Methodology For Determining Reliable Traffic Parameters For Current Analysis Of Performance Of Motorways And Expressways

Malwina Spławińska

doi:10.7250/bjrbe.2019-14.435

Methodology For Determining Reliable Traffic Parameters For Current Analysis Of Performance Of Motorways And Expressways

Authors

Malwina Spławińska Dept of Highway and Traffic Engineering, Faculty of Civil Engineering, Cracow University of Technology, Cracow, Poland

DOI:

https://doi.org/10.7250/bjrbe.2019-14.435

Keywords:

Design Hourly Volume (DHV), expressway, motorway, proportion of heavy vehicles, traffic data

Abstract

In this paper, the results of analyses concerning selected traffic characteristics typical for Polish motorways and expressways are presented. The input data were collected automatically by stations located on various highways. In the first place, with the use of the coefficient of variability, periods with the lowest traffic volume variability in the year and the day were determined. On this basis, the most favourable time scope of random measurements was determined to allow reliable estimation of traffic parameters for road performance analyses. Then, based on model relationships between the characteristics of traffic volume variability over time and constant volume (regression relationships, a model of Artificial Neural Networks), correction factors were developed enabling direct conversion of the obtained measurement results into Design Hourly Volume. In addition, the rules for determining the share of heavy vehicles meeting the conditions at peak hours of the year were developed. The presented approach is in line with the current research trend on a global scale and allows for improving the accuracy of estimating Design Hourly Volume by 20 per cent concerning the method currently recommended in Poland.

References

AASHTO. (1992). AASHTO Guidelines for Traffic Data Programs, American Association of State Highway and Transportation Officials.

Arnold, M., Kluth, T., Ziegler, H., & Thomas, B. (2013). Bemessungsverkehrsstärken auf einbahnigen Landstraßen. (in German)

Arnold, M., & Böttcher, S. (2005). Bemessungsverkehrsstärken vor dem Hintergrund sich verändernder Pegel: deskriptive Analyse von Dauerlinien und Schätzung von Dauerlinienkennwerten auf Basis von Kurzzeitzählungen (No. 922). (in German)

HBS (2015). Handbuch für die Bemessung von Straßenverkehrsanlagen. Teil A: Autobahnen. Köln: Forschungsgesellschaft für Straßen- und Verkehrswesen (FGSV). (in German)

Capparuccini, D. M., Faghri, A., Polus, A., & Suarez, R. E. (2008). The Fluctuation and Seasonality of Hourly Traffic, and the Accuracy of DHV Estimates. Transportation Research Record: Journal of the Transportation Research Board 2049, 63-70. https://doi.org/10.3141%2F2049-08

Ghanim, M. S. (2011). Florida Statewide Design-Hour Volume Prediction Model (No. 11-3693).

HCM (2017). Highway Capacity Manual. Transportation Research Board of the National Academies (Sixth Edition).

GDDP (1995). Instrukcja obliczania przepustowości dróg I i II klasy technicznej (autostrady i drogi ekspresowe). (in Polish)

Kenno, S. Y., Sahu, P. K., Mehran, B., & Sharma, S. (2017). Investigation of the factors affecting the consistency of short-period traffic counts. Journal of modern transportation, 25(3), 150-162. https://doi.org/10.1007/s40534-017-0133-y

Kot, S. M., Jakubowski J., & Sokołowski, A. (2007). Statystyka. Podręcznik dla studiów ekonomicznych, Warszawa: Difin. (in Polish)

Lemke, K. (2011). Estimation of the Peak-Hour Demand In the German Highway Capacity Manual. Procedia-Social and Behavioral Sciences, 16, 762-770. https://doi.org/10.1016/j.sbspro.2011.04.495

Liu, Z., & Sharma, S. (2006). Predicting directional design hourly volume from statutory holiday traffic. Transportation Research Record: Journal of the Transportation Research Board, (1968), 30-39. https://doi.org/10.1177%2F0361198106196800104

Maśkiewicz J. (2016). General Directorate for National Roads and Motorways of Poland, Department of Traffic Analysis.

Schurr, K. (2010). Using Traffic Estimates to Evaluate Intersection Improvements. Project P553, Nebraska.

Sharma, S. C., Wu, Y., & Rizak, S. N. (1995). Determination of DDHV from directional traffic flows. Journal of Transportation Engineering, 121(4), 369-375. https://doi.org/10.1061/(ASCE)0733-947X(1995)121:4(369)

Spławińska, M. (2018). Analysis of selected traffic characteristics on motorways and expressways. Drogownictwo, 73(2), 61-68. (in Polish)

Spławińska, M. (2017). Factors determining seasonal variations in traffic volumes. Archives of Civil Engineering, 63(4), 35-50. https://doi.org/10.1515/ace-2017-0039

Spławińska, M. (2016). Methodology for determining traffic volume for the analysis of roads efficiency. Roads and Bridges-Drogi i Mosty, 15(1), 45-60. https://doi.org/10.5604/08669546.1160929

Spławińska, M. (2015). Development of models for determining the traffic volume for the analysis of roads efficiency. Archives of Transport, 33. https://doi.org/10.5604%2F08669546.1160929

Spławińska, M. (2013). Charakterystyki zmienności natężeń ruchu i ich wpływ na eksploatację wybranych obiektów drogowych, Dissertation, Cracow, Poland. (in Polish)