Nautical traffic simulation with multi-agent system for safety

This paper shows a new simulation approach for maritime safety assessment. It describes a nautical traffic simulation model for straight waterways based on multi-agent system. The behavior of the ships is simulated with an autonomous dynamic ship maneuvering model, taking into account the movements in different local circumstances. AIS data (Automatic Identification System) is used to calibrate the model and for model verification. The ODD protocol (Overview, Design concepts, Details) is used as a framework for the detailed description of the model. This paper demonstrates that collision avoidance in different encountering situations with different local environmental conditions is possible for traffic simulation in the future.

[1]  A. Harati-Mokhtari,et al.  Automatic Identification System (AIS): Data Reliability and Human Error Implications , 2007, Journal of Navigation.

[2]  Craig W. Reynolds Steering Behaviors For Autonomous Characters , 1999 .

[3]  Kazuhiko Hasegawa,et al.  Feasibility Study on Intelligent Marine Traffic System 1 , 2000 .

[4]  Michael J. North,et al.  Tutorial on agent-based modelling and simulation , 2005, Proceedings of the Winter Simulation Conference, 2005..

[5]  Abdellatif Benabdelhafid,et al.  Assessing Safety of Ferry Routes by Ship Handling Model through AHP and Fuzzy Approach , 2012 .

[6]  Floris Goerlandt,et al.  Traffic simulation based ship collision probability modeling , 2011, Reliab. Eng. Syst. Saf..

[7]  Coen Van Gulijk,et al.  Artificial Force Fields for Multi-agent Simulations of Maritime Traffic: A Case Study of Chinese Waterway , 2012 .

[8]  M Lacki Neuroevolutionary Ship Handling System in a Windy Environment , 2012 .

[9]  Jason R. W. Merrick,et al.  A Bayesian paired comparison approach for relative accident probability assessment with covariate information , 2006, Eur. J. Oper. Res..

[10]  Charles M. Macal,et al.  Tutorial on agent-based modelling and simulation , 2005, Proceedings of the Winter Simulation Conference, 2005..

[11]  Shi Chaojian Application of APF method in ship’s autonomous collision avoidance , 2007 .

[12]  I M Friedland BRIDGE DESIGN SPECIFICATIONS FOR THE FUTURE , 1992 .

[13]  Mark H. Overmars,et al.  A Predictive Collision Avoidance Model for Pedestrian Simulation , 2009, MIG.

[14]  Marine Board Shiphandling Simulation: Application to Waterway Design , 1992 .

[15]  P. V. Davis,et al.  A Computer Simulation of Marine Traffic Using Domains and Arenas , 1980, Journal of Navigation.

[16]  J. Gareth Polhill,et al.  The ODD protocol: A review and first update , 2010, Ecological Modelling.

[17]  Birgit Müller,et al.  A standard protocol for describing individual-based and agent-based models , 2006 .

[18]  Song Li,et al.  Dynamic Data Driven Multi-agent Simulation in Maritime Traffic , 2009, 2009 International Conference on Computer and Automation Engineering.

[19]  Klaus D. McDonald-Maier,et al.  Autonomous Ship Collision Avoidance Navigation Concepts, Technologies and Techniques , 2007, Journal of Navigation.

[20]  P. T. Pedersen,et al.  Collision and Grounding , 2006 .

[21]  Steven L. Lytinen,et al.  Agent-based Simulation Platforms: Review and Development Recommendations , 2006, Simul..

[22]  Qiang Meng,et al.  An Overview of Maritime Waterway Quantitative Risk Assessment Models , 2012, Risk analysis : an official publication of the Society for Risk Analysis.

[23]  U. Netlogo Wilensky,et al.  Center for Connected Learning and Computer-Based Modeling , 1999 .

[24]  Yohei Murakami,et al.  Multi-agent simulation for crisis management , 2002, Proceedings. IEEE Workshop on Knowledge Media Networking.

[25]  Jinling Li,et al.  Single-lane traffic simulation with multi-agent system , 2005, Proceedings. 2005 IEEE Intelligent Transportation Systems, 2005..

[26]  Hayato Kondo,et al.  A Computerized Navigation Support for Maneuvering Clustered Ship Groups in Close Proximity , 2013 .