BazEkon - The Main Library of the Cracow University of Economics

BazEkon home page

Main menu

Barczak Arkadiusz (Politechnika Poznańska)
Przewidywanie jako metoda zapobiegania stanom zagrożeń komunikacyjnych
Forecasting as a Method for Preventing Emergency Situations in Transportation
Zeszyty Naukowe Uniwersytetu Szczecińskiego. Problemy Transportu i Logistyki, 2012, nr 19, s. 7-18, bibliogr. 24 poz.
Issue title
Europejska przestrzeń transportu. Uwarunkowania mobilności
Komunikacja miejska, Wypadki komunikacyjne
Municipal transport, Road accidents
W referacie przyjęto tezę, że zagrożenia nie powoduje pojedyńczy uczestnik ruchu drogowego, lecz zależności między elementami systemu komunikacyjnego, a przede wszystkim relacje między kierującymi pojazdami. Celem referatu jest rozwinięcie przyjętej tezy na podstawie analizy literatury poprzez: - wskazanie na ograniczone możliwości wykorzystania klasycznych metod prognozowania w zapobieganiu niebezpiecznym stanom komunikacyjnym, - podkreślenie konieczności opracowania modelu działania kierowcy (i innych użytkowników) z uwzględnieniem jego cech psychologicznych i aspektów socjalnych, - pokazanie możliwości i zalet zastosowania formalizmu teorii gier jako modelu badania relacji między uczestnikami ruchu drogowego, w projektowaniu procesów zapobiegania stanom zagrożeń komunikacyjnych.(fragment tekstu)

In this paper, the postulate was validated that it is not just one person responsible for the traffic accident but the interdependence between all elements of the traffic process, with the emphasis placed on the drivers interactions. Stochastic interrelations were modeled using Bayesian Belief Networks. The possibility of application of the game theory as a tool for modeling interactions between drivers was appointed and the advantages obtained in the domain of the road safety management were indicated. The need for the development of the model comprising drivers interactions not only in the physical (vehicles) dimension but also in the psychological and social dimensions was expressed. This paper is a first step towards the application of the game theory in the research of the safety management in the road transportation, especially taking account of cases where the available information is partially missing and uncertain.(author's abstract)
Szczecin University Main Library
Full text
  1. Alvarez I., Poznyak A., Game Theory Applied to Urban Traffic Control Problem, International Conference on Control, Automation and Systems 2010, Gyeonggi-do, Korea.
  2. Beullens K., Roa K., Van den Bulck J., Excellent Gamer, Excellent Driver? The Impact of Adolescents' Video Game Playing on Driving Behavior: A Two-wave Panel Study, "Accident Analysis and Prevention" 2011, No. 43.
  3. Björklund G.M., Driver Irritation and Aggressive Behaviour, "Accident Analysis and Prevention" 2008, No. 40.
  4. Gregoriades A., Sutcliffe A., Papageorgiou G., Louvieris P., Human-centered Safety Analysis of Prospective Roads Designs, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans 2010, Vol. 40, No. 2.
  5. Gstalter H., Fastenmeier W., Reliability of Drivers in Urban Intersection, "Accident Analysis and Prevention" 2010, No. 42.
  6. Hermans E., Van den Bossche F., Wets G., Uncertainty Assessment of the Road Safety Index, "Reliability Engineering and System Safety" 2009, No. 94.
  7. Kaber D.B., Liang Y., Zhang Y., Rogers M.L., Gangakhedkar Sh., Driver Performance Effects of Simultaneous Visual and Cognitive Distraction and Adaptation Behavior, Transportation Research Part F 2011, 15.
  8. Kita H., A Merging-giveway Interaction Model of Cars in a Merging Section: a Game Theoretic Analysis, Transportation Research Part A 1999.
  9. Lan B., Persaud B., Lyon C., Bhim R., Validation of a Full Bayes Methodology for Observational Before-after Road Safety Studies and Application to Evaluation of Rural Signal Conversions, "Accident Analysis and Prevention" 2009, No. 41.
  10. Linglong T., Xiaohua Z., Dunli H., Yanzhang Sh., Ren W., A Study if Single Intersection Traffic Signal Control Based on Two-player Cooperation Game Model, 2010 WASE International Conference on Information Engineering, Xi'an, China.
  11. Maag Ch., Mark Ch., Krüger H.-P., Development of a Cognitive-Emotional Model for Driver Behavior, KES-AMSTA 2010, Part II, LNAI 6071.
  12. Miwa K., Terai H., Impact of Two Types of Partner, Perceived or Actual, in Human-human and Human-agent Interaction, "Computers in Human Behavior" 2012, No. 28.
  13. Muhrer E., Vollrath M., The Effect of Visual and Cognitive Distraction on Driver's Anticipation in a Simulated Car Following Scenario, Transportation Research Part F 2011, 14.
  14. Pei Y., Xu H., The Control Mechanism of Lane Changing in Jam Condition, Proceedings of the 6th World Congress on Intelligent Control and Automation 2006, Dalian, China.
  15. Pei Y., Yang G., Application Research on Machine Learning and Statistical Forecasting Algorithm in Traffic Information Forecasting System, 2009 Ninth International Conference on Hybrid Intelligent Systems, Shenyang, China.
  16. Simoncic M., A Bayesian Network Model of Two-Car Accidents, "Journal of Transportation and Statistics" 2004, Vol. 7, No. 2/3.
  17. Sommer M., Herle M., Häusler J., Risser R., Schützhofer B., Chaloupka Ch., Cognitive and Personality Determinants of Fitness to Drive, Transportation Research Part F 2008, 11.
  18. Szücs B., Sallai G., Finding Equilibrium in Transport Networks by Simulation and Investigation of Behaviors, World Academy of Scence, "Engineering and Technology" 2010, No. 65.
  19. Van Rooy D.L., Rotton J., Burns T.M., Convergent, Discriminant and Predictive Validity of Aggressive Driving Inventories: They Drive as They Live, "Aggressive Behavior" 2006, Vol. 32.
  20. Vlahogianni E.I., Golias J.C., Carlaftis M.G., Short-term Traffic Forecasting: Overview of Objectives and Methods, "Transport Reviews" 2004, Vol. 24, No. 5.
  21. Yang G., Lin Y., Bhattacharya P., A Driver Fatigue Recognition Model Based on Information Fusion and Dynamic Bayesian Network, "Information Science" 2010, No. 180.
  22. Zhang H., Su Y., Peng L., Yao D., A Review of Game Theory Applications in Transportation Analysis, Internation Conference on Computer and Information Application (ICCIA 2010).
  23. Zheng X., Liu M., An Overview of Accident Forecasting Methodologies, "Journal of Loss Prevention in the Process Industries" 2009, No. 22.
  24. Zhu J., Zheng H., A Real Time Neural Network Learning Approach for Traffic Forecasting, 2011 International Conference on Transportation, Mechanical, and Electrical Engineering (TMEE), Changchun, China.
Cited by
Share on Facebook Share on Twitter Share on Google+ Share on Pinterest Share on LinkedIn Wyślij znajomemu