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The article provides an analysis of the global trends in the field of city transport systems’ safety. Currently, the efforts to increase the proportion of trips made by foot or by non-motorized transport are being made. That is why the problem of ensuring safety of the most vulnerable road users is relevant. The statistics of traffic accidents with victims, as well as the factors that cause such accidents, is analysed. Simulation has shown that rational management can reduce the likelihood of road traffic accidents.
Czasopismo
Rocznik
Tom
Strony
97--109
Opis fizyczny
Bibliogr. 34 poz.
Twórcy
autor
- Kazan Federal University av. Syuyumbike, 10A, 423812, Naberezhnye Chelny, Russia
autor
- Kazan Federal University av. Syuyumbike, 10A, 423812, Naberezhnye Chelny, Russia
autor
- Kazan Federal University av. Syuyumbike, 10A, 423812, Naberezhnye Chelny, Russia
autor
- Kazan Federal University av. Syuyumbike, 10A, 423812, Naberezhnye Chelny, Russia
Bibliografia
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- 440 P. Available at: https://people.hofstra.edu/geotrans/index.html
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- 9. Zhili Liu et. al. Solving the Last Mile Problem: Ensure the Success of Public Bicycle System in Beijing. Procedia - Social and Behavioral Sciences. 8th International Conference on Traffic and Transportation Studies (ICTTS 2012). Vol. 43. 2012. P. 73-78.
- 10. Maria Bordagaray et.al. Modeling User Perception of Public Bicycle Services. Procedia – Social and Behavioral Sciences. Proceedings of EWGT2012 - 15th Meeting of the EURO Working Group on Transportation. Paris. 2012. Vol. 54. P. 1308-1316.
- 11. Jenn-Rong Lin et.al. A hub location inventory model for bicycle sharing system design: Formulation and solution. Comp. & Industrial. Engineering Intelligent Manufacturing Systems. 2013. Vol. 65. No. 1. P. 77-86.
- 12. National Highway Traffic Safety Administration. Traffic Safety Facts 2013. Data - Pedestrians. Washington, DC: US Department of Transportation, National Highway Traffic Safety Administration. 2015. Available at: http://www-nrd.nhtsa.dot.gov/Pubs/812124.pdf
- 13. Centers for Disease Control and Prevention, National Center for Injury Prevention and Control. Web-based Injury Statistics Query and Reporting System (WISQARS). Available at https://www.cdc.gov/injury/wisqars/
- 14. Department of Transportation (US), National Highway Traffic Safety Administration (NHTSA). Traffic Safety Facts 2013: Pedestrians. Available at: https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/811888
- 15. Пешеходные переходы. Часть 3. Оценка безопасности нерегулируемого пешеходного перехода [In Russian: The crosswalks. Part 3. Assessment of the safety of unregulated crosswalks]. Available at: http://transspot.ru/2014/04/14/peshexodnye-perexody-chast-3-ocenkabezopasnosti-nereguliruemogo-peshexodnogo-perexoda/
- 16. Your Driving Costs. How Much Does it Cost to Drive? 2016. Available at:http://exchange.aaa.com/wp-content/uploads/2015/04/Your-Driving-Costs-2015.pdf
- 17. Pedestrian crossings. Available at: http://www.driving-school-beckenham.co.uk/
- pedestriancrossings.html
- 18. Your guide to pedestrian crossings. Available at: https://www.trafford.gov.uk/residents/ leisureand-lifestyle/sport-and-leisure/walking/docs/a-guide-to-pedestrian-crossings.pdf
- 19. Olszewski, P. et al. Pedestrian fatality risk in accidents at unsignalized zebra crosswalks in Poland. Accident Analysis and Prevention. 2015. Vol. 84. P. 83-91.
- 20. Duduta, N. Understanding how intersection and signal design impact pedestrian behavior. 2014. Available at: http://thecityfix.com/blog/understanding-intersection-signal-design-impactpedestrian-behavior-cross-on-red-safety-nicolae-duduta-coby-joseph/
- 21. Brosseau, M. et al. The impact of waiting time and other factors on dangerous pedestrian crossings and violations at signalized intersections: A case study in Montreal. Transportation Research Part F. 2013. Vol. 21. P. 159-172.
- 22. Di Stasi, L.L. et al. The Influence of Traffic Signal Solutions on Self-Reported Road-Crossing Behavior. Spanish Journal of Psychology. 2014. Vol. 17(103). P. 1-7.
- 23. Alhajyaseen, W.K.M. & Asano, M. & Nakamura, H. Estimation of left-turning vehicle maneuvers for the assessment of pedestrian safety at intersections. IATSS Research. 2012. Vol. 36. P. 66-74.
- 24. Quistberg, D.A. et al. Multilevel models for evaluating the risk of pedestrian–motor vehicle collisions at intersections and mid-blocks. Accid Anal Prev. 2015. Vol. 84. P. 99-111.
- 25. Baibing, Li. A model of pedestrians’ intended waiting times for street crossings at signalized intersections. Transportation Research Part B. 2013. Vol. 51. P. 17-28.
- 26. Oikawa, S. et al. Relation between vehicle travel velocity and pedestrian injury risk in different age groups for the design of a pedestrian detection system. Safety Science. 2016. Vol. 82. P. 361-367.
- 27. Kadali, R. Evaluation of pedestrian mid-block road crossing behavior using artificial neural network. Journal of Traffic and Transportation Engineering (English Edition). 2014. Vol. 1(2). P. 111-119.
- 28. María Ángeles Onieva-García et al. Gender and age differences in components of traffic-related pedestrian death rates: exposure, risk of crash and fatality rate. Inj Epidemiol. 2016 Dec. Vol. 3(1). P. 14.
- 29. Zhu M.Inj et al. Why more male pedestrians die in vehicle-pedestrian collisions than female pedestrians: a decompositional analysis. Prev. 2013 Aug. Vol. 19(4). P. 27-31.
- 30. Facts and Stats. Available at: http://mdot.ms.gov/safetyeducation/parents/facts-and-stats/
- 31. Tom de Castella Does pressing the pedestrian crossing button actually do anything? BBC News Magazine. 4 September 2013.
- 32. Junchen Jin An intelligent control system for traffic lights with simulation-based evaluation. Control Engineering Practice. 2017. Vol. 58. P. 24-33.
- 33. Araghi, S. et al. A review on computational intelligence methods for controlling traffic signal timing. Expert Systems with Applications. 2015. Vol. 42. P. 1538-1550.
- 34. Collotta, M. et al. A novel approach for dynamic traffic lights management based on Wireless Sensor Networks and multiple fuzzy logic controllers. Expert Systems with Applications. 2015. Vol. 42. P. 5403-5415.
Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b7968d83-2ada-4abf-b4fe-f31c7df1bc8b