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Prediction model of passenger transfer volume between scenic spots based on clustering and dynamic Bayesian network 基于聚类和动态贝叶斯网络的景区间客运量预测模型
Pub Date : 2022-11-21 DOI: 10.1117/12.2652773
Qiuxia Sun, Guoxiang Chu, Qing Li, Xiuyan Jia
In order to reduce the risks caused by congestion to scenic spot management and tourist safety, a dynamic Bayesian network model based on K-means++ clustering is proposed to realize the prediction of tourist transfer volume between scenic spots. Firstly, the K-means++ method is used to cluster the tourist transfer volume between scenic spots, we select the best number of clustering by the elbow rule, and the grade interval is determined by clustering results. Secondly, we consider the passenger transfer volume and tourist flow as the nodes of the dynamic Bayesian network, which can estimate the probability of tourist transfer from the upstream scenic spots to the target scenic spot, and the tourist volume of the target scenic spot is predicted. Finally, the confusion matrix is used to verify the validity of the proposed model. The case study shows: 1.) The prediction accuracy of the model can reach about 96%, which indicates that the model is suitable for tourist flow prediction. 2.) Compared to ARIMA, SVR, K-means + BN, and K-means + DBN, the proposed model has better prediction accuracy. 3.) The Bayesian network model outperforms deep learning models in interpretability.
为了降低拥堵给景区管理和游客安全带来的风险,提出了一种基于k -means++聚类的动态贝叶斯网络模型,实现了景区间游客流动量的预测。首先,采用k - meme++方法对景区间的客流量进行聚类,根据肘部规则选择最佳聚类数,并根据聚类结果确定分级区间;其次,将旅客转客量和旅游流量作为动态贝叶斯网络的节点,估计上游景区的游客向目标景区转移的概率,预测目标景区的游客数量;最后,利用混淆矩阵验证了所提模型的有效性。案例分析表明:1)模型的预测精度可达96%左右,表明该模型适用于旅游流量预测。2)。与ARIMA、SVR、K-means + BN和K-means + DBN相比,该模型具有更好的预测精度。3)。贝叶斯网络模型在可解释性方面优于深度学习模型。
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引用次数: 0
Construction and application of safety stock index based on MI-TVP-SV-VAR model 基于MI-TVP-SV-VAR模型的安全库存指数构建与应用
Pub Date : 2022-11-21 DOI: 10.1117/12.2652381
Xinghong Li, Zonglei Hu, Huaqiong Liu
As a part of stock, safety stock reduces the possibility of stock shortage and the cost of stock shortage, but the unreasonable setting of safety stock will increase the cost. This paper takes safety stock as the research object, introduces the financial field MI-TVP-SV-VAR model to construct safety stock index, and verifies the feasibility and effectiveness of the index through an example. The research results show that the construction of safety stock index can scientifically guide enterprises to set up safety stock, product production and resource allocation and investment, and help enterprises to make rapid response to market changes.
安全库存作为库存的一部分,降低了库存短缺的可能性和库存短缺的成本,但不合理的安全库存设置会增加成本。本文以安全库存为研究对象,引入金融领域MI-TVP-SV-VAR模型构建安全库存指数,并通过实例验证了该指数的可行性和有效性。研究结果表明,安全库存指数的构建可以科学地指导企业建立安全库存、产品生产和资源配置与投资,有助于企业对市场变化做出快速反应。
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引用次数: 0
Performance study of vertical vibratory roller compaction of large thickness water stabilized layer 垂直振动压路机压实大厚度水稳定层的性能研究
Pub Date : 2022-11-21 DOI: 10.1117/12.2652410
Changmin Yang, Honggang Li, Jinghui Pei, Bowen Qiao, Jianzhe Chu, Ziyang Ye, Chaoyi Cui
In road construction, the compaction of the large-thickness water-stable layer is mainly done in layers. However, the construction period is long, and the integrity of the water-stable layer after compaction is not good. To determine the maximum false pavement thickness and rolling combination that can be compacted at one time by LSV220 single drum vertical vibratory roller. In this paper, two test sections with a virtual pavement thickness of 100 cm were set up to bury the sensors in layers. Through the sensor and sand filling method, the maximum thickness of the compacted pavement is 47cm, and the combination of rolling is "one static compaction, one Weak vibration, and three Strong vibrations" The BP neural network was constructed using the experimental data was used to predict the compaction by sensor data. The error between the predicted and measured values of this neural network was verified to be 1.44%.
在道路施工中,大厚度水稳层的压实主要是分层进行的。但施工周期长,压实后水稳层完整性不好。确定LSV220单鼓立式振动压路机一次可压实的最大假路面厚度和轧制组合。本文设置两个虚拟路面厚度为100 cm的试验段,分层埋设传感器。通过传感器加填砂法,得到的压实路面最大厚度为47cm,碾压组合为“1静压实、1弱振动、3强振动”,利用实验数据构建BP神经网络,利用传感器数据对压实进行预测。经验证,该神经网络的预测值与实测值的误差为1.44%。
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引用次数: 0
Research on operation scheme and capacity of airport runway under non-stop construction 不间断建设下机场跑道运行方案及容量研究
Pub Date : 2022-11-21 DOI: 10.1117/12.2652460
Q. Ye, Ping Xue, Xiaobo Zhu, Lei Guo, Junwei Hao
In recent years, the civil aviation industry developed rapidly. Many airports have faced reconstruction and expansion. Non-stop construction has a negative impact on the operating efficiency and capacity. A case study of the target 4F airport is carried out to analyze the operation scheme of runway closure under the condition of non-stop construction. Analyze the impact of runway closure on the airport according to the change of airport traffic volume, runway and taxiway operation efficiency and other factors. It has guiding significance for the project. Provide reference for the airport construction and provide reference basis for the subsequent reasonable arrangement of construction sequence.
近年来,民航业发展迅速。许多机场都面临着重建和扩建。不间断施工对运营效率和产能有负面影响。以目标4F机场为例,分析了不间断施工条件下跑道关闭的运行方案。根据机场交通量、跑道和滑行道运行效率等因素的变化,分析跑道关闭对机场的影响。对工程具有指导意义。为机场建设提供参考,为后续合理安排施工顺序提供参考依据。
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引用次数: 0
An intelligent life-cycle carbon emission measurement system for highway pavement construction 公路路面施工全生命周期碳排放智能测量系统
Pub Date : 2022-11-21 DOI: 10.1117/12.2652745
Xiuge Wang, Xing Yang, Naifu Deng, Yawen Wang
Highway construction activities lead to higher carbon emissions and cause climate warming. Therefore, highway construction projects are the key emission reduction in China according to the "double carbon" target. This paper adopts the "bottom-up" measurement method and divides the project into item project, division project and unit project for carbon emission measurement and analysis. A carbon emission database based on MySQL is built to integrate the project quantity quota and carbon emission factors of highway projects. A carbon emission measurement system is developed by MATLAB to intelligently realize the carbon emission measurement and analysis of highway projects. The case analysis shows that the carbon emission measurement system proposed in this paper can better reflect the carbon emission data during the construction period and provide data support for energy saving and emission reduction.
公路建设活动导致碳排放增加,造成气候变暖。因此,按照“双碳”目标,公路建设项目是中国的重点减排项目。本文采用“自下而上”的测量方法,将项目分为项目项目、分区项目和单元项目进行碳排放测量与分析。建立基于MySQL的碳排放数据库,将公路项目的工程量配额与碳排放因子进行整合。利用MATLAB开发了一套碳排放测量系统,实现公路工程碳排放测量与分析的智能化。案例分析表明,本文提出的碳排放测量系统能较好地反映建筑施工期间的碳排放数据,为节能减排提供数据支持。
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引用次数: 0
Research on evaluation ideas and index construction of China's scenic byway 中国风景道评价思路与指标构建研究
Pub Date : 2022-11-21 DOI: 10.1117/12.2652407
Xing-dong Yang, Fuqin Yue, Y. Liu, Pu Fan
In view of the problems such as the imperfect theoretical system and the lack of evaluation system for the development of scenic byway in China, this paper studies and puts forward the basic connotation, main characteristics and spatial structure of scenic byway on the basis of fully drawing lessons from the evaluation and identification standards of scenic byway in the United States and combining with the actual development of scenic byway in China. According to the essential characteristics of scenic byway, this paper puts forward the main evaluation ideas, evaluation dimensions and evaluation index composition of China's scenic byway and uses analytic hierarchy process and fuzzy comprehensive evaluation method to calculate the index weight and overall evaluation score.
针对国内风景道发展理论体系不完善、评价体系缺失等问题,在充分借鉴美国风景道评价识别标准的基础上,结合国内风景道发展的实际,研究并提出了风景道的基本内涵、主要特征和空间结构。根据风景道的本质特征,提出了中国风景道的主要评价思路、评价维度和评价指标组成,并运用层次分析法和模糊综合评价法计算指标权重和综合评价分数。
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引用次数: 0
Automatic safety warning system for concomitant maintenance operations 伴随维修操作的自动安全警报系统
Pub Date : 2022-11-21 DOI: 10.1117/12.2652753
Qizheng Song, Hang Yi, Youliang Huang, J. Mu, Zirui Wang, Yan Guo, Huaqiong Liu
In recent years, the process of expressway construction has been accelerating, and operators need to carry out daily maintenance of the expressway. At the same time, expressway belongs to fast driving space. High speed driving will create a blind area of vision for operators, seriously threaten the life safety of maintenance operators, and cause great damage to the life and property safety of road maintenance personnel, maintenance operators and drivers. Based on this, the team designed and developed an active safety warning robot and intelligent road cone for accompanying maintenance operation. The robot body integrates a number of technical equipment such as visible light camera, audible and visual alarm and collision early warning radar. The robot can not only push the early warning information, but also accept the collapse signal of intelligent road cone and push the multi-sensory early warning signal. The intelligent road cone is equipped with RFID chip and balance sensor, which can push the early warning signal according to the collapse. The early warning system can effectively solve the early warning problems for the safety of operators and social vehicles when out of control vehicles break into the maintenance area in the process of expressway maintenance.
近年来,高速公路建设进程不断加快,运营商需要对高速公路进行日常维护。同时,高速公路属于快速行驶空间。高速行驶会给作业人员造成视觉盲区,严重威胁养护作业人员的生命安全,对道路养护人员、养护作业人员和驾驶员的生命财产安全造成极大损害。在此基础上,团队设计并开发了主动安全预警机器人和智能道路锥,用于伴随维修作业。机器人本体集成了可见光摄像头、声光报警、碰撞预警雷达等多项技术装备。机器人不仅可以推送预警信息,还可以接受智能道路锥的塌陷信号,推送多感官预警信号。智能路锥内置RFID芯片和平衡传感器,可根据坍塌情况推送预警信号。该预警系统可有效解决高速公路养护过程中失控车辆闯入养护区域对操作人员和社会车辆安全的预警问题。
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引用次数: 0
Application of shuttle vehicle in urban underground logistics system 穿梭车在城市地下物流系统中的应用
Pub Date : 2022-11-21 DOI: 10.1117/12.2652774
Yuan-yi Xia, Z. Fu, Huaqiong Liu
With the in-depth study of underground logistics system, the design and application of its transportation tools have become the key. This paper will discuss the innovative application of intelligent equipment -shuttle vehicle in the underground logistics system, construct the three-level network and operation platform of the underground logistics system, and study the new mode of underground logistics system based on shuttle vehicle, so as to play a driving role in the research of underground logistics.
随着地下物流系统研究的深入,其运输工具的设计与应用已成为关键。本文将探讨智能装备——穿梭车在地下物流系统中的创新应用,构建地下物流系统的三级网络和运行平台,研究基于穿梭车的地下物流系统新模式,以期对地下物流研究起到带动作用。
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引用次数: 0
Regional logistics enterprise performance management cost reduction and efficiency evaluation system 区域物流企业绩效管理降本增效评价体系
Pub Date : 2022-11-21 DOI: 10.1117/12.2652371
Yuyao Zhao, Haoming Ma, Huaqiong Liu
When the scale of logistics network of regional logistics enterprises reaches a certain level, the competition of network must turn to fine management, otherwise the cost of operation management will increase, and the efficiency of operation will decrease. The construction of management performance-oriented evaluation system is an effective means for enterprises to carry out directional management reform to reduce cost and increase efficiency. The enterprise management performance evaluation system is constructed based on PCA-DEA model. PCA was used to reduce dimension and determine performance evaluation indexes, and DEA data envelopment analysis was used to analyze and evaluate logistics nodes and find the improvement points. Finally, the optimization strategy of reducing cost and increasing efficiency is put forward based on the point of increasing efficiency.
当区域物流企业的物流网络规模达到一定水平后,网络的竞争就必须转向精细化管理,否则就会增加运营管理成本,降低运营效率。构建以管理绩效为导向的评价体系是企业进行定向管理改革降本增效的有效手段。基于PCA-DEA模型构建了企业管理绩效评价体系。采用主成分分析法降维确定绩效评价指标,采用DEA数据包络分析法对物流节点进行分析评价,找出改进点。最后,从提高效率的角度出发,提出了降低成本、提高效率的优化策略。
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引用次数: 0
Evaluation of smart port development level based on entropy weight TOPSIS method 基于熵权TOPSIS法的智能港口发展水平评价
Pub Date : 2022-11-21 DOI: 10.1117/12.2652585
Cuilian Liu, Siqi Zhan, Lina Heng
Under the background of the continuous progress of 5G, big data, Internet and other technologies, the construction of smart port is the future development trend of the port industry. How to effectively measure the smart development level of port is the key problem to be solved in the research. According to the influencing factors of smart port development, this paper establishes an evaluation index system of smart port development level from six indicators and uses entropy weight TOPSIS method as a comprehensive evaluation method. Shanghai Port is selected as the research object for in-depth empirical research to evaluate and analyze the development level of smart port. In terms of results, the smart development level of Shanghai Port generally shows an upward trend, which has experienced three stages: slow improvement, rapid improvement and small decline. Among them, innovation capacity has the greatest impact on the development level of smart port. The evaluation results of this paper can provide some ideas for the future smart development of the port.
在5G、大数据、互联网等技术不断进步的背景下,智慧港口的建设是港口行业未来的发展趋势。如何有效地衡量港口智能化发展水平是研究中需要解决的关键问题。根据智能港口发展的影响因素,从6个指标出发,建立了智能港口发展水平的评价指标体系,并采用熵权TOPSIS法作为综合评价方法。选取上海港为研究对象,进行深入的实证研究,评价和分析智慧港口的发展水平。从结果来看,上海港的智能化发展水平总体呈现上升趋势,经历了缓慢提升、快速提升和小幅下降三个阶段。其中,创新能力对智能港口发展水平的影响最大。本文的评价结果可以为今后港口的智能化发展提供一些思路。
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引用次数: 0
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Frontiers of Traffic and Transportation Engineering
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