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1:
[发明]
【中文】一种基于时间序列分解的短时交通流预测方法 【EN】Short-term traffic flow prediction method based on time series decomposition
申请号:
202010008741.X
公开号:CN111161538A 主分类号:G08G1/01
申请人:
【中文】东南大学【EN】SOUTHEAST University
申请日:2020.01.06 公开日:2020.05.15
发明人:
【中文】王炜
;
周伟
;
华雪东【EN】Wang Wei
;
Zhou Wei
;
Hua Xuedong
摘要:【中文】本发明公开了一种基于时间序列分解的短时交通流预测方法,它通过时间序列分解方法将交通流序列分解为趋势、周期和残差3个成分,再建立合适的模型对这3个成分单独训练并预测,最后将预测结果相加,作为最终的预测结果,它包括以下6个步骤:(1)采集所要预测道路断面的交通流数据;(2)将交通流序列分解为趋势、周期和残差3个成分;(3)对趋势成分和残差成分建立合适的预测模型,(4)将新观测的交通流数据动态分解;(5)对动态分解的3个成分单独预测;(6)将3个预测结果相加,作为最终的预测结果。该方法能够有效提高短时交通流预测结果的精确度。 【EN】The invention discloses a short-term traffic flow prediction method based on time series decomposition, which decomposes a traffic flow sequence into 3 components of trend, period and residual error by a time series decomposition method, establishes a proper model to train and predict the 3 components independently, and finally adds prediction results to serve as a final prediction result, wherein the method comprises the following 6 steps: (1) collecting traffic flow data of a road section to be predicted; (2) decomposing a traffic flow sequence into 3 components of trend, period and residual error; (3) establishing a proper prediction model for the trend component and the residual component, (4) dynamically decomposing newly observed traffic flow data; (5) predicting 3 components of dynamic decomposition separately; (6) and adding the 3 prediction results to obtain a final prediction result. The method can effectively improve the accuracy of the short-time traffic flow prediction result.
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2:
[发明]
【中文】一种基于机器学习的用户空铁联程城际出行信息处理方法 【EN】User air-rail joint inter-city trip information processing method based on machine learning
申请号:
201910966218.5
公开号:CN110866775A 主分类号:G06Q30/02
申请人:
【中文】东南大学【EN】SOUTHEAST University
申请日:2019.10.12 公开日:2020.03.06
发明人:
【中文】张聪伟
;
杨敏
;
贺正冰
;
刘冬梅
;
华雪东【EN】Zhang Congwei
;
Yang Min
;
He Zhengbing
;
Liu Dongmei
;
Hua Xuedong
摘要:【中文】本发明公开了一种基于机器学习的用户空铁联程城际出行信息处理方法。本发明的方法步骤如下:步骤一,采集空铁联程城际出行用户的个人属性数据以及用户历史出行数据;步骤二,对采集到的数据进行预处理;步骤三,对经过预处理后的数据根据城际出行频率分为A和B两类;步骤四,分别建立预测A类用户出行方案的logistics模型以及预测B类用户的概率模型;步骤五,使用步骤四中标定好的logistics模型为A类用户提出城际出行服务推荐方案,使用步骤四中标定好的概率模型为B类用户推荐城际出行服务方案。本发明能简化用户联程出行的复杂决策过程,提供个性化的出行服务,方便用户出行,高效利用现有交通资源,有利于交通的可持续发展。 【EN】The invention discloses a user air-rail joint inter-city travel information processing method based on machine learning. The method comprises the following steps: acquiring personal attribute data of an air-rail joint inter-city travel user and historical travel data of the user; step two, preprocessing the acquired data; dividing the preprocessed data into A and B types according to intercity travel frequency; respectively establishing a logistic model for predicting the travel scheme of the class A user and a probability model for predicting the class B user; and step five, using the calibrated logistic model in the step four to propose an intercity travel service recommendation scheme for the class A users, and using the calibrated probabilistic model in the step four to recommend the intercity travel service scheme for the class B users. The invention can simplify the complex decision making process of the user trip, provide personalized trip service, facilitate the user trip, efficiently utilize the existing traffic resources and be beneficial to the sustainable development of traffic.
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3:
[发明]
【中文】一种考虑航班延误的空铁联程出行方案生成方法 【EN】Air-rail link trip travel scheme generation method considering flight delay
申请号:
201911042557.0
公开号:CN110889537A 主分类号:G06Q10/04
申请人:
【中文】东南大学【EN】SOUTHEAST University
申请日:2019.10.30 公开日:2020.03.17
发明人:
【中文】任怡凤
;
杨敏
;
李斌
;
汪林
;
华雪东【EN】Ren Yifeng
;
Yang Min
;
Li Bin
;
Wang Lin
;
Hua Xuedong
摘要:【中文】本发明公开了一种考虑航班延误的空铁联程出行方案生成方法,该方法包含确定出行者城际出行需求、确定空铁联程中转城市、确定首程航空班次、预测首程航班延误时长、确定空铁换乘间隔时长、确定下一程铁路班次、判断是否已遍历完所有可能的联程中转城市、确定空铁联程总体出行方案八个步骤,基于历史365天航班数据,构建并标定了航班延误时长预测模型,并匹配铁路班次信息,实现城际多模式交通出行情景下的考虑航班延误的空铁联程出行方案生成,通过本发明方法,可以提前降低因航班延误造成的总体出行时长增加的影响,并为出行者提供多种空铁联程出行方案组合,扩展其出行模式选择空间,提高综合出行效率。 【EN】The invention discloses a method for generating an air-rail joint travel scheme considering flight delay, which comprises eight steps of determining the inter-city travel demand of a traveler, determining an air-rail joint transit city, determining a first-trip aviation shift, predicting the first-trip flight delay time, determining the air-rail transfer interval time, determining the next-trip railway shift, judging whether all possible link transit cities are traversed or not, and determining an air-rail joint total travel scheme, wherein a flight delay time prediction model is constructed and calibrated based on historical 365-day flight data, and is matched with railway shift information to realize the generation of the air-rail joint travel scheme considering flight delay under the inter-city multi-mode traffic travel situation, so that the influence of the increase of the total travel time caused by flight delay can be reduced in advance, and a plurality of air-rail joint travel scheme combinations are provided for the traveler, the travel mode selection space is expanded, and the comprehensive travel efficiency is improved.
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4:
[发明]
【中文】一种基于旅客感知的空铁联程服务综合评价方法 【EN】Air-rail joint service comprehensive evaluation method based on passenger perception
申请号:
201911284018.8
公开号:CN111160731A 主分类号:G06Q10/06
申请人:
【中文】东南大学【EN】SOUTHEAST University
申请日:2019.12.13 公开日:2020.05.15
发明人:
【中文】阮欣培
;
杨敏
;
袁亚龙
;
华雪东
;
周子一【EN】Ruan Xinpei
;
Yang Min
;
Yuan Yalong
;
Hua Xuedong
;
Zhou Ziyi
摘要:【中文】本发明公开了一种基于旅客感知的空铁联程服务综合评价方法,包括以下步骤:S1:获取旅客对空铁联程服务质量感知评价数据,汇总并清洗数据;S2:使用多层结构方程模型构建空铁联程服务综合评价指标体系,运用验证性因子分析的方法选定评价指标;S3:初步建立联程服务评价的结构方程模型,同时对潜在变量之间的关系作出假设;S4:基于最终的评价数据,进行结构方程模型参数的拟合,验证变量关系并对模型进行修正;S5:确定最终的结构方程模型后,根据计算的潜在变量值对空铁联程服务进行评价。本发明从旅客感知的角度出发,对空铁联程服务进行综合性评价,有利于开展涉及空铁联程服务质量与旅客满意度形成机理及其市场影响作用的科学研究。 【EN】The invention discloses a passenger perception-based air-rail joint service comprehensive evaluation method, which comprises the following steps of: s1: acquiring passenger air-rail joint service quality perception evaluation data, summarizing and cleaning the data; s2: constructing a comprehensive evaluation index system of air-rail joint journey service by using a multilayer structure equation model, and selecting an evaluation index by using a method of verification factor analysis; s3: preliminarily establishing a structural equation model of the linkage service evaluation, and making assumptions on the relation between the potential variables; s4: fitting the parameters of the structural equation model based on the final evaluation data, verifying the variable relation and correcting the model; s5: and after a final structural equation model is determined, evaluating the air-rail linkage service according to the calculated potential variable value. The invention comprehensively evaluates the air-rail joint journey service from the perspective of passenger perception, and is beneficial to developing scientific research relating to the formation mechanism of the air-rail joint journey service quality and the passenger satisfaction and the market influence.
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5:
[发明]
【中文】交叉口直行车使用对向左转道的动态车道设计及信控方法 【EN】Dynamic lane design and signal control method for intersection direct-driving vehicle to use opposite left-turn lane
申请号:
201911384465.0
公开号:CN111091724A 主分类号:G08G1/08
申请人:
【中文】东南大学【EN】SOUTHEAST University
申请日:2019.12.28 公开日:2020.05.01
发明人:
【中文】王炜
;
郑永涛
;
肖嘉梁
;
李东亚
;
华雪东【EN】Wang Wei
;
Zheng Yongtao
;
Xiao Jialiang
;
Li Dongya
;
Hua Xuedong
摘要:【中文】本发明公开了交叉口直行车使用对向左转道的动态车道设计及信控方法,包含了收集基本信息、确定动态车道空间位置和交叉口信号配时方案、计算动态车道长度取值范围、确定动态车道长度等四个步骤。该方法针对交叉口直行车道数小于出口车道数造成的车辆冲突、排队等问题,充分考虑土地利用限制,将对向左转车道设置为动态车道:直行时为直行出口道、其他时间为对向左转车道,既满足对向左转车辆通行需求,又使直行进、出口车道数平衡,有效消除冲突点,保障了交叉口运行的高效性、安全性、流畅性。本发明采用的方法无需改造交叉口周边用地,经济性强;发明方法便于计算与实际操作,实用性强,具有重要现实意义。 【EN】The invention discloses a dynamic lane design and signal control method for a left-turn lane used by intersection straightgoing, which comprises four steps of collecting basic information, determining a dynamic lane space position and an intersection signal timing scheme, calculating a dynamic lane length value range, determining a dynamic lane length and the like. The method is used for solving the problems of vehicle collision, queuing and the like caused by the fact that the number of straight lanes at the intersection is smaller than the number of exit lanes, fully considering the land utilization limitation, and setting a left-turning lane as a dynamic lane: the straight-going exit lane is used in straight-going, and the left-turning lane is used in other time, so that the passing requirement of left-turning vehicles is met, the number of straight-going and exit lanes is balanced, conflict points are effectively eliminated, and the high efficiency, safety and smoothness of intersection operation are guaranteed. The method adopted by the invention does not need to transform the land around the intersection, and has strong economy; the method is convenient for calculation and actual operation, has strong practicability and has important practical significance.
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6:
[发明]
【中文】一种磁性NH-MOFs纳米材料的制备及其应用 【EN】Magnetic NHPreparation and application of-MOFs nano material
申请号:
201911172758.2
公开号:CN110841612A 主分类号:B01J20/281
申请人:
【中文】温州医科大学【EN】WENZHOU MEDICAL University
申请日:2019.11.26 公开日:2020.02.28
发明人:
【中文】周佩佩
;
刘伟
;
王学东
;
张华
;
杨晓冉
;
蓝淑宁
;
王玮
;
刘建廷【EN】Zhou Peipei
;
Liu Wei
;
Wang Xuedong
;
Zhang Hua
;
Yang Xiaoran
;
Lan Shuning
;
Wang Wei
;
Liu Jianting
摘要:【中文】本发明涉及一种一种磁性NH
2
‑MOFs纳米材料的制备及其应用。本发明以磁性纳米粒子为基体,可控合成及构筑出粒径均一、形态有序的磁性NH
2
‑MOFs,具有较强污染物去除和富集能力。将磁性NH
2
‑MOFs材料制成磁性泡腾片剂,同时应用于野外PAHs富集与分离,建立磁性NH
2
‑MOFs泡腾片剂微萃取快速分离方法,通过磁性泡腾片剂兼萃取与分散为一体,NH
2
‑MOFs材料对多环芳烃的富集作用,CO
2
气泡的分散作用,从而获得一种操作简单,前处理时间短、检测限低的方法,并能够用于户外环境检测PAHs,减轻野外特异性污染物常规(监)检测的工作量。 【EN】The invention relates to magnetic NH
2
-preparation of MOFs nanomaterials and their use. The invention takes magnetic nano-particles as a matrix, and can controllably synthesize and construct magnetic NH with uniform particle size and ordered form
2
MOFs, which has strong pollutant removal and enrichment capacity. Magnetic NH
2
Magnetic effervescent tablets prepared from MOFs materials are simultaneously applied to enrichment and separation of field PAHs to establish magnetic NH
2
A micro-extraction and rapid separation method of-MOFs effervescent tablets, wherein NH is generated by integrating magnetic effervescent tablets with extraction and dispersion
2
-MOFs materials vs. polycyclic aromaticsEnrichment of hydrocarbons, CO
2
The dispersion of bubbles, thus obtaining a method with simple operation, short pretreatment time and low detection limit, and can be used for detecting PAHs in outdoor environment and reducing the workload of conventional (supervision) detection of field specific pollutants.
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7:
[发明]
【中文】基于旅客出行多元数据分析的空铁联程中转地点确定方法 【EN】Air-rail joint transit location determination method based on passenger travel multivariate data analysis
申请号:
201911069463.2
公开号:CN110879866A 主分类号:G06F16/9535
申请人:
【中文】东南大学【EN】SOUTHEAST University
申请日:2019.11.05 公开日:2020.03.13
发明人:
【中文】王哲源
;
杨敏
;
华雪东
;
杨桂新
;
徐铖铖
;
李大韦【EN】Wang Zheyuan
;
Yang Min
;
Hua Xuedong
;
Yang Guixin
;
Xu Chengcheng
;
Li Dawei
摘要:【中文】本发明公开了一种基于旅客出行多元数据分析的空铁联程中转地点确定方法,该方法包括了分类预测模型多源数据采集、多元数据分类、旅客出行方式选择时最大影响因素的预测、空铁联程出行信息采集、出行方案排序及生成以及中转地点的确定六大步骤。本发明方法通过对旅客一年中的出行频率、旅客一年中出行的主要目的、旅客一年中一次出行的平均距离、旅客一年中一次出行的平均花费等数据的分类预测出不同旅客出行方式选择时影响最大的因素,为旅客的空铁联程出行提供最符合个人偏好的中转地点选择以及个性化的出行方案推荐。 【EN】The invention discloses a method for determining a transit place of an air-rail joint based on passenger travel multivariate data analysis, which comprises six steps of classification prediction model multi-source data acquisition, multivariate data classification, prediction of maximum influence factors during passenger travel mode selection, air-rail joint travel information acquisition, travel scheme sequencing and generation and transit place determination. According to the method, the factors which have the greatest influence when different passenger travel modes are selected are predicted through classification of data such as the travel frequency of the passenger in one year, the main purpose of the passenger in one year, the average distance of the passenger in one year, the average cost of the passenger in one year and the like, and the transit place selection and personalized travel scheme recommendation which are most in line with personal preference are provided for the air-rail joint travel of the passenger.
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