Cellular automaton traffic flow model with vehicle type and number of persons

• Autorzy: Miklóšik I. , Spalek J. , Hruboš M. , Přibyl P.
• Języki publikacji: EN

Abstrakty

EN

The paper deals with microscopic modeling of the traffic flow using cellular automaton in the Tunnel Simulator based on PLC. Model with lane changing logic is implemented in the SCADA visualization screen of the tunnel with unidirectional two-lane traffic. Tunnel Simulator is able to simulate unexpected events in the road tunnel such as fire, so vehicle type is also included in the traffic model to specify the heat release rate of the fire for car, van, bus and truck fi re scenario. Number of persons in the vehicles and location of the persons in the tunnel are planned to be used as the input for the model for evacuation time estimation.

Słowa kluczowe

EN

PLC; tunnel; simulation; microscopic traffic flow model; cellular automation

PL

PLC; tunel; symulacja; mikroskopowy model przepływu ruchu; automat komórkowy

• Wydawca: Polskie Stowarzyszenie Telematyki Transportu
• Czasopismo: Archives of Transport System Telematics
• Rocznik: 2015
• Tom: Vol. 8, iss. 1
• Strony: 14--18
• Opis fizyczny: Bibliogr. 11 poz.

Twórcy

autor

Miklóšik I.

• University of Žilina, Faculty of Electrical Engineering, 010 26 Žilina, Slovakia

autor

Spalek J.

• University of Žilina, Faculty of Electrical Engineering, 010 26 Žilina, Slovakia

autor

Hruboš M.

• University of Žilina, Faculty of Electrical Engineering, 010 26 Žilina, Slovakia

autor

Přibyl P.

• University of Žilina, Faculty of Electrical Engineering, 010 26 Žilina, Slovakia

Bibliografia

• [1] KOPÁSEK, J.: SW pre simuláciu technologického vybavenia tunelov, (SW for simulation of road tunnel technology equipment functionality), User Manual., pp.68-73, Eltodo EG, (2013)
• [2] WU, N., BRILON, W.: Cellular Automata for Highway Traffic Flow Simulation, Institute for Transportation and Traffic Engineering, Ruhr-University Bochum
• [3] LAN, L., et al.: Motorbike’s Moving Behavior in Mixed Traffic: Particle-Hoping Model with Cellular Automata, Institute of Traffic and Transportation National Chiao Tung University
• [4] NAGEL, K., SCHRECKENBERG, M.: A Cellular Automaton Model for Freeway Traffic, Journal de Physique I, (1992)
• [5] NAGEL, K., et al.: Two-lane Traffic Rules for Cellular Automata: A Systematic approach, Physical Review E, (1998)
• [6] HAN, Y.-S., KO, S.-K.: A Cellular Automaton Model for Car Traffic with a Form-One-Lane-Rule, Department of Computer Science, Yonsei University
• [7] GE Fanuc Automation: Cimplicity HMI, Basic Control Engine, Language reference Manual, GFK-1283G (2001)
• [8] TP02/2011, Analýza rizík pre slovenské tunely (Risk analysis for Slovak tunnels), Ministerstvo dopravy a regionálneho rozvoja SR, (2011)
• [9] BENJAMIN, S.C., et al.: Cellular automata models of traffic flow along a highway containing a junction. Journal of Physics A: Mathematical and General 29, (1996)
• [10] CLARRIDGE, A., SALOMAA, K.: A Cellular Automaton Model for Car Traffic with a Slow-To-Stop Rule, Queen’s University, Kingston
• [11] PERSSON, M.: Quantitative Risk Analysis Procedure for the Fire Evacuation of a Road Tunnel, Department of Fire Safety Engineering, Lund University, (2002)