监测需求,鉴于此,开展了对轨道交通车站客流状态数据采集范围的研究.首先,阐述了客流状态采集范围的概念和影响因素;其次,分析轨道交通车站不同功能区域的数据采集参数类型,以全面性及精度最优为目标,构建了不同功能区域的采集范围模型,并给出模型中参数权重的计算方法和模型求解方法;最后,以北京西直门地铁站为研究对象进行实例分析,给出其不同功能区客流状态数据的最优采集范围.研究结果可为交通流数据的获取提供有效的技术支持和保障.
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| GB/T 7714 | 宋程程 , 陈艳艳 , 陈宁 et al. 城市轨道交通车站客流状态采集范围 [J]. | 科学技术与工程 , 2021 , 21 (27) : 11836-11842 . |
| MLA | 宋程程 et al. "城市轨道交通车站客流状态采集范围" . | 科学技术与工程 21 . 27 (2021) : 11836-11842 . |
| APA | 宋程程 , 陈艳艳 , 陈宁 , 刘小明 . 城市轨道交通车站客流状态采集范围 . | 科学技术与工程 , 2021 , 21 (27) , 11836-11842 . |
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摘要 ：
Nowadays, a large percentage of people use smartphones frequently. The mobile phone signaling data contains various attributes that can be used to infer when and where the user is. Compared with other big data sources (e.g., social media and GPS data) for the human movement, mobile phone signaling data demonstrate the advantages of a high coverage of population, strong temporal continuity, and low cost of collection. Taking advantage of such mobile phone signaling data, this work aims to identify tourists and locals from a large volume of mobile phone signaling data in a tourism city and analyze their spatiotemporal patterns to better promote tourism service and alleviate possible disturbance to local residents. In this paper, we present a framework to differentiate these two types of people by the following procedure: first, the hidden behavior characteristics of users are extracted from mobile phone signaling data; and then, the K-means clustering method is adopted to identify tourists and locals. With the identification of both tourists and local residents, we analyze the distribution and interaction characteristics of tourists and locals in an urban area. An experimental study is conducted in a famous tourism city, Xiamen, China. The results indicate that the proposed method can successfully identify the most popular scenic spots and major transportation corridors for tourists. The feature extraction, identification, and spatiotemporal analysis presented in this paper are of great significance for analyzing the urban tourism demand, managing the urban space, and mining the tourist behavior.
关键词 ：
Mobile phone signaling data Mobile phone signaling data Human mobility Human mobility Tourists behavior Tourists behavior K-means clustering method K-means clustering method
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| GB/T 7714 | Sun, Haodong , Chen, Yanyan , Lai, Jianhui et al. Identifying Tourists and Locals by K-Means Clustering Method from Mobile Phone Signaling Data [J]. | JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS , 2021 , 147 (10) . |
| MLA | Sun, Haodong et al. "Identifying Tourists and Locals by K-Means Clustering Method from Mobile Phone Signaling Data" . | JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS 147 . 10 (2021) . |
| APA | Sun, Haodong , Chen, Yanyan , Lai, Jianhui , Wang, Yang , Liu, Xiaoming . Identifying Tourists and Locals by K-Means Clustering Method from Mobile Phone Signaling Data . | JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS , 2021 , 147 (10) . |
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摘要 ：
It has been gradually recognized that mobile phones can be used as a practical and promising way to identify individual travel trajectories. Researchers have developed various approaches to detecting human mobility and trip characteristics including trip origin-destination, travel modes, trip purposes based on mobile phone data. Among these researches, trip purpose detection has drawn less attention from researchers. This paper presents our work to investigate a set of machine learning approaches to identifying the trip purposes for tourists based on mobile signaling data combined with sampling surveys and point of interest (POI) data. Five machine learning algorithms, including support vector machine, decision tree, random forest, artificial neural network, and deep stacked auto-encoded (DSAE), have been employed to infer trip purposes under multiple scenarios. Four scenarios have been designed by considering the POI information around trip end [a 500 m buffer or Thiessen polygon (the coverage of the base station theoretically)] and training dataset selection (equal probabilities selection or equal proportion selection). The accuracy of trip purpose classification with machine learning algorithms has compared under different scenarios. The highest accuracy of 93.47% for the test dataset is achieved based on DSAE model under the scenario of a trip end 500 m buffer and equal probabilities selection. The experimental results indicate that the methodology developed with machine learning algorithms based on mobile signaling data combined with sample travel survey is expected as an alternative way to traditional travel surveys for trip purposes.
关键词 ：
Trip purpose Trip purpose Point of interest data Point of interest data Machine learning Machine learning Mobile signaling data Mobile signaling data
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| GB/T 7714 | Sun, Haodong , Chen, Yanyan , Wang, Yang et al. Trip purpose inference for tourists by machine learning approaches based on mobile signaling data [J]. | JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING , 2021 . |
| MLA | Sun, Haodong et al. "Trip purpose inference for tourists by machine learning approaches based on mobile signaling data" . | JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2021) . |
| APA | Sun, Haodong , Chen, Yanyan , Wang, Yang , Liu, Xiaoming . Trip purpose inference for tourists by machine learning approaches based on mobile signaling data . | JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING , 2021 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
This study proposes an integrated technology acceptance model to investigate the factors that affect drivers' usage intention of mobile navigation applications. The proposed model adds three new constructs (drivers' sense of direction, navigation application affinity and distraction perception) to the original technology acceptance model based on the features of mobile navigation applications. First, a questionnaire was developed and ad-ministered, and data from 384 drivers were collected via an online survey. Second, confirmatory factor analysis was conducted to examine the reliability and validity of the developed scale based on the collected data. Third, a structural equation model was constructed to investigate the interrelationships among these constructs in the conceptual research model and to identify the key factors that affect drivers' acceptance of mobile navigation applications. The proposed model explained 60.50% of the variance in the intention to use mobile navigation applications. In addition to attitude and perceived usefulness, navigation application affinity and distraction perception also significantly affected drivers' intention to use mobile navigation applications. Navigation application affinity and distraction perception affected not only drivers' intention to use but also their perceptions. Sense of direction was a significant individual trait that affected drivers' navigation application affinity, distraction perception, perceived ease of use and perceived usefulness. These findings imply that relevant developers should continually optimize the incorrect and inappropriate use of navigation information and that they should attach importance to the amount and intelligibility of navigation information. Furthermore, the prompt form of navigation information should satisfy the demands and expectations of drivers with different senses of direction. Overall, this study improves our understanding of drivers' acceptance of mobile navigation applications and provides some important practical implications to improve mobile navigation services.
关键词 ：
Navigation application affinity Navigation application affinity Sense of direction Sense of direction Distraction perception Distraction perception Mobile navigation applications Mobile navigation applications Technology acceptance model Technology acceptance model
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| GB/T 7714 | Yang, Liping , Bian, Yang , Zhao, Xiaohua et al. Drivers' acceptance of mobile navigation applications: An extended technology acceptance model considering drivers' sense of direction, navigation application affinity and distraction perception [J]. | INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES , 2021 , 145 . |
| MLA | Yang, Liping et al. "Drivers' acceptance of mobile navigation applications: An extended technology acceptance model considering drivers' sense of direction, navigation application affinity and distraction perception" . | INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES 145 (2021) . |
| APA | Yang, Liping , Bian, Yang , Zhao, Xiaohua , Liu, Xiaoming , Yao, Xianglin . Drivers' acceptance of mobile navigation applications: An extended technology acceptance model considering drivers' sense of direction, navigation application affinity and distraction perception . | INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES , 2021 , 145 . |
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摘要 ：
In China, F-type-5 m intersections are not uncommon. One approach of these intersections usually includes a driveway closely followed by an intersecting street, and the driveway and the intersecting street are parallel and approximately 5 m apart. Nowadays, drivers often rely on the navigation systems for directions. However, it is found that the navigation systems sometimes mislead or confuse drivers to make wrong turns or miss their turns at such F-type-5 m intersections. This study proposed to employ driving simulation to identify the appropriate prompt message delivered at the right prompt timing to help drivers navigate through such F-type-5 m intersections. First, a within-subjects two-factor experiment was designed. One factor was the Prompt Timing Mode (PTM), representing a set of three sequential messages broadcast by the navigation system at varying distances to the intended intersection; the other factor was the Prompt Message Type (PMT), representing various sets of three sequential messages broadcast by the navigation system. Three Prompt Timing Modes were used: PTM1 = {- 400 m, -200 m, - 30 m}, PTM2 = {- 300 m, - 150 m, - 30 m}, and PTM3 = {- 200 m, - 100 m, - 30 m}. Three Prompt Message Types were defined: PMT-A = {Turn right at the traffic light XXm ahead; Turn right at the traffic light XXm ahead; Turn right}, PMT-B = {Turn right at the traffic light XXm ahead, enter YY street; Turn right at the traffic light XXm ahead, enter YY street; Turn right}, PMT-C = {Turn right at the traffic light XXm ahead, enter YY street, and please use the second right turn lane; Turn right at the traffic light XXm ahead, enter YY street, and please use the second right turn lane; Turn right}. The combinations of the two factors generated nine experimental intersections which were randomly assigned to three experimental routes. Then, a total of 37 drivers were recruited, and participated in the driving simulation experiment from which vehicle operation data were collected under different prompt timing modes and message types. Next, the repeated Analysis of Variance (rANOVA) was performed to examine the effects of different prompt timing modes and prompt message types on vehicle operation indicators, such as Driving Time, Standard Deviation of Speed, Absolute Value of Acceleration, and Standard Deviation of Acceleration. Finally, the grey near-optimal method was adopted to evaluate the effectiveness of three prompt message types under each prompt timing mode. The rANOVA results showed the vehicle operation in the F-type-5 m intersection was affected by prompt timing modes and prompt message types; the evaluation results indicated that PMT-C made drivers perform better in PTM1 and PTM3, while PMT-B made drivers perform better inPTM2. However, the effectiveness of PMT-A was the lowest in each prompt timing mode. The research results provide valuable guidance to design the human machine interface of navigation systems, which can help drivers safely navigate through F-type-5 m intersections. This research also has laid solid foundations for establishing navigation messaging design guidelines.
关键词 ：
Driving simulator Driving simulator m intersections m intersections Grey near-optimal method Grey near-optimal method rANOVA rANOVA Navigation prompt timings Navigation prompt timings F-type-5  F-type-5  Navigation prompt messages Navigation prompt messages
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| GB/T 7714 | Yang, Liping , Bian, Yang , Zhao, Xiaohua et al. Experimental research on the effectiveness of navigation prompt messages based on a driving simulator: a case study [J]. | COGNITION TECHNOLOGY & WORK , 2021 , 23 (3) : 439-458 . |
| MLA | Yang, Liping et al. "Experimental research on the effectiveness of navigation prompt messages based on a driving simulator: a case study" . | COGNITION TECHNOLOGY & WORK 23 . 3 (2021) : 439-458 . |
| APA | Yang, Liping , Bian, Yang , Zhao, Xiaohua , Ma, Jianming , Wu, Yiping , Chang, Xin et al. Experimental research on the effectiveness of navigation prompt messages based on a driving simulator: a case study . | COGNITION TECHNOLOGY & WORK , 2021 , 23 (3) , 439-458 . |
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摘要 ：
准确判断城市汽车拥有水平对于汽车产业发展和城市交通规划具有重要意义.利用解释结构模型,构建影响城市汽车拥有水平的整体框架体系,将15个影响因素划分为4个层次.识别了城市人口规模、城市人口密度等影响汽车拥有水平的根本性因素,以及居民可支配收入水平、公共交通服务水平等最直接的影响因素.构建城市建成区人口密度、城市人口规模与千人汽车保有量极限值的回归模型,发现城市建成区人口密度相比于城市人口密度具有更好的解释力,负指数模型比线性模型有更好的解释力.通过模型推算,中国超大城市、特大城市和大城市远期的千人汽车保有量将分别处于300辆·千人-1,350辆·千人-1和400辆·千人-1左右的水平,小城市可能达到450辆·千人-1甚至更高水平.
关键词 ：
交通政策 交通政策 千人汽车保有量 千人汽车保有量 回归分析 回归分析 影响因素 影响因素 汽车保有量 汽车保有量 解释结构模型 解释结构模型
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| GB/T 7714 | 姚广铮 , 刘小明 , 陈艳艳 et al. 城市汽车保有量极限值分析与预测 [J]. | 城市交通 , 2020 , 18 (5) : 110-119 . |
| MLA | 姚广铮 et al. "城市汽车保有量极限值分析与预测" . | 城市交通 18 . 5 (2020) : 110-119 . |
| APA | 姚广铮 , 刘小明 , 陈艳艳 , 崔凯俊 . 城市汽车保有量极限值分析与预测 . | 城市交通 , 2020 , 18 (5) , 110-119 . |
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摘要 ：
The surface roughness induced by geometric irregularities (asperities) has substantial influence on the contact stiffness, which further affects the working performance and service life of mechanical equipment. In this study, an elastic-plastic contact law between a sinusoidal asperity and a rigid smooth flat is first studied, which is then applied on a statistical model to simulate the contact behavior of a pair of 18CrMo4 steel surfaces to investigate the influences of morphology parameters on the contact stiffness. The analysis shows that smaller shape ratios xi and larger wavelengths lambda induce larger normal contact stiffness K-n for surfaces with identical roughness, wherein the roughness is defined by the mean value of asperity heights R-a and the standard deviation of asperity heights R-q. The normal contact stiffness increases as R-a decreases under the same loading conditions, while the normal contact stiffness increases as R-q decreases for surfaces with a fixed R-a. Besides, the normal pressure and normal contact, stiffness derived from the proposed contact model are validated. The results demonstrate the potential of the proposed model in contact design due to its ability of establishing the relations between the normal contact stiffness and surface morphology parameters.
关键词 ：
18CrMo4 steel interface 18CrMo4 steel interface contact stiffness contact stiffness Sinusoidal asperities Sinusoidal asperities morphology parameters morphology parameters elastic-plastic statistical model elastic-plastic statistical model
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| GB/T 7714 | Fan, L. F. , Zhao, L. , Liu, X. M. . Influences of Morphology Parameters on the Contact Behavior of a Steel Interface [J]. | INTERNATIONAL JOURNAL OF APPLIED MECHANICS , 2020 , 12 (1) . |
| MLA | Fan, L. F. et al. "Influences of Morphology Parameters on the Contact Behavior of a Steel Interface" . | INTERNATIONAL JOURNAL OF APPLIED MECHANICS 12 . 1 (2020) . |
| APA | Fan, L. F. , Zhao, L. , Liu, X. M. . Influences of Morphology Parameters on the Contact Behavior of a Steel Interface . | INTERNATIONAL JOURNAL OF APPLIED MECHANICS , 2020 , 12 (1) . |
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