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Multiagent model of rail-road intersection with connected vehicles

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EN
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The multiagent approach to modelling, traditionally dedicated for distributed systems, can be applied on any platform where there are more processes or control threads. The world of surface transport is a typical example of such a situation where high numbers of dynamic entities (agents) interacting with each other represent a complex problem to solve, analyse and visualise. The main focus of this paper is on functional description of the traffic control problem at the rail-road intersection. Unlike conventional approaches, this model assumes usage of modern (infrastructure-to-vehicle, vehicle-to-vehicle) communication technologies as an essential base of cooperative intelligent transportation systems. The authors use the development toolkit NetLogo, explaining step-by-step the key programming details, to get a comprehensive overview of the operation of the entire system through simple definitions of a number of simple cooperating agents. The introduced model is implementation free and shows newly offered functionalities on the principal level, while a minimum theory of collective intelligence hidden in the background is needed.
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  • University of Žilina, Faculty of Electrical Engineering and Information Technology, Univerzitná 1, 010 26 Žilina, Slovakia
  • University of Žilina, Faculty of Electrical Engineering and Information Technology, Univerzitná 1, 010 26 Žilina, Slovakia
  • University of Žilina, Faculty of Electrical Engineering and Information Technology, Univerzitná 1, 010 26 Žilina, Slovakia
Bibliografia
  • [1] Fayyaz M. A. B., Alexoulis-Chrysovergis A. C., Southgate M. J., Johnson Ch. (2020) “A review of the technological developments for interlocking at level crossing”. Proc IMechE Part F: J Rail and Rapid Transit 0(0), pp. 1-11, https://doi.org/10.1177/0954409720941726
  • [2] Ansari K. (2014) Development of an Inter-Vehicle Communications & Positioning Platform for Transport Safety Applications. PhD. Thesis, Queensland University of Technology, 222 p.
  • [3] Karkhanis P., Brand M. G. J. v. d. , Rajkarnikar S. (2018) Defining the C-ITS Reference Architecture. In IEEE Int. Conf. on Software Architecture Companion (ICSA-C), Seattle, WA, 2018, pp. 148-151, doi: 10.1109/ICSA-C.2018.00044
  • [4] IEEE Std 1570-2002 (2002) IEEE Standard for the Interface Between the Rail Subsystem and the Highway Subsystem at a Highway Rail Intersection. pp. i-65
  • [5] Wullems Ch., Wayth R., Galea V., Nelson-Furnell P. (2014) Invehicle railway level crossing warning systems: can intelligent transport systems deliver? In Schweiger, R. (Ed.) Proceedings of the 2014 Conf. on Railway Excellence: Rail Transport for Vital Economy. Railway Technical Society of Australasia (RTSA), Australia, pp. 1-12.
  • [6] Logan D. B., Young K., Allen T., Horberry T. (2017) Safety Benefits of Cooperative ITS and Automated Driving in Australia and New Zealand. Austroads, Research Report AP-R551-17, 51 p.
  • [7] Ameen H. A., Mahamad A. K., Zaidan B. B., Zaidan A. A., Saon S., Nor D. M., Malik R. Q., Kareem Z. H., Garfan S., Zaidan R. A., Mohammed A. (2019) "A Deep Review and Analysis of Data Exchange in Vehicle-to-Vehicle Communications Systems: Coherent Taxonomy, Challenges, Motivations, Recommendations, Substantial Analysis and Future Directions".
  • [8] IEEE Access, vol. 7, pp. 158349-158378, doi: 10.1109/ACCESS.2019.2949130
  • [9] Mahmood Z. (2020) Connected Vehicles in the IoV: Concepts, Technologies and Architectures. In Connected Vehicles in the Internet of Things. Springer International Publishing, pp. 3–18, https://doi.org/10.1007/978-3-030-36167-9_1
  • [10] Ahmed E., Gharavi, H. (2018) “Cooperative Vehicular Networking: A Survey. IEEE Trans. Intell. Transp. Syst. 19, pp. 996–1014. https://doi.org/10.1109/TITS.2018.2795381
  • [11] Riaz F., Niazi M. A. (2016) “ Road collisions avoidance using vehicular cyber‑physical systems: a taxonomy and review”. Complex Adapt Syst Model, vol. 4, no. 15, https://doi.org/10.1186/s40294-016-0025-8
  • [12] Papadimitratos P., La Fortelle A. D., Evenssen K., Brignolo R., Cosenza S. (2009) "Vehicular communication systems: Enabling technologies, applications, and future outlook on intelligent transportation". IEEE Communications Magazine, vol. 47, no. 11, pp. 84-95, November 2009, doi: 10.1109/MCOM.2009.5307471.
  • [13] Sheikh M. S., Liang J., Wang W. (2020) ” Security and Privacy in Vehicular Ad Hoc Network and Vehicle Cloud Computing: A Survey”. Wireless Communications and Mobile Computing, vol. 2020, Article ID 5129620, pp. 1-25, https://doi.org/10.1155/2020/5129620
  • [14] Wullems Ch., Wayth R., Galea V., Nelson-Furnell P. (2014) Invehicle railway level crossing warning systems: can intelligent transport systems deliver? In Conf. on Railway Excellence, Adelaide, 5 – 7 May 2014, 12 p.
  • [15] Parikh G., Duhn M., Hourdos J. (2019) How Locals Need to Prepare for the Future of V2V/V2I Connected Vehicles. Final research report MN/RC 2019-35, 135 p.
  • [16] Wang X., Li J., Zhang C., Qiu T. Z. (2019) ”Active Warning System for Highway-Rail Grade Crossings Using Connected Vehicle Technologies”. Journal of Advanced Transportation, vol. 2019, Article ID 3219387, 11 p., https://doi.org/10.1155/2019/3219387
  • [17] Taillandier V. (2018) Smart level crossing. In 16th Int. Conf. on Intelligent Transportation Systems Telecommunications (ITST), Lisboa, pp. 1-5, doi: 10.1109/ITST.2018.8566824.
  • [18] ConVex (2020) Connected Vehicles (V2X) of Tomorrow. Project Deliverables. https://convex-project.de/deliverables.html
  • [19] X2Rail-1 (2019) Start-up activities for Advanced Signalling and Automation Systems. Deliverable D7.1 Analysis of existing lines and economic models, 165 p.
  • [20] SAFER-LC (2019) SAFER Level Crossing by integrating and optimizing road-rail infrastructure management and design. Deliverable D4.4 – Results of the evaluation of the pilot tests , 163 p.
  • [21] MOVINGRAIL (2020) Deliverable D3.2: Advances in Automated Vehicle Technology and Applicability to Railways. 58 p.
  • [22] Derakhshan F., Yousefi S. (2019) “A review on the applications of multiagent systems in wireless sensor networks”. International Journal of Distributed Sensor Networks, Vol 15, No. 5, pp. 1-19, https://doi.org/10.1177/1550147719850767
  • [23] Sathiyaraj R., Bharathi A. (2020) “An efficient intelligent traffic light control and deviation system for traffic congestion avoidance using multi-agent system”. Transport, Vol. 35, Issue 3, pp. 327–335, https://doi.org/10.3846/transport.2019.11115
  • [24] Etzioni A., Etzioni O. (2016) "AI assisted ethics”. Ethics and Information Technology, Vol. 18, No. 2, pp. 149-156, https://doi.org/10.1007/s10676-016-9400-6
  • [25] Wilensky U., Rand W. (2015) An Introduction to Agent-Based Modeling. Modeling Natural, Social, and Engineered Complex Systems with NetLogo. Cambridge,MA. MIT Press, 482 p.
  • [26] Wilensky U. (1999) NetLogo. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL, http://ccl.northwestern.edu/netlogo/
  • [27] Head B., Rand W., Wilensky U. (2015) NetLogo Traffic Basic Adaptive Individuals model. Center for Connected Learning and Computer-Based Modeling, Northwestern Institute on Complex Systems, Northwestern University, Evanston, IL. http://ccl.northwestern.edu/netlogo/models/TrafficBasicAdaptiveIndividuals
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-45d2e649-326a-4ea7-b882-528709f49b82
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