Artificial Force Fields for Multi-agent Simulations of Maritime Traffic: A Case Study of Chinese Waterway

Fangliang Xiao, Han Ligteringen, Coen Van Gulijk, Ben Ale

Research output: Contribution to journalConference article

7 Citations (Scopus)

Abstract

Collisions are an important factor in probabilistic risk modeling of waterway infrastructures. Especially in the design of bridges and terminals, the probability of ship collision is important. Researchers are looking for simulations that mimic ship behavior and estimate accident probabilities rather than using probabilistic accident models. AIS (Automatic Identification System) data forms a valuable basis for development of such simulation models. The data is a valuable asset for the validation and calibration of accident simulation models. Hence, a detailed analysis of AIS data is being undertaken as part of current research on ship collision simulations. Based on AIS data analysis, we developed a primary application of multi-agent simulation for ship traffic in the Yangtze River, which provides a realistic representation of the shipping traffic. Visual comparisons between AIS data and simulation data show comparable ship movements. More importantly, many different simulations show that the output of the simulation reproduces the behavior of real ships according to AIS data. Further down the road, ship failures will also be simulated, which results in a probability of ship accidents. Rather than the existing mathematical methods to estimate the risks of maritime accidents, multi-agent simulations provide a realistic ship behavior and all the details of ship movement. The model provides detailed information on how ships go wrong, and forms a useful tool in the design of waterways, design of bridges, and in traffic management.

LanguageEnglish
Pages807-814
Number of pages8
JournalProcedia Engineering
Volume45
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event8th International Symposium on Safety Science and Technology - Nanjing, Jiangsu, China
Duration: 23 Oct 201226 Oct 2012
Conference number: 8

Fingerprint

Ships
Identification (control systems)
Accidents
Freight transportation
Rivers
Calibration

Cite this

@article{fe332c8e89b145218639817ae93152e8,
title = "Artificial Force Fields for Multi-agent Simulations of Maritime Traffic: A Case Study of Chinese Waterway",
abstract = "Collisions are an important factor in probabilistic risk modeling of waterway infrastructures. Especially in the design of bridges and terminals, the probability of ship collision is important. Researchers are looking for simulations that mimic ship behavior and estimate accident probabilities rather than using probabilistic accident models. AIS (Automatic Identification System) data forms a valuable basis for development of such simulation models. The data is a valuable asset for the validation and calibration of accident simulation models. Hence, a detailed analysis of AIS data is being undertaken as part of current research on ship collision simulations. Based on AIS data analysis, we developed a primary application of multi-agent simulation for ship traffic in the Yangtze River, which provides a realistic representation of the shipping traffic. Visual comparisons between AIS data and simulation data show comparable ship movements. More importantly, many different simulations show that the output of the simulation reproduces the behavior of real ships according to AIS data. Further down the road, ship failures will also be simulated, which results in a probability of ship accidents. Rather than the existing mathematical methods to estimate the risks of maritime accidents, multi-agent simulations provide a realistic ship behavior and all the details of ship movement. The model provides detailed information on how ships go wrong, and forms a useful tool in the design of waterways, design of bridges, and in traffic management.",
keywords = "AIS, Muiti-agent Simulation, Safety, Shipping",
author = "Fangliang Xiao and Han Ligteringen and {Van Gulijk}, Coen and Ben Ale",
year = "2012",
doi = "10.1016/j.proeng.2012.08.243",
language = "English",
volume = "45",
pages = "807--814",
journal = "Procedia Engineering",
issn = "1877-7058",
publisher = "Elsevier BV",

}

Artificial Force Fields for Multi-agent Simulations of Maritime Traffic : A Case Study of Chinese Waterway. / Xiao, Fangliang; Ligteringen, Han; Van Gulijk, Coen; Ale, Ben.

In: Procedia Engineering, Vol. 45, 2012, p. 807-814.

Research output: Contribution to journalConference article

TY - JOUR

T1 - Artificial Force Fields for Multi-agent Simulations of Maritime Traffic

T2 - Procedia Engineering

AU - Xiao, Fangliang

AU - Ligteringen, Han

AU - Van Gulijk, Coen

AU - Ale, Ben

PY - 2012

Y1 - 2012

N2 - Collisions are an important factor in probabilistic risk modeling of waterway infrastructures. Especially in the design of bridges and terminals, the probability of ship collision is important. Researchers are looking for simulations that mimic ship behavior and estimate accident probabilities rather than using probabilistic accident models. AIS (Automatic Identification System) data forms a valuable basis for development of such simulation models. The data is a valuable asset for the validation and calibration of accident simulation models. Hence, a detailed analysis of AIS data is being undertaken as part of current research on ship collision simulations. Based on AIS data analysis, we developed a primary application of multi-agent simulation for ship traffic in the Yangtze River, which provides a realistic representation of the shipping traffic. Visual comparisons between AIS data and simulation data show comparable ship movements. More importantly, many different simulations show that the output of the simulation reproduces the behavior of real ships according to AIS data. Further down the road, ship failures will also be simulated, which results in a probability of ship accidents. Rather than the existing mathematical methods to estimate the risks of maritime accidents, multi-agent simulations provide a realistic ship behavior and all the details of ship movement. The model provides detailed information on how ships go wrong, and forms a useful tool in the design of waterways, design of bridges, and in traffic management.

AB - Collisions are an important factor in probabilistic risk modeling of waterway infrastructures. Especially in the design of bridges and terminals, the probability of ship collision is important. Researchers are looking for simulations that mimic ship behavior and estimate accident probabilities rather than using probabilistic accident models. AIS (Automatic Identification System) data forms a valuable basis for development of such simulation models. The data is a valuable asset for the validation and calibration of accident simulation models. Hence, a detailed analysis of AIS data is being undertaken as part of current research on ship collision simulations. Based on AIS data analysis, we developed a primary application of multi-agent simulation for ship traffic in the Yangtze River, which provides a realistic representation of the shipping traffic. Visual comparisons between AIS data and simulation data show comparable ship movements. More importantly, many different simulations show that the output of the simulation reproduces the behavior of real ships according to AIS data. Further down the road, ship failures will also be simulated, which results in a probability of ship accidents. Rather than the existing mathematical methods to estimate the risks of maritime accidents, multi-agent simulations provide a realistic ship behavior and all the details of ship movement. The model provides detailed information on how ships go wrong, and forms a useful tool in the design of waterways, design of bridges, and in traffic management.

KW - AIS

KW - Muiti-agent Simulation

KW - Safety

KW - Shipping

UR - http://www.scopus.com/inward/record.url?scp=84891667510&partnerID=8YFLogxK

U2 - 10.1016/j.proeng.2012.08.243

DO - 10.1016/j.proeng.2012.08.243

M3 - Conference article

VL - 45

SP - 807

EP - 814

JO - Procedia Engineering

JF - Procedia Engineering

SN - 1877-7058

ER -