[1] 王伟杰,赵学增,潘昀路,等.便携式逆反射系数测试仪[J].光学精密工程,2017,25(12):3096-3104.
WANG Wei-jie,ZHAO Xue-zeng,PAN Yun-lu,et al.Portable retroreflection coefficient tester[J].Optics and Precision Engineering,2017,25(12):3096-3104.
[2]郑春弟,冯国进,梁凤臣,等.逆反射系数测量标准装置的建立[J].计量学报,2021,42(1):16-19.
ZHENG Chun-di,FENG Guo-jin,LIANG Feng-chen,et al.Establishment of a standard device for measuring the coefficient of retroreflection[J].Acta Metrologica Sinica,2021,42(1):16-19.
[3]王露婉,韩晓坤,何华阳,等.道路交通标线动静态测量比对研究[J].公路与汽运,2021(2):43-46.
WANG Lu-wan,HAN Xiao-kun,HE Hua-yang,et al.Comparative study on dynamic and static measurement of road traffic markings[J].Highways & Automotive Applications,2021(2):43-46.
[4]杨学政,滕方勇.标志反光膜逆反射性能评价方法与影响因素分析[J].山东交通科技,2020(2):106-109.
YANG Xue-zheng,TENG Fang-yong.Evaluation method and influence factor analysis of retroreflection performance of sign reflective film[J].Shandong Jiaotong Keji,2020(2):106-109.
[5]夏云峰,张修路,罗 雰,等.玻璃微珠逆反射系数的数值计算[J].西南科技大学学报,2019,34(2):102-106.
XIA Yun-feng,ZHANG Xiu-lu,LUO Fen,et al.Numerical calculation of retroreflection coefficient of glass beads[J].Journal of Southwest University of Science and Technology,2019,34(2):102-106.
[6]孙晓龙,袁俊申,于华洋,等.反光标线材料及其逆反射性能影响因素研究进展[J].广东工业大学学报,2021,38(4):81-94.
SUN Xiao-long,YUAN Jun-shen,YU Hua-yang,et al.Research progress of reflective marking materials and influencing factors of their retroreflective properties[J].Journal of Guangdong University of Technology,2021,38(4):81-94.
[7]韩海龙,龚 强,孙晓华,等.高等级公路沥青路面热熔标线性能变化规律研究[J].山东交通科技,2019(4):117-119.
HAN Hai-long,GONG Qiang,SUN Xiao-hua,et al.Study on the change law of hot melt marking performance of asphalt pavement of high-grade highway[J].Shandong Jiaotong Keji,2019(4):117-119.
[8]杨 勇,张智勇,李 旭,等.光源光谱对标志逆反射系数的影响[J].光谱学与光谱分析,2014,34(1):12-15.
YANG Yong,ZHANG Zhi-yong,LI Xu,et al.Influence of light source spectrum on sign retroreflection coefficient[J].Spectroscopy and Spectral Analysis,2014,34(1):12-15.
[9]陈艳艳,姜 明.公路交通标志反光膜逆反射系数衰减规律[J].交通运输工程学报,2016,16(6):107-113.
CHEN Yan-yan,JIANG Ming.Attenuation law of retroreflection coefficient of reflective film of highway traffic signs[J].Journal of Traffic and Transportation Engineering,2016,16(6):107-113.
[10]姜 明,张 帆,黎 峰.自然环境中指路标志反光膜逆反射系数衰减规律[J].公路交通科技,2012,29(3):137-141,148.
JIANG Ming,ZHANG Fan,LI Feng.Attenuation law of retroreflection coefficient of reflective film of road signs in natural environment[J].Journal of Highway and Transportation Research and Development,2012,29(3):137-141,148.
[11]郝晓燕,郭忠印,宋灿灿,等.基于可视性衰减的高速公路标志标线安全养护[J].公路,2019,64(1):271-277.
HAO Xiao-yan,GUO Zhong-yin,SONG Can-can,et al.Safety maintenance of expressway signs and markings based on visibility attenuation[J].Highway,2019,64(1):271-277.
[12]SHEHADEH A,ALSHBOUL O,AlMAMLOOK R E,et al.Machine learning models for predicting the residual value of heavy construction equipment:An evaluation of modified decision tree,LightGBM,and XGBoost regression[J].Automation in Construction,2021,129:103827.
[13]BAO J,LIU P V,UKKUSURI S.A spatiotemporal deep learning approach for citywide short-term crash risk prediction with multi-source data[J].Accident Analysis & Prevention,2019,122:239-254.
[14]ZHANG Q,LIU Y.Reliability evaluation of Markov cyber-physical system oriented to cognition of equipment operating status[J].Computer Communications,2022,181:80-89.
[15]BAO J,YANG Z,ZENG W L,et al.Exploring the spatial impacts of human activities on urban traffic crashes using multi-source big data[J].Journal of Transport Geography,2021,94,103118.
[16]QIN G,LI T,YU B,et al.Mining factors affecting taxi drivers' incomes using GPS trajectories[J].Transportation Research Part C,2017,79:103-118.
[17]杨 捷,李沛霖,罗成臣,等.基于数据挖掘的电网用户行为分析[J].云南大学学报(自然科学版),2020,42(增2):38-43.
YANG Jie,LI Pei-lin,LUO Cheng-chen,et al.Analysis of power grid user behavior based on data mining[J].Journal of Yunnan University(Natural Sciences Edition),2020,42(S2):38-43.
[18]LI L,SU X,WANG Y,et al.Robust causal dependence mining in big data network and its application to traffic flow predictions[J].Transportation Research Part C,2015,58:292-307.
[19]DO L N N,VU H L,VO B Q,et al.An effective spatial-temporal attention based neural network for traffic flow prediction[J].Transportation Research Part C,2019,108:12-28.
[20]CHEN L,ZHENG L,YANG J,et al.Short-term traffic flow prediction:From the perspective of traffic flow decomposition[J].Neurocomputing,2020,413:444-456.
[21]LIU T,WU W,ZHU Y,et al.Predicting taxi demands via an attention-based convolutional recurrent neural network[J].Knowledge-Based Systems,2020,206:106294.
[22]RODRIGUES F,MARKOU I,PEREIRA F C.Combining time-series and textual data for taxi demand prediction in event areas:A deep learning approach[J].Information Fusion,2019,49:120-129.
[23]HU S,GAO S,WU L,et al.Urban function classification at road segment level using taxi trajectory data:A graph convolutional neural network approach[J].Computers,Environment and Urban Systems,2021,87:101619.
[24]LIU X,GONG L,GONG Y,et al.Revealing travel patterns and city structure with taxi trip data[J].Journal of Transport Geography,2015,43:78-90.
[25]FENG R,YAO B,GU X,et al.Environmental benefits mining based on data-driven taxi cruising recommendation strategy[J].Journal of Cleaner Production,2021,326:129376.
[26]GROTE M,WILLIAMS I,PRESTON J,et al.A practical model for predicting road traffic carbon dioxide emissions using inductive loop detector data[J].Transportation Research Part D,2018,63:809-825.
[27]ZHAO P,HU H.Geographical patterns of traffic congestion in growing megacities:Big data analytics from Beijing[J].Cities,2019,92:164-174.
[28]高 珍,高 屹,余荣杰,等.连续数据环境下的道路交通事故风险预测模型[J].中国公路学报,2018,31(4):280-287.
GAO Zhen,GAO Yi,YU Rong-jie,et al.Road traffic accident risk prediction model under continuous data environment[J].China Journal of Highway and Transport,2018,31(4):280-287.
[29]戢晓峰,谢世坤,覃文文,等.基于轨迹数据的山区危险性弯道路段交通事故风险动态预测[J/OL].中国公路学报,2022:1-15[2022-02-19].http://kns.cnki.net/kcms/detail/61.1313.U.20201017.1414.002.html.
JI Xiao-feng,XIE Shi-kun,QIN Wen-wen,et al.Dynamic prediction of traffic accident risk in dangerous curve sections in mountainous areas based on trajectory data[J/OL].China Journal of Highway and Transport,2022:1-15[2022-02-19].http://kns.cnki.net/kcms/detail/61.1313.U.20201017.1414.002.html.
[30]廖孟柯,樊 冰,李忠政,等.基于改进Apriori算法的配电网设备退役信息挖掘[J].科学技术与工程,2021,21(24):10381-10386.
LIAO Meng-ke,FAN Bing,LI Zhong-zheng,et al.Distribution network equipment retirement information mining based on improved Apriori algorithm[J].Science Technology and Engineering,2021,21(24):10381-10386.
[31]舒珏淋,张 力,胡 建.基于高斯混合模型的智能电表误差数据挖掘与分析方法[J].电子测量技术,2021,44(15):56-61.
SHU Jue-lin,ZHANG Li,HU Jian.Error data mining and analysis method of smart meter based on Gaussian mixture model[J].Electronic Measurement Technology,2021,44(15):56-61.
[32]张振海,张湘婷.基于关联规则的铁路信号设备故障诊断方法[J/OL].铁道标准设计,2021:1-8[2021-12-25].https://doi.org/10.13238/j.issn.1004-2954.20
2101050002.
ZHANG Zhen-hai,ZHANG Xiang-ting.Fault diagnosis method of railway signal equipment based on association rules[J/OL].Railway Standard Design,2021:1-8 [2021-12-25].https://doi.org/10.13238/j.issn.
1004-2954.202101050002.
[33]王 波,何一芥.基于数据挖掘的毫米波激光通信性能分析研究[J].激光杂志,2021,42(9):104-108.
WANG Bo,HE Yi-jie.Performance analysis of millimeter wave laser communication based on data mining[J].Laser Journal,2021,42(9):104-108.
[34]张修建,杨 平,张鹏程.基于大数据的新兴产业计量校准服务平台研究[J].计算机测量与控制,2020,28(6):104-107.
ZHANG Xiu-jian,YANG Ping,ZHANG Peng-cheng.Research on measurement calibration service platform of emerging industries based on big data[J].Computer Measurement & Control,2020,28(6):104-107.
[35]沈意吉,傅家乐,张一帆.5G时代计量技术机构的智能场景应用前景[J].上海计量测试,2020,47(4):59-61.
SHEN Yi-ji,FU Jia-le,ZHANG Yi-fan.Intelligent scenario application prospect of measurement technology institutions in 5G era[J].Shanghai Measurement and Testing,2020,47(4):59-61.
[36]陈红岩,刘嘉豪,盛伟铭,等.基于GWO的SVM在红外甲烷传感器测量误差分析中的应用[J].计量学报,2021,42(9):1244-1249.
CHEN Hong-yan,LIU Jia-hao,SHENG Wei-ming,et al.Application of SVM based on GWO in measurement error analysis of infrared methane sensor[J].Acta Metrologica Sinica,2021,42(9):1244-1249.
[37]孔德明,段呈新,巴特·古森斯,等.基于车载16线激光雷达的障碍物检测方法[J].计量学报,2021,42(7):846-852.
KONG De-ming,DUAN Cheng-xin,BART·Gusens,et al.Obstacle detection method based on vehicle mounted 16 line lidar[J].Acta Metrologica Sinica,2021,42(7):846-852.
[38]张旭飞,张锋阳,李 凯,等.基于遗传算法的低频标准振动台簧片式回复结构优化[J].计量学报,2021,42(11):1459-1465.
ZHANG Xu-fei,ZHANG Feng-yang,LI Kai,et al.Optimization of reed return structure of low frequency standard shaking table based on genetic algorithm[J].Acta Metrologica Sinica,2021,42(11):1459-1465.