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Article
Publication date: 5 November 2024

Narthsirinth Netirith and Mingjun Ji

Advancements in enhancing regional port connectivity are crucial to fostering global maritime transport. The objective of this paper is to explore the complex relationship between…

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Abstract

Purpose

Advancements in enhancing regional port connectivity are crucial to fostering global maritime transport. The objective of this paper is to explore the complex relationship between infrastructure connectivity and the regional port of Thailand, specifically within the Regional Comprehensive Economic Partnership (RCEP).

Design/methodology/approach

This paper utilised fuzzy logic in exploratory factor analysis and introduced a new factor based on shipping networks, port operations, trade and emerging innovations. This can enhance the regional port and facilitate infrastructure connectivity in the RCEP. The results of this study have been successfully applied in specific contexts involving port authorities and private shipping companies.

Findings

The study’s findings indicate key factors for enhancing regional ports in Thailand. These factors include integrating connectivity, creating spare hubs, addressing service issues, optimising logistics and supply chains, considering market components and leveraging the digital market. These factors are also crucial for promoting infrastructure connectivity within the RCEP framework.

Originality/value

This research presents a strategic framework for enhancing regional ports in Thailand and improving international infrastructure. This is the first attempt to examine the influence of infrastructure connectivity on regional ports by applying fuzzy exploratory factor analysis to modernise infrastructure, which is key to unlocking the region’s maritime potential.

Details

Maritime Business Review, vol. 9 no. 4
Type: Research Article
ISSN: 2397-3757

Keywords

Available. Open Access. Open Access
Article
Publication date: 10 February 2023

Junting Lin, Mingjun Ni and Huadian Liang

This study aims to propose an adaptive fractional-order sliding mode controller to solve the problem of train speed tracking control and position interval control under…

735

Abstract

Purpose

This study aims to propose an adaptive fractional-order sliding mode controller to solve the problem of train speed tracking control and position interval control under disturbance environment in moving block system, so as to improve the tracking efficiency and collision avoidance performance.

Design/methodology/approach

The mathematical model of information interaction between trains is established based on algebraic graph theory, so that the train can obtain the state information of adjacent trains, and then realize the distributed cooperative control of each train. In the controller design, the sliding mode control and fractional calculus are combined to avoid the discontinuous switching phenomenon, so as to suppress the chattering of sliding mode control, and a parameter adaptive law is constructed to approximate the time-varying operating resistance coefficient.

Findings

The simulation results show that compared with proportional integral derivative (PID) control and ordinary sliding mode control, the control accuracy of the proposed algorithm in terms of speed is, respectively, improved by 25% and 75%. The error frequency and fluctuation range of the proposed algorithm are reduced in the position error control, the error value tends to 0, and the operation trend tends to be consistent. Therefore, the control method can improve the control accuracy of the system and prove that it has strong immunity.

Originality/value

The algorithm can reduce the influence of external interference in the actual operating environment, realize efficient and stable tracking of trains, and ensure the safety of train control.

Details

Railway Sciences, vol. 2 no. 1
Type: Research Article
ISSN: 2755-0907

Keywords

Available. Open Access. Open Access

Abstract

Details

Journal of Intelligent Manufacturing and Special Equipment, vol. 4 no. 1
Type: Research Article
ISSN: 2633-6596

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