Közúti konfliktusok elemzése: a svéd konfliktus technikától a videó alapú elemzési módszerekig

Attila Dr. Borsos; Dániel Dr. Miletics; Ahmad Kizawi; Marcell Ladich; Dávid Homola

doi:10.24228/KTSZ.2024.4.4

Attila Dr. Borsos Széchenyi István Egyetem, egyetemi tanár
Dániel Dr. Miletics Széchenyi István Egyetem, egyetemi docens
Ahmad Kizawi Széchenyi István Egyetem, PhD hallgató
Marcell Ladich Széchenyi István Egyetem, PhD hallgató
Dávid Homola Transoft Solutions Inc., menedzser

DOI: https://doi.org/10.24228/KTSZ.2024.4.4

Kulcsszavak: konfliktuselemzés, konfliktusmódszer, baleset, közlekedésbiztonság, kiegészítő biztonsági mutatók

Absztrakt

A közúti közlekedésbiztonság javítása változatlanul az alágazat egyik legfontosabb feladata. A közlekedési konfliktusok elemzése elvezethet az okok feltárásához és a helyes módszerek alkalmazásával a biztonság javításához.

Hivatkozások

Allen, B. L. and Shin, B. T. (1977). Analysis of Traffic Conflicts and Collisions. Transportation Research Record, 667:67–74.

Autey J., Sayed T., Zaki M. H. (2012), Safety evaluation of right-turn smart channels using automated traffic conflict analysis. Accident Analysis & Prevention Volume 45, March 2012, Pages 120-130, DOI: https://doi.org/fx6xh3

Baguley, C. J. (1984). The British traffic conflicts technique. In NATO advanced research workshop on international calibration study of traffic conflict techniques, Copenhagen, Denmark

Borsos, A., Farah H., Laureshyn A., Hagenzieker M., 2020. Are collision and crossing course surrogate safety indicators transferable? A probability based approach using extreme value theory. Accident Analysis & Prevention 143, pp. 105517. DOI: https://doi.org/gjddz2

Borsos, A., 2021. Application of bivariate extreme value models to describe the joint behavior of temporal and speed related surrogate measures of safety, Accident Analysis & Prevention, 159: 106274, DOI: https://doi.org/grp3726

Ceunynck, d. T. (2017). Defining and applying surrogate safety measures and behavioural indicators through site-based observations (Doctoral dissertation). PhD thesis, Lund University, Sweden

Flanagan, J. (1954). The Critical Incident Technique. Psychological Bulletin 51, pp. 327–358.

Hauer, E. (1997). Observational before-after studies in road safety. Emerald Group Publishing Limited, Oxford, UK.

Hydén, C. (1987). The development of a method for traffic safety evaluation: The Swedish Traffic Conflicts Technique. PhD thesis, Lund University, Sweden

Huang, F., Liu, P., Yu, H., Wang, W. (2013) Identifying if VISSIM simulation model and SSAM provide reasonable estimates for field measured traffic conflicts at signalized intersections, Accident Analysis and Prevention 50, pp. 1014-1024., DOI: https://doi.org/gmv2q7

Kočárková, D. (2012). Traffic Conflict Techniques in Czech Republic. Procedia - Social and Behavioral Sciences, 53:1029–1034

Kraay, J. and van der Horst, A. (1985). The Trautenfels Study: A diagnosis of roaad safety using Dutch Conflict observation Technique DOCTOR. Technical report,Institute for Road Safety Research SWOV, The Netherlands

Kulmala, R. (1984). The Finnish traffic conflict technique. In NATO advanced research workshop on international calibration study of traffic conflict techniques, Copenhagen, Denmark

Laureshyn, A., Svensson, A., and Hydén, C. (2010). Evaluation of traffic safety, based on micro-level behavioural data: Theoreticalframework and first implementation. Accident Analysis and Prevention, 42:1637–1646., DOI: https://doi.org/bz2k39

Laureshyn, A., De Ceunynck, T., Karlsson, C., Svensson, A., and Daniels, S. (2017). In search of the severity dimension of traffic events: Extended Delta-V as a traffic conflict indicator. Accident Analysis and Prevention, 98:46–56., DOI: https://doi.org/f9jp6g

Lu, G., Liu, M., Wang, Y., Yu, G. (2012) Quantifying the Severity of Traffic Conflict by Assuming Moving Elements as Rectangles at Intersection, Procedia - Social and Behavioral Sciences 43, pp. 255 – 264., DOI: https://doi.org/m42s

Mahmud, S. S., Ferreira, L., Hoque, M. S., and Tavassoli, A. (2017). Application of proximal surrogate indicators for safety evaluation: A review of recent developments and research needs. IATSS Research, 41:153–163., DOI: https://doi.org/gf9kms

Miletics, D. (2015): A konfliktusmódszer alkalmazása, In: Koren, Cs. (szerkesztő): Biztonságosabb közúti infrastruktúra, Győr, Magyarország: Universitas-Győr Nonprofit Kft., pp. 197-206.

Muhlrad, N. and Dupre, G. (1984). The French conflict technique. In NATO advanced research workshop on international calibration study of traffic conflict techniques, Copenhagen, Denmark

Nicholson, A. J. (1985). The variability of accident counts. Accident Analysis and Prevention, 17(1):47–56., DOI: https://doi.org/ctfg5w

Parker, M, R. and Zegeer, C, V. (1989). Traffic conflict techniques for safety and operation - observers manual (No. FHWA-IP-88-027). Technical report, Federal Highway Administration, U.S. Department of Transport

Perkins, S.R. and Harris, J.I. (1967) Traffic Conflict Characteristics: Accident Potential at Intersections. General Motors Corporati-on, Warren, MI.

Risser, R. and Schutzenhofer, A. (1984). Application of traffic conflict technique in Austria. In NATO advanced research workshop on international calibration study of traffic conflict techniques, Copenhagen, Denmark

Tarko, A., Davis, G., Saunier, N., Sayed, T., and Washington, S. (2009). White Paper SURRO-GATE MEASURES OF SAFETY ANB20(3) Subcommittee on Surrogate Measures of Safety ANB20 Committee on Safety Data Evaluation and Analysis

T-Analyst (2016). Software for semi-automated video processing

Songchitruksa, P. and Tarko, A. P. (2006). The extreme value theory approach to safety estimation. Accident Analysis and Prevention, 38:811–822., DOI: https://doi.org/cppxzj

Svensson, A. and Hydén, C. (2006). Estimating the severity of safety related behaviour. Accident Analysis and Prevention, 38:379–385., DOI: https://doi.org/ffsbd3

van der Horst, A. R. A., de Goede, M., de Hair-Buijssen, S., Methorst, R. (2014) Traffic conflicts on bicycle paths: A systematic observation of behaviour from video, Accident Analysis and Prevention 62, pp. 358– 368., DOI: https://doi.org/gkctf6

Wu, K., Aguero-Valverde, J., Jovanis, P. (2014) Using naturalistic driving data to explore the association betweentraffic safety-related events and crash risk at driver level, Accident Analysis and Prevention 72, pp. 210–218., DOI: https://doi.org/f6m57b