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

Your account

login

Search

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

Abstract

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.

Citations

  • 5

    CrossRef

  • 0

    Web of Science

  • 4

    Scopus

Authors (8)

Cite as

Full text

download paper
downloaded 28 times
Publication version
Accepted or Published Version
License
Creative Commons: CC-BY open in new tab

Keywords

Details

Category:
Articles
Type:
artykuły w czasopismach
Published in:
MATEC Web of Conferences no. 231, pages 1 - 9,
ISSN: 2261-236X
Language:
English
Publication year:
2018
Bibliographic description:
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:
Digital Object Identifier (open in new tab) 10.1051/matecconf/201823102008
Bibliography: test
  1. A. Dijkstra, S. Bald, T. Benz, E. Gaitanidou, Overview of resulting tools, guidelines, and instruments. In-Safety deliverable D3.4 (2008) open in new tab
  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 open in new tab
  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 open in new tab
  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 open in new tab
  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 open in new tab
  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) open in new tab
  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 open in new tab
  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) open in new tab
  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 open in new tab
  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) open in new tab
  16. V. Knoop, S. Hoogendoorn, K. Adams, Capacity Reductions at Incidents Sites on Motorways, Eur. J. Transp. Infrastruct. Res. 9 pp. 363-379 (2009) open in new tab
  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 open in new tab
  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 open in new tab
  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 open in new tab
  21. MATEC Web of Conferences 231, 02008 (2018) https://doi.org/10.1051/matecconf/201823102008 GAMBIT 2018 open in new tab
Sources of funding:
Verified by:
Gdańsk University of Technology

seen 123 times

Recommended for you

Methodology of research on the impact of ramp metering on the safety and efficiency of road traffic using transport models

2019

Assessment of the Speed Management Impact on Road Traffic Safety on the Sections of Motorways and Expressways Using Simulation Methods

2020

Impact of Intelligent Transport Systems Services on the Level of Safety and Improvement of Traffic Conditions

2017

Impact of ITS services on the safety and efficiency of road traffic

2017
Meta Tags