Railway Passenger Flow Recognition Algorithm for Terminal Station Based on Cost Theory and Automatic Frequency Control

Guo, Jingwei; Xie, Zhongqi; Li, Qinglin; Shou-yi, Zhan; Xu, Jin

doi:10.1109/access.2020.2968721

Cited by 7 publications

(5 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…construction engineering [18]. e relevant research results of this chapter can lay a theoretical foundation for the quantification of the whole process application value, economic benefit analysis, and value promotion of BIM in green building.…”

Section: Sustainable Buildingmentioning

confidence: 96%

The Construction of Green Building Integrated Evaluation System Based on BIM Technology

Wang

2022

Mobile Information Systems

View full text Add to dashboard Cite

In order to study the problems of information disconnection, poor coordination of project participants, design evaluation, and so on, in the process of green building evaluation in China, this paper proposes a construction method of green building integrated evaluation system based on BIM Technology. This method constructs the research framework through the research on green building evaluation and BIM (building information modeling), analyzes the whole life cycle of BIM in green building, solves the problems existing in green building evaluation in China through the application of BIM, expounds the green building evaluation process under BIM environment, and studies the information interaction of green building evaluation under BIM environment and the application of BIM in green building design evaluation and operation evaluation. The results show that by studying the application of BIM in green building evaluation, it is demonstrated that the green building evaluation based on BIM can effectively improve the evaluation efficiency and realize the informatization, integration, and high efficiency of green building evaluation.

show abstract

Section: Sustainable Buildingmentioning

confidence: 96%

The Construction of Green Building Integrated Evaluation System Based on BIM Technology

Wang

2022

Mobile Information Systems

View full text Add to dashboard Cite

show abstract

“…With the start of China–Laos railway construction, the types and attributes of risks have been different from the traditional domestic railway projects in the past. From transnational cooperation and exchange to the international political, economic and social, and so on, all of these will have an impact on project construction (Guo et al , 2020). Therefore, it is necessary to evaluate the potential investment risks of the project in order to carry out risk management objectively.…”

Section: Methodsmentioning

confidence: 99%

An improved density-based approach to risk assessment on railway investment

Guo

Yongxiang

et al. 2021

DTA

Self Cite

View full text Add to dashboard Cite

PurposeDensity-based spatial clustering of applications with noise (DBSCAN) is the most commonly used density-based clustering algorithm, while it cannot be directly applied to the railway investment risk assessment. To overcome the shortcomings of calculation method and parameter limits of DBSCAN, this paper proposes a new algorithm called Improved Multiple Density-based Spatial clustering of Applications with Noise (IM-DBSCAN) based on the DBSCAN and rough set theory.Design/methodology/approachFirst, the authors develop an improved affinity propagation (AP) algorithm, which is then combined with the DBSCAN (hereinafter referred to as AP-DBSCAN for short) to improve the parameter setting and efficiency of the DBSCAN. Second, the IM-DBSCAN algorithm, which consists of the AP-DBSCAN and a modified rough set, is designed to investigate the railway investment risk. Finally, the IM-DBSCAN algorithm is tested on the China–Laos railway's investment risk assessment, and its performance is compared with other related algorithms.FindingsThe IM-DBSCAN algorithm is implemented on China–Laos railway's investment risk assessment and compares with other related algorithms. The clustering results validate that the AP-DBSCAN algorithm is feasible and efficient in terms of clustering accuracy and operating time. In addition, the experimental results also indicate that the IM-DBSCAN algorithm can be used as an effective method for the prospective risk assessment in railway investment.Originality/valueThis study proposes IM-DBSCAN algorithm that consists of the AP-DBSCAN and a modified rough set to study the railway investment risk. Different from the existing clustering algorithms, AP-DBSCAN put forward the density calculation method to simplify the process of optimizing DBSCAN parameters. Instead of using Euclidean distance approach, the cutoff distance method is introduced to improve the similarity measure for optimizing the parameters. The developed AP-DBSCAN is used to classify the China–Laos railway's investment risk indicators more accurately. Combined with a modified rough set, the IM-DBSCAN algorithm is proposed to analyze the railway investment risk assessment. The contributions of this study can be summarized as follows: (1) Based on AP, DBSCAN, an integrated methodology AP-DBSCAN, which considers improving the parameter setting and efficiency, is proposed to classify railway risk indicators. (2) As AP-DBSCAN is a risk classification model rather than a risk calculation model, an IM-DBSCAN algorithm that consists of the AP-DBSCAN and a modified rough set is proposed to assess the railway investment risk. (3) Taking the China–Laos railway as a real-life case study, the effectiveness and superiority of the proposed IM-DBSCAN algorithm are verified through a set of experiments compared with other state-of-the-art algorithms.

show abstract

“…+ stands for the proceeds from the sale of the remaining capacity in the spot market, and KC stands for the fixed production cost [40].…”

Section: Stackelberg Model Constructionmentioning

confidence: 99%

Stackelberg Game Model of Railway Freight Pricing Based on Option Theory

Guo

Xie

2020

Discrete Dynamics in Nature and Society

Self Cite

View full text Add to dashboard Cite

In recent years, although rail transport has contributed significantly to the productivity of the Chinese economy, it has also been faced with the fierce competition and challenge from other modes of transportation, and therefore, freight-pricing issue has received more attention by researchers. In this paper, the rail freight option (RFO) based on option theory is proposed to study the optimal pricing decision of the railway transportation enterprise and contract customers’ optimal purchase decisions. To obtain an effective RFO contract, the railway freight contract transaction process is first analyzed. Then, the theoretical framework for the RFO contract trading is put forward in the railway freight market. Next, a two-stage Stackelberg game theoretic approach is presented based on the principle of utility maximization to achieve the optimal decision of RFO contract. Subsequently, the reverse reasoning method in dynamic programming is used to solve the optimal combination decision of the contract customer. Finally, the optimal pricing decision of RFO is discussed using Kuhn–Tucker conditions and Lagrangian function. The result shows that the railway transportation enterprise should pay more attention to the option strike price w1 in terms of maximizing system utility and achieving Pareto optimal.

show abstract

Railway Passenger Flow Recognition Algorithm for Terminal Station Based on Cost Theory and Automatic Frequency Control

Cited by 7 publications

References 16 publications

The Construction of Green Building Integrated Evaluation System Based on BIM Technology

The Construction of Green Building Integrated Evaluation System Based on BIM Technology

An improved density-based approach to risk assessment on railway investment

Stackelberg Game Model of Railway Freight Pricing Based on Option Theory

Contact Info

Product

Resources

About