Mechanizmy działania systemów ITS i ich wpływ na BRD

• Autorzy: Szmidt E.

Warianty tytułu

EN

Mechanisms of the ITS systems’ operation and their impact on the road safety

• Języki publikacji: PL

Abstrakty

PL

W artykule podano najważniejsze definicje oraz mechanizmy działania dotyczące systemów ITS (Intelligent Transportation Systems). Następnie przeanalizowano wpływ ich zastosowania na bezpieczeństwo ruchu drogowego. Wnioski przedstawiono w postaci podsumowania.

EN

The article presents the most important definitions and mechanisms of action for the ITS (Intelligent Transportation Systems). Then analyzed was the impact of their use on the road safety. The conclusions were presented in the form of a summary.

Słowa kluczowe

PL

system ITS; Intelligent Transportation Systems; bezpieczeństwo; transport; ruch drogowy

EN

Intelligent Transportation Systems; ITS; road safety; transport

• Wydawca: Wydawnictwo ITS
• Czasopismo: Transport Samochodowy
• Rocznik: 2016
• Tom: z. 4
• Strony: 83--102
• Opis fizyczny: Bibliogr. 78 poz.

Twórcy

autor

Szmidt E.

• Instytut Transportu Samochodowego

Bibliografia

• [1] Telematyka Transportu, http://www.it.pw.edu.pl/twt/loader.php?page=telematyka, 24 marzec 2008.
• [2] http://www.itspolska.pl
• [3] Koźlak A., „Inteligentne systemy transportowe jako instrument poprawy efektywności transportu”, Uniwersytet Gdański, Wydział Ekonomiczny, Logistyka (2008) 2.
• [4] Janusova L., Cicmancova S., „Improving Safety of Transportation by Using Intelligent Transport Systems”, Procedia Engineering 134 (2016) str. 14-22.
• [5] eSafetySupport, 2009. eSafety Interactive Car. Retrieved December 29, 2009 from http://www.esafetysupport.org/download/interactive car/light.html.
• [6] CEC, 2006. Communication from the Commission to the Council, the European Parliament, the European Economic and Social Committee and the Committee of the Regions on the Intelligent Car Initiative “Raising Awareness of ICT for Smarter, Safer and Cleaner Vehicles”. Commission of the European Communities, Brussels (15.2.2006, COM(2006) 59 final).
• [7] CEC, 2003. Communication from the Commission to the Council and the European Parliament on Information and Communications Technologies for Safe and Intelligent Vehicles. Commission of the European Communities, Brussels (15.9.2003, COM(2003) 542 final).
• [8] Hartman, K., Strasser, J., 2005. Saving lives through advanced vehicle safety technology. In: Intelligent Vehicle Initiative Final Report FHWA-JPO-05-057. U.S. Department of Transportation, Federal Highway Administration.
• [9] Schulze, M. 2006. International Initiatives. Europe in Comparison to USA and Japan. Daimler Chrysler. February 28, 2006. Retrieved 11 June 2009 from http://ec.europa.eu/information society/activities/esafety/doc/esafety 2006/ spectrum 28feb2006/11 spectrum workshop 060228.pdf.
• [10] eSafety, 2008. eSafety Effects Database. Retrieved April 15, 2008 from http://www.esafetyeffects-database.org.
• [11] U.S. DOT, 2008. ITS evaluation homepage of the United States Department of Transportation., http://www.its.dot.gov/evaluation.
• [12] TEMPO, 2008. Evaluation Library of the Euroregional Evaluation Expert Group., http://tempo.austriatech.org.
• [13] Perrett, K.E., Stevens, A., 1996. Review of the Potential Benefits of Road Transport Telematics. TRL Report 220. Transport Research Laboratory, Crowthorne
• [14] ETSC, 1999. Intelligent Transportation Systems and Road Safety. European Traffic Safety Council, Brussels.
• [15] Öörni, R., “Eräiden joukko- ja tieliikenteen telematiikkasovellusten kannattavuus Suomen oloissa”. “Economic feasibility of some public transport and road ITS applications in Finnish conditions”. FITS Publications 35/2004, Ministry of Transport and Communications Finland, Helsinki.
• [16] Kreiss, J.-P., Schüler, L., Langwieder, K., 2005. The Effectiveness of Primary Safety Features in Passenger Cars in Germany. ESV-paper No. 05-0145. 19th ESV Conference, Washington, DC.
• [17] Vaa, T., Penttinen, M., Spyropoulou, I., 2007. Intelligent transport systems and effects on road traffic accidents - state of the art. IET Intelligent Transport Syst. 1 (June (2)), 81-88.
• [18] Linder, A., Kircher, A., Vadeby, A., Nygårdhs, S., 2007. Intelligent Transport Systems (ITS) in Passenger Cars and Methods for Assessment of Traffic Safety Impact. VTI rapport 604A. Swedish National Road and Transport Research Institute, Linköping.
• [19] eSafety Forum, 2007a. Final Report and Recommendations of the Implementation Road Map Working Group, eSafety Forum. December 20, 2007.
• [20] Spyropoulou, I., Penttinen, M., Karlaftis, M., Vaa, T., Golias, J., 2008. ITS solutions and accident risks: prospective and limitations. Transport. Rev.: Transnatl. Transdiscipl. J. 28 (5), 549-572.
• [21] Elvik, R., Vaa, T., 2004. The Handbook of Road Safety Measures. Elsevier Science, Oxford.
• [22] Hauer, E., 1997. Observational Before-After Studies in Road Safety. Estimating the Effect of Highway and Traffic Engineering Measures on Road Safety. Pergamon.
• [23] Häkkinen, S., 1978. Tapaturmateoriat ja niiden kehittäminen. Accident Theories and Development of Theories. Report No. 36/1978, Helsinki University of Technology, Laboratories of Industrial Management and Industrial Psychology, Otaniemi.
• [24] Luoma, J., 2007. Need for new paradigm in road safety? In: Keynote Paper for the 17th Nordic Research Conference on Safety, NOFS 2007, Tampere, Finland, June 13-15, 2007.
• [25] Little, I.M.D., 2002. Ethics, Economics, and Politics. Oxford Scholarship Online Monographs, October 2002.
• [26] Cacciabue, P.C., Saad, F., 2008. Behavioural adaptations to driver support systems: a modelling and road safety perspective. Cogn. Tech. Work 10, 31-39.
• [27] Várhelyi, A., Hjälmdahl, M., Hydén, C., Draskóczy, M., 2004. Effects of an active accelerator pedal on driver behaviour and traffic safety after long-term use in urban areas. Accid. Anal. Prev. 36, 729-737.
• [28] Alkim, T., Bootsma, G., Looman, P., 2007. The assisted driver. Rijkswaterstaat, Roads to the Future. Delft, April 2007.
• [29] Rämä, P., 2001. Effects of Weather-controlled Variable Message Signing on Driver Behavior. VTT Publications 447. Technical Research Centre of Finland, Espoo.
• [30] Rämä, P., Kulmala, R., 2000. Effects of variable message signs for slippery road conditions on driving speeds and headways. Transport. Res. F 3, 85-94.
• [31] Luoma, J., Rämä, P., Penttinen, M., Anttila, V., 2000. Effects of variable message signs for slippery road conditions on reported driver behaviour. Transport. Res. F 3, 75-84.
• [32] Rudin-Brown, C.M., Parker, H.A., 2004. Behavioural adaptation to adaptive cruise control (ACC): implications for preventive strategies. Transport. Res. F 7, 59-76.
• [33] Ben-Yaacov, A., Maltz, M., Shinar, D., 2002. Effects of an in-vehicle collision avoidance warning system on short- and long-term driving performance. Hum. Factors 44, 335-342.
• [34] Stanton, N.A., Pinto, M., 2000. Behavioural compensation by drivers of a simulator when using a vision enhancement system. Ergonomics 43, 1359-1370.
• [35] Biding, T., Lind, G., 2002. Intelligent speed adaptation (ISA), Results of large-scale trials in Borlänge, Lidköping, Lund and Umeå during 1999-2002. Publication 2002:89E. Swedish National Road Administration, Borlänge.
• [36] Zheng, P., McDonald, M., Wu, J., 2005. Evaluation of CWCA systems using empirical driving data. In: Paper Presented at the 8th International IEEE Conference on Intelligent Transportation Systems.
• [37] Fridström, L., Ifver, J., Ingebrigtsen, S., Kulmala, R., Thomsen, L., 1995. Measuring the contribution of randomness, exposure, weather, and daylight to the variation in road accident counts. Accid. Anal. Prev. 27, 1-20.
• [38] Vonk, T., van Rooijen, T., Hogema, J., Feenstra, P., 2007. Do Navigation Systems Improve Traffic Safety. TNO Report 2007-D-R0048/B. Netherlands Organisation for Applied Scientific Research TNO.
• [39] U.S. DOT, 2005. Benefits, Costs and Lessons Learned. Intelligent Transportation Systems 2005 Update. U.S. Department of Transportation, Federal Highway Administration. Prepared by Mitretek Systems (May, 2005).
• [40] Assum, T., Bjørnskau, T., Fosser, S., Sagberg, F., 1999. Risk compensation - the case of road lighting. Accid. Anal. Prev. 31, 545–553.
• [41] Lehtonen, M.J., Kulmala, R., 2002. The benefits of a pilot implementation of public transport signal priorities and real-time passenger information. In: Transportation Research Record 1799. Transportation Research Board, Washington, DC, pp. 18-25.
• [42] Laine, T., Pesonen, H., Moilanen, P., “Joukkoliikenteen internetreittineuvontapalvelun vaikutusten ja kannattavuuden arviointi”. “An Assessment of the Effects and Costeffectiveness of a Public Transport Journey Planner”. FITS Publications 22/2003, Ministry of Transport and Communications Finland, Helsinki.
• [43] Imnan, V.W., Peters, J.I., 1996. TRAVTEK Global Evaluation and Executive Summary. Report No. FHWA-RD-96-031. Federal Highway Administration.
• [44] Sihvola, N., Luoma, J., Schirokoff, A., Karkola, K., Salo, J., 2009. In-depth evaluation of the effects of an automatic emergency call system on road fatalities. Eur. Transport Res. Rev. 1, 99-105.
• [45] Litwin M., Oskarbski J., Jamroz K. (2006), Inteligentne Systemy Transportu - Zaawansowane Systemy Zarządzania Ruchem, w: I Polski Kongres Drogowy ''Lepsze drogi - lepsze życie'': referaty. 1st Polish Road Congress ''Better roads - better life'': proceedings, Polski Kongres Drogowy, Warszawa, s. 167-174.
• [46] Vanderschuren M., „Safety improvements through Intelligent Transport Systems: A South African case study based on microscopic simulation modelling”, Accident Analysis and Prevention 40 (2008) 807–817.
• [47] http://www.benefitcost.its.dot.gov/
• [48] PIARC Committee on Intelligent Transport Systems, 2004. In: Miles, J.C., Chen, K. (Eds.), ITS Handbook, 2nd ed. World Road Association PIARC.
• [49] Intelligent Transport Systems in Britain, CD published by ITS United Kingdom, November 2003.
• [50] Mkhize, S., Thomas, D., 2005. e-Mobility: South African Freeway Management. In: 24th Annual South African Transport Conference, Pretoria, SA.
• [51] Gupta, N., Bisantz, A. M. and Singh, T. (2002) The effects of adverse condition warning system characteristics on driver performance: an investigation of alarm signal type and threshold level, Behaviourand Information Technology, 21(4), pp. 235-248.
• [52] Kolisetty, V. G. B., Iryo, T., Asakura, Y. and Kuroda, K. (2006) Effect of variable message signs on driver speed behavior on a section of expressway under adverse fog conditions – a driving simulator approach, Journal of Advanced Transportation, 40(1), pp. 47-74.
• [53] http://www.esafety-effects-database.org
• [54] Sihvola, N., Schirokoff, A. and Luoma, J. (2006) Impacts of an automatic emergency call system on accident consequences, in: Proceedings of the 13th World Congress on Intelligent Transport Systems, 8-12 October 2006 (London: ERTICO).
• [55] Almqvist, S., Hyden, C. and Risser, R. (1991) Use of speed limiters in cars for increased safety and a better environment, Transportation Research Record, 1318, pp. 34-39.
• [56] Vlassenroot, S., Mol, J. (2004) “Trial on intelligent speed adaptation in Ghent, Belgium: the results on acceptance and driving-behavior of the test-drivers”, Proceedings of the ITS in Europe Congress, 24-26 May 2004 (Budapest: ERTICO).
• [57] Jamson, S., “Would those who need ISA, use it? Investigating the relationship between drivers speed choice and their use of a voluntary ISA system”, Transportation Research F, 9(3), (2006) pp. 195-206.
• [58] Regan, M., Young, K., Triggs, T. J., et al., “Impact on driving performance of inteligent speed adaptation, following distance warning and seatbelt reminder systems: key findings from the TAC Safe Car project”, IEE Proceedings of Intelligent Transport Systems, 153 (1), (2006) pp. 51-62.
• [59] Wood, K., Stevens, A. and Fraser, I., “Effects of external vehicle speed limiting and headway advice on motorway traffic”, in: Proceedings of the 11th International Conference on Road Transport Information and Control, 19-22 March 2002 (London: IEEE).
• [60] Carsten, O.M.J., Fowkes, M., External Vehicle Speed Control Phase 1 results: Exclusive summary. University of Leeds and Motor Industry Research Association, 1998 UK.
• [61] Balz W., Zhu, J., “Nebelwarnsystem A8 Hohenstadt-Reidheim, Wirkungsanalyse, Landesamt fűr Strassenwesen”, Baden-Wűrttenberg & PTV Consult GmbH (in German) 1994.
• [62] Rämä, P., “Sääjakelitietoon perustuvanliiken teenohjausjärjestelmän vaikutukset Kotka-Hamina-moottoritiellä”, Helsinki, Finnish National Road Administration, Finnra reports 1/1997 (in Finnish).
• [63] Carsten, O. M. J. and Tate, F. N., “Intelligent speed adaptation: accident saving and costbenefit analysis”, Accident Analysis and Prevention, 37 (3) (2005), pp. 407–416.
• [64] ICADTS (2001) Alcohol Ignition Inter-lock Devices I: Position Paper. ICADTS (ISBN 90-802908-4-x).
• [65] Mathijssen, M. P. M., “Drink driving policy and road safety in the Netherlands: a retrospective analysis”, Transportation Research E, 41 (5) (2005), pp. 395-408.
• [66] ETSC (2005) In-Car Enforcement Technologies Today. ETSC Report (ISBN 9076024200).
• [67] Bjerre, B. (2005) Primary and secondary prevention of drink driving by the use of alcolock device and program: Swedish experiences, Accident Analysis and Prevention, 37(6), pp. 1145-1152.
• [68] Beirness, D. J., Marques, P. M., Voas, R. B. and Tippetts, A. S., “The impact of mandated versus voluntary participation in the Alberta ignition interlock program”, in: Proceedings of the 15th International Conference on Alcohol, Drugs and Traffic Safety, 22-26 May 2000 (Stockholm: ICADTS).
• [69] SARTRE 2 (1998), “The Attitude and Behavior of European Car Drivers to Road Safety”. SWOV Institute for Road Safety Research, European Commission.
• [70] Tsugawa, S., Kato, S., Matsui, T., Naganawa, H. and Fuji, H. (2000) An architecture for cooperative driving of automated vehicles, in: Proceedings of the 2000 IEEE Intelligent Transportation Systems Conference, 1–3 October 2006 (Dearborn, MI: IEEE).
• [71] Wickens, C. D. and Hollands, J. G. (2000) Engineering Psychology and Human Performance (Upper Saddle River, NJ: Prentice-Hall).
• [72] de Visser, W., Marchau, V. A. W. J. and van der Heijden, R. E. C. M. (1999) The costeffectiveness of future driver support systems, in: Proceedings of the 32nd International Symposium on Automotive Technology and Automation, 14-18 June 1999 (Vienna: International Symposium on Automotive Technology & Automation).
• [73] Monsere, C., Nolan, C., Bertini, R., Anderson, A. and El-Seoud, T. (2005) Measuring the impacts of speed reduction technologies: a dynamic advanced curve warning system evaluation, Transportation Research Record, 1918, pp. 98-107.
• [74] Theeuwes, J. and Godthelp, H. (1995) Self-explaining roads, Safety Science, 19(2-3), pp. 217-225.
• [75] CRA (Charles River Associates Incorporated) (1998) Consumer Acceptance of Automotive Crash Avoidance Devices: A Report of Qualitative Research. USDoT, CRA Interim Report (Project No. 852-05).
• [76] Hollnagel, E. and Källhammer, J-E. (2003) Effects of a Vision Enhancement System (NVES) on driving: results from a simulator study, in: Proceedings of the 2nd International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design, 7-12 June 2003 (Park City, UT: Public Policy Center).
• [77] Barham, P. (2001) The effect of an infrared driver support system on driver behaviour, in: D. Harris(Ed.) Engineering Psychology and Cognitive Ergonomics: Vol. 5. Aerospace and Transportation Systems, pp. 407-413 (Hants: Ashgate).
• [78] PRISM (2005) Report Reference R1: State of the Art Report on Technology & Patent Search Data (TUG Graz University of Technology, European Commission).

Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.