Nautical traffic simulation with multi-agent system for safety

Xiao, Feipeng; Ligteringen, H.; Gulijk, Coen van; Ale, B.J.M.

doi:10.1109/itsc.2013.6728402

Cited by 17 publications

(9 citation statements)

References 18 publications

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“…On the first topic, [95] and [96] make a big use of data provided by the Automatic Identification System (AIS). This is an automatic tracking system used in the naval field, which includes information about identification number, speed, route and position of vessels.…”

Section: Waterway Traffic Systemmentioning

confidence: 99%

Literature Review Toward Decentralized Railway Traffic Management

Marcelli

Pellegrini

2021

IEEE Intell. Transport. Syst. Mag.

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This paper analyses the literature to identify ideas which may be applied to decentralized real-time railway traffic management. This system represents a new way for dealing with railway traffic perturbations in absence of a central decision maker. Specifically, we are interested in identifying techniques that may constitute suitable automatic mechanisms for the emergence of an effective system behaviour. In this literature review, we discuss the possibility of exploiting the existing research works on other transport modes. The analysis of these works makes it clear that real-time railway traffic management is very peculiar. Hence, we consider different approaches: hierarchical self organization, task allocation, reinforcement learning, consensus, auction and coopetition techniques. Some promising possibilities emerge, which we analyse proposing ideas for modelling decentralized real-time railway traffic management.

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Section: Waterway Traffic Systemmentioning

confidence: 99%

Literature Review Toward Decentralized Railway Traffic Management

Marcelli

Pellegrini

2021

IEEE Intell. Transport. Syst. Mag.

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“…Simulation-based algorithms are based on either cellular automata [ 33 , 34 ] or intelligent agents [ 35 , 36 ]. Each ship can be regarded as a definite particle, and the interaction between these particles is determined by the interaction of the vessels’ motions.…”

Section: Related Workmentioning

confidence: 99%

A Dynamic Risk Appraisal Model and Its Application in VTS Based on a Cellular Automata Simulation Prediction

Suo

Sun²,

Claramunt

et al. 2021

Sensors

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The successful implementation of Vessel Traffic Services (VTS) relies heavily on human decisions. With the increasing development of maritime traffic, there is an urgent need to provide a sound support for dynamic risk appraisals and decision support. This research introduces a cellular automata (CA) simulation-based modelling approach the objective of which is to analyze and evaluate real-time maritime traffic risks in port environments. The first component is the design of a CA model to monitor ships’ behavior and maritime fairway traffic. The second component is the refinement of the modelling approach by combining a cloud model with expert knowledge. The third component establishes a risk assessment model based on a fuzzy comprehensive evaluation. A typical scenario was experimentally implemented to validate the model’s efficiency and operationality.

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“…The model is divided into two main levels ( Figure 2): First, the low level which contains mostly processing and calculations. This simulates the real transportation network ü ü ü SUMO 3,4 ü ü ü VSimRTI 5 ü ü ü Al-Dmour 6 ü ü ü Araujo et al 7 ü ü ü Cajias et al 8 ü ü ü Certicky et al 9 ü ü ü Frick 10 ü ü ü Grether and Nagel 11 ü ü ü Handford and Rogers 12 ü ü ü Holmgren et al 13 ü ü ü Mounir et al 14 ü ü ü Ramos et al 16 ü ü ü Taha and Ibrahim 17 ü ü ü Xiao et al 18 ü ü ü Xu and Tan 19 ü ü ü Zacharewicz et al 20 ü ü ü Zhang et al 21 ü ü ü Vietnamese circulation situation -ü ü ü ü throughout the day and then calculates the level of congestion in the streets of the network. This data could be saved into storage and then displayed at a later time.…”

Section: Agent-based Model For Simulation Of Traffic Network Statusmentioning

confidence: 99%

An agent-based model for simulation of traffic network status: Applied to Hanoi city

Nguyễn

2016

SIMULATION

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In recent times there have been many agent-based simulation models proposed for transportation network simulation. Intuitively, these models are applicable for the transportation simulation of modern cities in developed countries where the transportation network is very well organized: Roads are separated into lanes; most transportation occurs using vehicles; and almost all drivers respect the circulation rule. However, these models are not suitable for developing countries where the transportation network is unorganized. The reasons for this are as follows: (1) there is no lane on the road; (2) most vehicles are motorbikes; and (3) not many drivers respect the circulation rule. This paper introduces an agent-based model for transportation network simulation in which each form of transport is modeled as an agent exhibiting full features of unorganized circulation behavior. The model is designed for a large scale and instead of displaying the circulation for all individual modes of transport, the model displays only the status of the traffic network. The simulation of circulation is therefore considered as a background process. The simulation is launched and the results are obtained before being displayed. This model is applied to the traffic network of Hanoi to analyze the hot or bottle neck points on the transportation network during rush hours in the city.

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Nautical traffic simulation with multi-agent system for safety

Cited by 17 publications

References 18 publications

Literature Review Toward Decentralized Railway Traffic Management

Literature Review Toward Decentralized Railway Traffic Management

A Dynamic Risk Appraisal Model and Its Application in VTS Based on a Cellular Automata Simulation Prediction

An agent-based model for simulation of traffic network status: Applied to Hanoi city

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