Open Access
MATEC Web Conf.
Volume 231, 2018
12th International Road Safety Conference GAMBIT 2018 - “Road Innovations for Safety - The National and Regional Perspective”
Article Number 02008
Number of page(s) 9
Section Traffic organization and control for road safety
Published online 16 November 2018
  1. A. Dijkstra, S. Bald, T. Benz, E. Gaitanidou, Overview of resulting tools, guidelines, and instruments. In-Safety deliverable D3.4 (2008) [Google Scholar]
  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 [Google Scholar]
  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) [Google Scholar]
  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) [Google Scholar]
  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 [Google Scholar]
  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 [CrossRef] [Google Scholar]
  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 [Google Scholar]
  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) [Google Scholar]
  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 [CrossRef] [Google Scholar]
  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 [Google Scholar]
  11. Organization for Economic Co-operation and Development (OECD), Road Safety: Impact of new technologie (OECD Publications, Paris, France, 2003) [Google Scholar]
  12. L. Randolph, Texas variable speed limit pilot project, in: Natl. Rural Intell. Transp. Syst. Conf., (San Antonio, 2015) [Google Scholar]
  13. N. Fudala, Work Zone Variable Speed Limit Systems: Effectiveness and System Design Issues (Virginia DOT, 2010) [Google Scholar]
  14. 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 [CrossRef] [Google Scholar]
  15. N. Poon, H. Dia, Evaluation of toll collection performance using traffic simulation, in: 27th Conf. Aust. Institutes Transp. Res. (CAITR 2005), (Brisbane, 2005) [Google Scholar]
  16. 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 [CrossRef] [Google Scholar]
  17. Transportation Research Board, Highway Capacity Manual 2010 (Transportation Research Board of the National Academies, Washington, 2010) [Google Scholar]
  18. V. Knoop, S. Hoogendoorn, K. Adams, Capacity Reductions at Incidents Sites on Motorways, Eur. J. Transp. Infrastruct. Res. 9 pp. 363-379 (2009) [Google Scholar]
  19. 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 [Google Scholar]
  20. 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 [Google Scholar]
  21. 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) [Google Scholar]
  22. 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) [Google Scholar]

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