Quantum road traffic model for ambulance travel time estimation

• Autorzy: Bernas M. , Wisniewska J.
• Języki publikacji: EN

Abstrakty

EN

Efficient management of ambulance utilisation is a vital issue for life saving. Knowledge of the amount of time needed for an ambulance to get to the hospital and when it will be available for a new task, can be estimated using modern Intelligent Transport Systems. Their main feature is an ability to simulate the state of traffic not only in long term, but also the real time events like accidents or high congestion, using microscopic models. The paper introduces usage of Quantum Computing paradigm to propose a quantum model of road traffic, which can track the state of traffic and estimate the travel time of vehicles. Model, if run on quantum computer can simulate the traffic in vast areas in real time. Proposed model was verified against the cellular automata model. Finally, application of quantum microscopic traffic models for ambulance vehicles was taken into consideration.

Słowa kluczowe

EN

ambulance travel time prediction; quantum processing; traffic modelling

PL

przewidywany czas jazdy pogotowia; przetwarzanie informacji kwantowej; modelowanie ruchu drogowego

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2013
• Tom: Vol. 22
• Strony: 257--264
• Opis fizyczny: Bibliogr. 17 poz., rys.

Twórcy

autor

Bernas M.

• Institute of Informatics, University of Silesia, Bedzinska 39, 41-200 Sosnowiec, Poland.

autor

Wisniewska J.

• Military University of Technology, Kaliskiego 2, 00-908 Warsaw, Poland

Bibliografia

• [1] BERNAŚ M., Objects detection and tracking in highly congested trac using compressed video sequences, ICCVG 2012, Lecture Notes in Computer Science, vol. 7594, pp. 296-303.
• [2] BERNAŚ M., VANETs as a part of weather warning systems, CCIS Computer Network,2012, Vol. 291, pp. 459-466.
• [3] BHAKTHAVATHSALAM R., NAYAK S., Operational inferences on VANETs in 802.16e and 802.11p with improved performance by Congestion Alert, Consumer Communications and Networking Conference (CCNC),2011, pp. 467-471.
• [4] BOUKERCHE A., OLIVEIRA H., NAKAMURA E., LOUREIRO A., Vehicular Ad Hoc Networks: A New Challenge for Localization-Based Systems, Journal of Computer Communications, 2008, Vol. 31, Issue 12, pp. 2838-2849.
• [5] FESTAG A., Global standardisation of network and transport protocols for ITS with 5 GHz radio technologies, Proceedings of the ETSI TC ITS workshop, Sophia Antipolis, 2009, pp. 197-212.
• [6] HARSCH C., FESTAG A., PAPADIMITRATOS P., Secure position-based routing for VANETs. Proceedings of IEEE66th vehicular technology conference (VTC-2007), 2007, pp. 26-30.
• [7] JAYABALAN E., KRISHNAN A., Detection and Tracking of Moving Object in Compressed Videos. Communications in Computer and Information Science, 2011, Vol. 142, part 1, pp. 39-43.
• [8] KYUNGNAM K., HARWOOD D., DAVIS L., Real-time foreground-background segmentation using codebook model. Real-Time Imaging Journal, 2005, Vol. 11, Issue 3, pp. 7-21.
• [9] LO S.C., HSUC. H., Cellular automata simulation for mixed manual and automated control traffic, Mathematical and Computer Modelling, 2010, vol. 51, pp. 1000–1007.
• [10] MAERIVOET S., DE MOOR B., Cellular automata models of road traffic. Physics Reports 419, 2005, pp. 1-64.
• [11] PŁACZEK B., A real time vehicles detection algorithm for vision based sensors, ICCVG 2010, Part II. Lecture Notes in Computer Science, 2010, vol. 6375, pp. 211-218.
• [12] PŁACZEK B., Fuzzy cellular model for on-line traffic simulation, Lecture Notes in Computer Science, 2010, vol. 6068, pp. 553-560.
• [13] SCHADSCHNEIDER A., CHOWDHURYD E., A new cellular automata model for city traffic, Traffic and Granular Flow ’99: Social, Traffic, and Granular Dynamics, Springer, Berlin, 2000.
• [14] XIAO-HUI B., XIAO-FAN X., CHE-MING L., ZHEN-SHENG Y., CHAO-YANG L., JIAN-WEI P.: Quantum teleportation between remote atomic-ensemblequantum memories, arXiv:1211.2892v1 , 2012.
• [15] YILMAZ A., JAVED O., SHAH M., Object Tracking: A Survey. ACM Computing Surveys, 2008, Vol. 38, no. 4, art. 13.
• [16] WIŚNIEWSKA J., Fast method of calculating unitary matrix for quantum decision algorithm, Polish Journal Of Environmental Studies, 2009, Vol. 18, pp. 381-385.
• [17] WIŚNIEWSKA J., Quantum Computer Network Model for a Decision Making Algorithm, Communications In Computer And Information Science, 2012, Vol. 291, pp. 73-81.