Passenger Terminal Safety: Simulation Modelling as Decision Support Tool

Yatskiv, Irina; Savrasovs, Mihails; Gromule, Vaira; Zemljanikins, Valerijs

doi:10.1016/j.proeng.2016.01.068

Cited by 12 publications

(4 citation statements)

References 5 publications

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“…Some of the ABMS application areas can be found in cases of vehicles and pedestrians in traffic situations, actors in financial markets, consumer behavior, humans and machines on battlefields, people in crowds, animals and/or plants in eco-systems, and artificial creatures in computer games, among others [29]. More recent research has been conducted on completely new topics, such as modeling the nuclear fuel cycle [35], national culture and innovation diffusion [36], consensus analysis [37], subway station evacuation [38] and passenger terminal safety [39]. More examples can be found in [40].…”

Section: Agent-basedmentioning

confidence: 99%

Simulation Model to Estimate Emotions in Collaborative Networks

Ferrada

Camarinha-Matos

2019

Applied Sciences

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In recent years, the research on collaborative networks has been pointing to the need to put more emphasis on the social interactions of its participants, along with technical features, as a potential direction to finding solutions to prevent failures and potential conflicts. In this context, a modelling framework called Collaborative EMOtion modelling framework (C-EMO), conceived for appraising the collaborative network emotions that might be present in a collaborative networked environment, is presented, and an implementation approach, based on system dynamics and agent-based simulation modelling techniques, for estimating both the collaborative network emotional state and each member’s emotions, is described. The work is divided in two parts: the first considers the design of the models and the second comprises the transformation of these conceptual models into a computer model, providing the proposed simulation model. In order to validate the simulation model, and taking into consideration the novelty of the research area, experiments are undertaken in different scenarios representing several aspects of a collaborative environment and a sensitivity analysis and discussion of the results is performed.

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Section: Agent-basedmentioning

confidence: 99%

Simulation Model to Estimate Emotions in Collaborative Networks

Ferrada

Camarinha-Matos

2019

Applied Sciences

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“…Therefore, there is an urgent need for an efficient departure ship scheduling plan during a reopening day to allow vessels to leave the terminal quickly. As is known, the existing research on passenger RoRo terminals mainly involves four categories: ship stowage [1,2], security assessment [3,4], layout planning [5], and capacity analysis [6,7]. Studies on passenger RoRo ship scheduling are rare.…”

Section: Introductionmentioning

confidence: 99%

Departure Vessel Scheduling Optimization Considering Traffic Restrictions in Turning Basin: A Case Study for Xuwen Terminal

Jia

2023

JMSE

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As the largest modern passenger Roll-on Roll-off (RoRo) terminal around the world, the berthing operation of Xuwen terminal is occasionally suspended due to bad weather, such as strong wind or thick fog. During the suspension, the number of stranded passengers and vehicles increasingly accumulates. As soon as the weather permits, the growth exerts great pressure, especially on large-scale vessels leaving the port, whose inefficiency may cause a loss of access to the terminal for inbound ships and chaos for port management. The focus of this study is to improve the efficiency of departure scheduling by optimizing traffic rules in the harbor basin. A mathematical optimization model is formulated for minimizing the total scheduling time, and then an adaptive simulated annealing (ASA) algorithm is proposed to solve the model. A specific decoding rule is introduced, referring to the characteristics of the mentioned model. After employing the operation data of the Xuwen terminal, a numerical experiment showed that the proposed scheduling method outperformed the first-come, first-served (FCFS) strategy and an improved ant colony algorithm (ACA). Moreover, the constructed simulation model of the terminal manifested the validity of the optimal solution.

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“…However, there are few researches focusing on passenger service quality evaluation in the research field of the Ro-Pax terminal. For example, Jackiva et al 12 applied simulation technology to optimize the reconstruction of the passenger terminal based on quantitative values of passenger density from the perspective of safety; Yalcin and Suner 13 recommended an integrated model to calculate the pollutant emission during the unloading of ferry vessels to evaluate the influence on passenger health. Meanwhile, more researches on passenger service quality mainly focus on air transport, rail transport, and public bus transport from the perspective of passenger safety, health, and comfort.…”

Section: Introductionmentioning

confidence: 99%

Simulation-based Fuzzy Multiple Attribute Decision Making framework for an optimal apron layout for aRoll-on/Roll-off/Passenger terminal considering passenger service quality

Tang

Zhao²,

Zhang

et al. 2021

SIMULATION

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The apron of the Roll-on/Roll-off/Passenger (Ro-Pax) terminal is an accident-prone zone with high risk of traffic congestion and vehicle exhaust pollution in the peak season, which brings a bad experience to passengers and even endangers passengers’ health. This study aims to improve the passenger service quality in the peak season by rezoning the Ro-Pax terminal apron and its traffic organization. Thus, we establish a simulation-based Fuzzy Multiple Attribute Decision Making framework to evaluate the passenger service quality and distinguish an optimal layout of the terminal apron. This framework introduces three evaluation indicators (safety, convenience, and comfort and health) and 11 performance indexes to define the passenger service quality, and the values of these indexes are derived from an agent-based simulation model for the Ro-Pax terminal apron operation. Finally, an example of the proposed framework is presented in a case study to show how to select an improved layout of the Ro-Pax terminal apron considering passenger service quality. The result confirms the proposed framework is an effective tool to solve rezoning the Ro-Pax terminal apron and the proposed methodology can also be used to cope with similar problems.

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Passenger Terminal Safety: Simulation Modelling as Decision Support Tool

Cited by 12 publications

References 5 publications

Simulation Model to Estimate Emotions in Collaborative Networks

Simulation Model to Estimate Emotions in Collaborative Networks

Departure Vessel Scheduling Optimization Considering Traffic Restrictions in Turning Basin: A Case Study for Xuwen Terminal

Simulation-based Fuzzy Multiple Attribute Decision Making framework for an optimal apron layout for aRoll-on/Roll-off/Passenger terminal considering passenger service quality

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