Methodology of research on the impact of ITS services on the safety and efficiency of road traffic using transport models - Publikacja - MOST Wiedzy

Wyszukiwarka

Methodology of research on the impact of ITS services on the safety and efficiency of road traffic using transport models

Abstrakt

The current assessment of the impact of Intelligent Transport System (ITS) services on the level of traffic safety and efficiency is based mainly on expert assessments, statistical surveys or several traffic safety models requiring development. There is no structured, uniform assessment method that would give the opportunity to compare the impact of ITS services and their different configurations. The paper presents the methodology for researching the effectiveness of ITS services implementation using transport models and key indicators allowing such an assessment. An approach was used in which the impact of ITS services is analysed using macro, meso and microscopic models. Macro and mesoscopic models allow estimation of the impact of ITS services on the efficiency of transport network operation and constitute the basis of analyses at the microscopic level, which takes into account the behaviour of drivers through the use of car following and lane change models. As part of the analyses, road network test models (for motorways and expressways along with an alternative route) were developed. Test models include road class, network topology, and different traffic intensity. The models were calibrated using real data (data from the traffic measurement station, data measured in the field, traffic distribution data from the VIATOLL charging system) and data from the vehicle simulator.

Cytowania

  • 5

    CrossRef

  • 0

    Web of Science

  • 4

    Scopus

Cytuj jako

Pełna treść

pobierz publikację
pobrano 25 razy
Wersja publikacji
Accepted albo Published Version
Licencja
Creative Commons: CC-BY otwiera się w nowej karcie

Słowa kluczowe

Informacje szczegółowe

Kategoria:
Publikacja w czasopiśmie
Typ:
artykuły w czasopismach
Opublikowano w:
MATEC Web of Conferences nr 231, strony 1 - 9,
ISSN: 2261-236X
Język:
angielski
Rok wydania:
2018
Opis bibliograficzny:
Oskarbski J., Gumińska L., Marcinkowski T., Mowiński K., Oskarbska I., Oskarbski G., Zawisza M., Żarski K.: Methodology of research on the impact of ITS services on the safety and efficiency of road traffic using transport models// MATEC Web of Conferences -Vol. 231, (2018), s.1-9
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1051/matecconf/201823102008
Bibliografia: test
  1. A. Dijkstra, S. Bald, T. Benz, E. Gaitanidou, Overview of resulting tools, guidelines, and instruments. In-Safety deliverable D3.4 (2008) otwiera się w nowej karcie
  2. W. Kustra, K. Jamroz, M. Budzynski, Safety PL-A Support Tool for Road Safety Impact Assessment, Transp. Res. Procedia. 14 pp. 3456-3465 (2016). doi:10.1016/J.TRPRO.2016.05.308 otwiera się w nowej karcie
  3. S. Washington, B. Persaud, C. Lyon, J. Oh, Validation of accident models for intersections. FHWA-RD-03-037 (U.S. Department of Transportation, Federal Highway Administration, 2005)
  4. M. Reurings, T. Janssen, R. Eenink, R. Elvik, J. Cardoso, C. Stefan, Accident prediction models and road safety impact assessment; a state of the art. Ripcord- Iserest deliverable D2 (SWOV, 2006)
  5. K. Bevrani, E. Chung, An Examination of the Microscopic Simulation Models to Identify Traffic Safety Indicators, Int. J. Intell. Transp. Syst. Res. 10 pp. 66-81 (2012). doi:10.1007/s13177-011-0042-0 otwiera się w nowej karcie
  6. P. Bonsall, R. Liu, W. Young, Modelling safety-related driving behaviour-impact of parameter values, Transp. Res. Part A Policy Pract. 39 pp. 425-444 (2005). doi:10.1016/J.TRA.2005.02.002 otwiera się w nowej karcie
  7. M.M. Minderhoud, P.H.L. Bovy, Extended time-to-collision measures for road traffic safety assessment, Accid. Anal. Prev. 33 pp. 89-97 (2001). doi:10.1016/S0001-4575(00)00019-1 otwiera się w nowej karcie
  8. S. Cafiso, C. D'Agostino, R. Bąk, M. Kieć, The Assessment of Road Safety for Passing Relief Lanes Using Microsimulation and Traffic Conflict Analysis, Adv. Transp. Stud. pp. 55-64 (2016) otwiera się w nowej karcie
  9. T. Kamiński, M. Siergiejczyk, J. Oskarbski, P. Filipek, Impact of ITS services on the safety and efficiency of road traffic, MATEC Web Conf. 122 pp. 03004 (2017). doi:10.1051/matecconf/201712203004 otwiera się w nowej karcie
  10. J. Oskarbski, T. Marcinkowski, M. Zawisza, Impact of Intelligent Transport Systems Services on the Level of Safety and Improvement of Traffic Conditions, in: pp. 142-154 (Springer, Cham, 2017). doi:10.1007/978-3-319-66251-0_12 11. Organization for Economic Co-operation and Development (OECD), Road Safety: Impact of new technologie (OECD Publications, Paris, France, 2003) otwiera się w nowej karcie
  11. L. Randolph, Texas variable speed limit pilot project, in: Natl. Rural Intell. Transp. Syst. Conf., (San Antonio, 2015)
  12. N. Fudala, Work Zone Variable Speed Limit Systems: Effectiveness and System Design Issues (Virginia DOT, 2010)
  13. M.D. Anderson, R.R. Souleyrette, Pseudo-dynamic travel model application to assess traveler information, Transportation (Amst). 29 pp. 307-319 (2002). doi:10.1023/A:1015614208374 otwiera się w nowej karcie
  14. N. Poon, H. Dia, Evaluation of toll collection performance using traffic simulation, in: 27th Conf. Aust. Institutes Transp. Res. (CAITR 2005), (Brisbane, 2005) 16.
  15. R. Okraszewska, A. Romanowska, M. Wołek, J. Oskarbski, K. Birr, K. Jamroz, R. Okraszewska, A. Romanowska, M. Wołek, J. Oskarbski, K. Birr, K. Jamroz, Integration of a Multilevel Transport System Model into Sustainable Urban Mobility Planning, Sustainability. 10 pp. 479 (2018). doi:10.3390/su10020479 17. Transportation Research Board, Highway Capacity Manual 2010 (Transportation Research Board of the National Academies, Washington, 2010) otwiera się w nowej karcie
  16. V. Knoop, S. Hoogendoorn, K. Adams, Capacity Reductions at Incidents Sites on Motorways, Eur. J. Transp. Infrastruct. Res. 9 pp. 363-379 (2009) otwiera się w nowej karcie
  17. R. Kucharski, G. Gentile, Modeling Information Spread Processes in Dynamic Traffic Networks, in: pp. 317-328 (Springer, Cham, 2016). doi:10.1007/978-3-319- 49646-7_27 otwiera się w nowej karcie
  18. R. Kucharski, B. Kostic, G. Gentile, Real-time traffic forecasting with recent DTA methods, in: 2017 5th IEEE Int. Conf. Model. Technol. Intell. Transp. Syst., pp. 474-479 (IEEE, 2017). doi:10.1109/MTITS.2017.8005719 otwiera się w nowej karcie
  19. M.J. Demetsky, J.L. Schroeder, Evaluation of Driver Reactions for Effective Use of Dynamic Message Signs in Richmond. Report VTRC 10-R16 (Virginia Transportation Research Council, 2010)
  20. D. Gettman, L. Pu, T. Sayed, S. Shelby, Surrogate Safety Assessment Model and Validation. Final Report. FHWA-HRT-08-051 (Federal Highway Administration, U.S. Department of Transportation, 2008) 9 otwiera się w nowej karcie
  21. MATEC Web of Conferences 231, 02008 (2018) https://doi.org/10.1051/matecconf/201823102008 GAMBIT 2018 otwiera się w nowej karcie
Źródła finansowania:
Weryfikacja:
Politechnika Gdańska

wyświetlono 118 razy

Publikacje, które mogą cię zainteresować

Meta Tagi