Narzędzia help

Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
first last
cannonical link button


Archives of Transport

Tytuł artykułu

Development of a statistically-based methodology for analyzing automatic safety treatments at isolated high-speed signalized intersections

Autorzy Wojtal, R. M.  Rilett, L. R. 
Treść / Zawartość
Warianty tytułu
Języki publikacji EN
EN Crashes at isolated rural intersections, particularly those involving vehicles traveling perpendicularly to each other, are especially dangerous due to the high speeds involved. Consequently, transportation agencies are interested in reducing the occurrence of this crash type. Many engineering treatments exist to improve safety at isolated, high-speed, signalized intersections. Intuitively, it is critical to know which safety treatments are the most effective for a given set of selection criteria at a particular intersection. Without a well-defined decision making methodology, it is difficult to decide which safety countermeasure, or set of countermeasures, is the best option. Additionally, because of the large number of possible intersection configurations, traffic volumes, and vehicle types, it would be impossible to develop a set of guidelines that could be applied to all signalized intersections. Therefore, a methodology was developed in this paper whereby common countermeasures could be modeled and analyzed prior to being implemented in the field. Due to the dynamic and stochastic nature of the problem, the choice was made to employ microsimulation tools, such as VISSIM, to analyze the studied countermeasures. A calibrated and validated microsimulation model of a signalized intersection was used to model two common safety countermeasures. The methodology was demonstrated on a test site located just outside of Lincoln, Nebraska. The model was calibrated to the distribution of observed speeds collected at the test site. It was concluded that the methodology could be used for the preliminary analysis of safety treatments based on select safety and operational measures of effectiveness.
Słowa kluczowe
PL urządzenia kontroli ruchu   bezpieczeństwo ruchu   sygnały ruchu   prędkość ruchu   analiza ruchu   kalibracja   walidacja   modele symulacyjne  
EN traffic control devices   traffic safety   traffic signals   traffic speed   traffic analysis   calibration   validation   simulation models  
Wydawca Warsaw University of Technology, Faculty of Transport
Czasopismo Archives of Transport
Rocznik 2017
Tom Vol. 44, iss. 4
Strony 75--88
Opis fizyczny Bibliogr. 28 poz., rys., tab., wykr.
autor Wojtal, R. M.
  • Cracow University of Technology, Faculty of Civil Engineering, Cracow, Poland,
autor Rilett, L. R.
[1] APPIAH, J., RILETT, L. R., & WU, Z., 2011. Evaluation of NDOR’s Actuated Advance Warning System. Report TSPT1-03, Nebraska Transportation Center, University of Nebraska-Lincoln, NE.
[2] CALIENDO, C., & GUIDA, M., 2012. Microsimulation Approach for Predicting Crashes at Unsignalized Intersections Using Traffic Conflicts. Journal of Transportation Engineering, 10.1061/(ASCE)TE.1943-5436.0000473, pp. 1453-1467.
[3] CUNTO, F., & SACCOMANNO, F. F., 2008. Calibration and validation of simulated vehicle safety performance at signalized intersections. Accident Analysis & Prevention, 40(3), pp. 1171-1179.
[4] DAVIS, G. A., HOURDOS, J., & XIONG, H., 2008. Outline of causal theory of traffic conflicts and collisions. In Transportation Research Board 87th Annual Meeting, No. 08-2431.
[5] ESSA, M., & SAYED, T., 2015. Transferability of calibrated microsimulation model parameters for safety assessment using simulated conflicts. Accident Analysis & Prevention, Volume 84, pp. 41-53.
[6] FAZIO, J., & ROUPHAIL, N. M., 1990. Conflict simulation in INTRAS: Application to weaving area capacity analysis. Transportation Research Record, Vol. 1287, pp. 96-107.
[7] GETTMAN, D, & HEAD, L., 2003. Surrogate Safety Measures from Traffic Simulation Models. Final Report, FHWA Report FHWA-RD-03-050, p 126.
[8] GETTMAN, D., & HEAD, L., 2003. Surrogate safety measures from traffic simulation models. Transportation Research Record, Vol. 1840, pp. 104–115.
[9] GETTMAN, D., PU, L., SAYED, T., & SHELBY, S. G., 2008. Surrogate safety assessment model and validation: Final report. Report No. FHWA-HRT-08-051.
[10] HUANG, X. P., & PANT, P. D., 1994. Simulation Neural-Network Model for Evaluating Dilemma Zone Problems at High-Speed Signalized Intersections. Transportation Research Record, Vol. 1456, pp. 34-42.
[11] Institute of Traffic Engineers, 2003. Making Intersections Safer: A Toolbox of Engineering Countermeasures to Reduce Red-Light Running. IR-115 500/STP/CAA/PMR/0503, Washington, DC.
[12] KOSONEN, I., & REE, S., 2001. The potential of microscopic simulation in traffic safety and conflict studies. Proceedings of the Conference on Road Safety on Three Continents, Pretoria, South Africa, VTI Konferens 15A, No. 15A, pp. 786-794.
[13] LIU, Y., CHANG, G., TAO, R., HICKS, T., & TABACEK, E., 2006. Empirical Observations of Dynamic Dilemma Zones at Signalized Intersections. Transportation Research Record, Vol. 2035, pp. 122–123.
[14] MACHIANI, S. G., & ABBAS, M., 2016. Safety Surrogate Histograms (SSH): A Novel Real-Time Safety Assessment of Dilemma Zone Related Conflicts at Signalized Intersections. Accident Analysis & Prevention, Vol. 96, pp. 361-370.
[15] McCOY, P. T., & PESTI, G., 2002. Advance Detection on High-Speed Signalized Intersection Approaches. Report No. SPR-PL-1(035) P525, Department of Civil Engineering, University of Nebraska-Lincoln, NE.
[16] OZBAY, K., YANG, H., BARTIN, B., & MUDIGONDA, S., 2008. Derivation and validation of new simulation-based surrogate safety measure. Transportation Research Record, Vol. 2083, pp. 105–113.
[17] PARK, B., & SCHNEEBERGER, J. D., 2003. Microscopic Simulation Model Calibration and Validation: Case Study of VISSIM Simulation Model for a Coordinated Actuated Signal System. Transportation Research Record, Vol. 1856, pp. 185-192.
[18] PARK, S. Y., XU, L., & CHANG, G., 2015. Design and Evaluation of an Advanced Dilemma Zone Protection System: Advanced Warning Sign and All-Red Extension. Compendium of Papers from the 94th Annual Meeting of the Transportation Research Board, Washington, D.C.
[19] PERKINS, D., & BOWMAN, B., 1986. Effectiveness Evaluation by Using Non-accident Measures of Effectiveness. Transportation Research Record, Vol. 905, pp. 138-142.
[20] PTV Plannung Transport Verkehr AG, 2011. VISSIM 5.30-05 User Manual. Innovative Transportation Concepts.
[21] PU, L., & JOSHI, R., 2008. Surrogate Safety Assessment Model (SSAM): Software User Manual. Publication No. FHWA-HRT-08-050.
[22] SAYED, T., BROWN, G., & NAVIN, F., 1994. Simulation of traffic conflicts at unsignalized intersections with TSC-Sim. Accident Analysis & Prevention, Vol. 26(5), pp. 593-607.
[23] SHAHDAH, U., SACCOMANNO, F., & PERSAUD, B., 2015. Application of traffic microsimulation for evaluating safety performance of urban signalized intersections. Transportation Research Part C: Emerging Technologies 60, pp. 96-104.
[24] SO, J., PARK, B. B. WOLFE, S. M., & DEDES, G., 2015. Development and Validation of a Vehicle Dynamics Integrated Traffic Simulation Environment Assessing Surrogate Safety. ASCE Journal of Computing in Civil Engineering 29, 04014080. Online publication date: 2015.
[25] SPIEGELMAN, C., PARK, E.S., & RILETT, L.R., 2010. Transportation Statistics and Microsimulation. Chapman and Hall/CRC; 1 edition.
[26] URBANIK, T., & KOONCE, P., 2007. The Dilemma with Dilemma Zones. Proc., ITE District 6.
[27] WIEGAND, J., & YANG, D., 2011. Traffic Simulation Runs: How Many Needed?. Public Roads Volume: 74, Issue Number: 4, 2011-1, pp 30-35.
[28] WOJTAL, R., 2012. Development of a Methodology for Analyzing Safety Treatments at Isolated Signalized Intersections. Ph.D. Dissertation, University of Nebraska-Lincoln, NE.
PL Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Kolekcja BazTech
Identyfikator YADDA bwmeta1.element.baztech-1149e486-8035-4654-bff1-aaf0e6649b77
DOI 10.5604/01.3001.0010.6163