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.
{"title":"Prediction model of passenger transfer volume between scenic spots based on clustering and dynamic Bayesian network","authors":"Qiuxia Sun, Guoxiang Chu, Qing Li, Xiuyan Jia","doi":"10.1117/12.2652773","DOIUrl":"https://doi.org/10.1117/12.2652773","url":null,"abstract":"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.","PeriodicalId":116712,"journal":{"name":"Frontiers of Traffic and Transportation Engineering","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121586326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
{"title":"Construction and application of safety stock index based on MI-TVP-SV-VAR model","authors":"Xinghong Li, Zonglei Hu, Huaqiong Liu","doi":"10.1117/12.2652381","DOIUrl":"https://doi.org/10.1117/12.2652381","url":null,"abstract":"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.","PeriodicalId":116712,"journal":{"name":"Frontiers of Traffic and Transportation Engineering","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127002309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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%.
{"title":"Performance study of vertical vibratory roller compaction of large thickness water stabilized layer","authors":"Changmin Yang, Honggang Li, Jinghui Pei, Bowen Qiao, Jianzhe Chu, Ziyang Ye, Chaoyi Cui","doi":"10.1117/12.2652410","DOIUrl":"https://doi.org/10.1117/12.2652410","url":null,"abstract":"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%.","PeriodicalId":116712,"journal":{"name":"Frontiers of Traffic and Transportation Engineering","volume":"215 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128018726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
{"title":"Research on operation scheme and capacity of airport runway under non-stop construction","authors":"Q. Ye, Ping Xue, Xiaobo Zhu, Lei Guo, Junwei Hao","doi":"10.1117/12.2652460","DOIUrl":"https://doi.org/10.1117/12.2652460","url":null,"abstract":"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.","PeriodicalId":116712,"journal":{"name":"Frontiers of Traffic and Transportation Engineering","volume":"1154 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132132616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The current paper selected 12 indicators from four aspects to establish evaluation indicators of the level of development of green logistics in Guangdong Province. The active weights of those indicators were obtained using the Analytic Hierarchy Process (AHP), which were then objectively empowered by the relevant economic statistics of Guangdong Province from 2010 to 2019 through the Entropy Weight Method (EWM) and combined with the results of the Analytic Hierarchy Process (AHP) to obtain the comprehensive empowerment of the indicators. The primary factors influencing the developments of green logistics in Guangdong Province in the medium- and long-term were explored.
{"title":"The level of developments of green logistics in Guangdong Province","authors":"Fan Zhang, Leili Liu","doi":"10.1117/12.2652737","DOIUrl":"https://doi.org/10.1117/12.2652737","url":null,"abstract":"The current paper selected 12 indicators from four aspects to establish evaluation indicators of the level of development of green logistics in Guangdong Province. The active weights of those indicators were obtained using the Analytic Hierarchy Process (AHP), which were then objectively empowered by the relevant economic statistics of Guangdong Province from 2010 to 2019 through the Entropy Weight Method (EWM) and combined with the results of the Analytic Hierarchy Process (AHP) to obtain the comprehensive empowerment of the indicators. The primary factors influencing the developments of green logistics in Guangdong Province in the medium- and long-term were explored.","PeriodicalId":116712,"journal":{"name":"Frontiers of Traffic and Transportation Engineering","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131823438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The numerical prediction of ultimate collision force in ship-bridge collision accident has a great influence on the safety of pier and bridge superstructure. However, ship-bridge collision problem is a complex nonlinear dynamic problem, and the linear empirical formula in the existing domestic and foreign standards cannot reflect the numerical value of collision force. In this paper, based on the data of established finite element model, the influence factors of maximum collision force are analyzed, four factors such as the time at which the maximum collision force occurs in the collision force curve, ship speed, hull quality and a coefficient which is related to the elastic deformation coefficient of the specimen of collision block (hull) and bridge pier are selected as the input of networks. BP and RBF neural network prediction models are established to predict the ultimate collision force of ship bridge collision. Combined with the prediction results, poor prediction accuracy of BP neural network is believed to be due to the over-fitting problem. Therefore GA-BP and PSO-BP algorithms are introduced to optimize the original BP neural network, of which the relative errors are 2.38% and 2.24% respectively and prediction accuracy is higher. The results show that it is feasible to predict the ultimate collision force of ship-bridge collision by using neural networks. Especially for the over-fitting problem of BP prediction model, the prediction accuracy of PSO-BP network after solving the over-fitting problem is convincing. The research in this paper successfully proves that the prediction of ultimate collision force by neural network in ship-bridge collision field is feasible with high precision accuracy, which provides scientific guidance and reference for the engineering safety of piers and other substructures in bridge design and construction.
{"title":"Neural network prediction model for ultimate collision force in ship-bridge collision","authors":"Tianqi Wang","doi":"10.1117/12.2652792","DOIUrl":"https://doi.org/10.1117/12.2652792","url":null,"abstract":"The numerical prediction of ultimate collision force in ship-bridge collision accident has a great influence on the safety of pier and bridge superstructure. However, ship-bridge collision problem is a complex nonlinear dynamic problem, and the linear empirical formula in the existing domestic and foreign standards cannot reflect the numerical value of collision force. In this paper, based on the data of established finite element model, the influence factors of maximum collision force are analyzed, four factors such as the time at which the maximum collision force occurs in the collision force curve, ship speed, hull quality and a coefficient which is related to the elastic deformation coefficient of the specimen of collision block (hull) and bridge pier are selected as the input of networks. BP and RBF neural network prediction models are established to predict the ultimate collision force of ship bridge collision. Combined with the prediction results, poor prediction accuracy of BP neural network is believed to be due to the over-fitting problem. Therefore GA-BP and PSO-BP algorithms are introduced to optimize the original BP neural network, of which the relative errors are 2.38% and 2.24% respectively and prediction accuracy is higher. The results show that it is feasible to predict the ultimate collision force of ship-bridge collision by using neural networks. Especially for the over-fitting problem of BP prediction model, the prediction accuracy of PSO-BP network after solving the over-fitting problem is convincing. The research in this paper successfully proves that the prediction of ultimate collision force by neural network in ship-bridge collision field is feasible with high precision accuracy, which provides scientific guidance and reference for the engineering safety of piers and other substructures in bridge design and construction.","PeriodicalId":116712,"journal":{"name":"Frontiers of Traffic and Transportation Engineering","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132424391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Changhua Wang, Xiliang Zhang, Xihao Zhu, Hancheng Yu, Shuangjing Ni
With the development of highway information, according to the actual demand of highway electromechanical equipment management, this paper designs a multi-protocol internet of things data acquisition system to realize instant messaging and data sharing of electromechanical equipment. The Kohonen neural network is used to train the adaptive module of the existing input protocol. According to the eigenvalues of the header, the shaping number of the end bytes and the length of a single packet of the protocol, the function of automatically selecting the appropriate protocol is realized. In the later stage, the ability to learn more protocol adaptation independently can be realized by updating the protocol knowledge base on the internet of things platform. The results show that the average processing time of Kohonen network for each protocol data is about 109ms, and the average recognition rate reaches 95.45%. Kohonen network can be applied in traffic engineering field and realize the conversion of various information data of electromechanical equipment with different protocols into unified information data through protocol conversion rules.
{"title":"Data acquisition system of Internet of Things based on Kohonen multi-protocol adaptation","authors":"Changhua Wang, Xiliang Zhang, Xihao Zhu, Hancheng Yu, Shuangjing Ni","doi":"10.1117/12.2652742","DOIUrl":"https://doi.org/10.1117/12.2652742","url":null,"abstract":"With the development of highway information, according to the actual demand of highway electromechanical equipment management, this paper designs a multi-protocol internet of things data acquisition system to realize instant messaging and data sharing of electromechanical equipment. The Kohonen neural network is used to train the adaptive module of the existing input protocol. According to the eigenvalues of the header, the shaping number of the end bytes and the length of a single packet of the protocol, the function of automatically selecting the appropriate protocol is realized. In the later stage, the ability to learn more protocol adaptation independently can be realized by updating the protocol knowledge base on the internet of things platform. The results show that the average processing time of Kohonen network for each protocol data is about 109ms, and the average recognition rate reaches 95.45%. Kohonen network can be applied in traffic engineering field and realize the conversion of various information data of electromechanical equipment with different protocols into unified information data through protocol conversion rules.","PeriodicalId":116712,"journal":{"name":"Frontiers of Traffic and Transportation Engineering","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117222490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
{"title":"Application of shuttle vehicle in urban underground logistics system","authors":"Yuan-yi Xia, Z. Fu, Huaqiong Liu","doi":"10.1117/12.2652774","DOIUrl":"https://doi.org/10.1117/12.2652774","url":null,"abstract":"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.","PeriodicalId":116712,"journal":{"name":"Frontiers of Traffic and Transportation Engineering","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116330125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
{"title":"Research on evaluation ideas and index construction of China's scenic byway","authors":"Xing-dong Yang, Fuqin Yue, Y. Liu, Pu Fan","doi":"10.1117/12.2652407","DOIUrl":"https://doi.org/10.1117/12.2652407","url":null,"abstract":"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.","PeriodicalId":116712,"journal":{"name":"Frontiers of Traffic and Transportation Engineering","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123867647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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.
{"title":"An intelligent life-cycle carbon emission measurement system for highway pavement construction","authors":"Xiuge Wang, Xing Yang, Naifu Deng, Yawen Wang","doi":"10.1117/12.2652745","DOIUrl":"https://doi.org/10.1117/12.2652745","url":null,"abstract":"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.","PeriodicalId":116712,"journal":{"name":"Frontiers of Traffic and Transportation Engineering","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114607455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：