An Assessment of The Effect of The Average Speed Enforcement Systems on Lithuanian Roads
DOI:
https://doi.org/10.7250/bjrbe.2023-18.615Keywords:
average speed enforcement systems, road accident data, speeding, traffic rulesAbstract
The speeding is a major road safety problem on the roads of Lithuania and many other countries. To reduce and control the speed of vehicles, engineering measures are installed on the roads of Lithuania and other countries – intelligent instantaneous and average speed enforcement systems, as well as many other engineering and structural speed reduction measures. The article presents good practices in the use of average speed enforcement systems, assessment of their effect on road safety. The article analyses the assessment results of the effect of the average speed enforcement systems installed on 25 sections of roads in Lithuania that have been operating for four years. Calculations of the effect factor of the installed average speed enforcement systems on road safety were performed using the before-and-after (B&A) method with a comparison group. Studies on the effect of application of speed control systems provide conditions for evaluating road safety, i.e., changes in road accidents linked to the effectiveness of implemented measures. The conclusions of the conducted study presented the calculations of the efficiency coefficients of the average speed enforcement systems on Lithuanian main and national roads. The analysis of the results of the conducted study allows stating that the installed average speed enforcement systems on 25 sections of Lithuanian roads increase overall road safety by 47%, reduce the number of collisions with animals by 80%, and the number of collisions with vehicles by 35%, as well as the number of other road accidents by 56%.References
Before-and-after studies using crash data and iRAP protocols (2011). 2011 iRAP EuroRAP working paper. https://road-safety.transport.ec.europa.eu/system/files/2023-01/NWA-Handbook7.pdf
Daniels, S., Martensen, H., Schoeters, A., Van den Berghe, W., Papdimitriou, E., Ziakopoulos, A., Kaiser, S., Aigner- Breuss, E., Soteropoulos, A., Wijnen, W., Weijermars, W., Carnis, L., Eelvik, R., & Perez, O. M. (2019). A systematic cost-benefit analysis of 29 road safety measures. Accident Analysis and Prevention, 133, Article 105292. https://doi.org/10.1016/j.aap.2019.105292
De Pauw, E., Daniels, S., Thierie, M., & Brijs, T. (2014). Safety effects of reducing the speed limit from 90 km/h to 70 km/h. Accident Analysis and Prevention, 62, 426–431. https://doi.org/10.1016/j.aap.2013.05.003
Division of traffic engineering guidelines: safety programs / before & after studies. (2017). https://fhwaapps.fhwa.dot.gov/hsipp/Attachments/2018_50c0bbaf-d324-4959-b64f-cd282b8e45fc_CT’s%20HSIP%20safety%20program.pdf
Elvik, R., Vadeby, A., Hels, T., & van Schagen, I. (2019). Updated estimates of the relationship between speed and road safety at the aggregate and individual levels. Accident Analysis and Prevention, 123, 114–122. https://doi.org/10.1016/j.aap.2018.11.014
Høye, A. K., & Elvik, R. (2019). Handbook of road safety measures: Introductory part – crashes, risk, and metaanalysis. Norway: Institute of Transport Economics.
Before-and-after study technical brief. (2009). Institute of Transportation Engineers Transportation Safety Council. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.184.8837&rep=rep1&type=pdf
Lithuanian Road Police Service. (2021). https://lkpt.policija.lrv.lt/lt/statistika/eismo-ivykiu-lietuvoje-statistika/2022-metai-2
Mauro, R., De Luca, M., & Dell’Acqua, G. (2013). Using a k-means clustering algorithm to examine patterns of vehicle crashes in before-after analysis. Modern Applied Science, 7(10), 11–19. https://doi.org/10.5539/mas.v7n10p11
Montella, A., Persaud, B., D’Apuzzo, M., & Imbriani, L. L. (2012). Safety evaluation of an automated section speed enforcement system, transportation research record, 2281(1), 16–25. https://doi.org/10.3141/2281-03
Polders, E., & Brijs, T. (2018). How to analyse accident causation? A handbook with focus on vulnerable road users. Belgium: Hasselt University.
Transport Competence Agency. (2022). Statistics of rated road accidents in Lithuania, 2018–2021.
Vaitkus, A., Strumskys, M., Jasiūnienė, V., Jateikienė, L., Andriejauskas, T., & Skrodenis, D. (2016). Effect of intelligent transport systems on traffic safety. The Baltic Journal of Road and Bridge Engineering, 11(2), 136−143. https://doi.org/10.3846/bjrbe.2016.16
van der Horst, A. R. A., Thierry, M. C., Vet, J. M., & Rahman, A. F. (2017). An evaluation of speed management measures in Bangladesh based upon alternative accident recording, speed measurements, and DOCTOR traffic conflict observations. Transportation Research Part F, 46(B), 390–403. https://doi.org/10.1016/j.trf.2016.05.006
Vanlommel, M., Houbraken, M., Audenaert, P., Logghe, S., Pickavet, M., & De Maeyer, P. (2015). An evaluation of section control based on floating car data. Transportation Research Part C, Emerging Technologies, 58(C), 617–627. https://doi.org/10.1016/j.trc.2014.11.008
Wang, Y. G., Chen, K. M., Pei, Y. L., & Wang, Y. (2011). Integrating before and after crash features into measuring the effectiveness of intersection safety improvement project in Harbin. Transport, 26(1), 111–120. https://doi.org/10.3846/16484142.2011.565599
Daniels, S., Martensen, H., Schoeters, A., Van den Berghe, W., Papdimitriou, E., Ziakopoulos, A., Kaiser, S., Aigner- Breuss, E., Soteropoulos, A., Wijnen, W., Weijermars, W., Carnis, L., Eelvik, R., & Perez, O. M. (2019). A systematic cost-benefit analysis of 29 road safety measures. Accident Analysis and Prevention, 133, Article 105292. https://doi.org/10.1016/j.aap.2019.105292
De Pauw, E., Daniels, S., Thierie, M., & Brijs, T. (2014). Safety effects of reducing the speed limit from 90 km/h to 70 km/h. Accident Analysis and Prevention, 62, 426–431. https://doi.org/10.1016/j.aap.2013.05.003
Division of traffic engineering guidelines: safety programs / before & after studies. (2017). https://fhwaapps.fhwa.dot.gov/hsipp/Attachments/2018_50c0bbaf-d324-4959-b64f-cd282b8e45fc_CT’s%20HSIP%20safety%20program.pdf
Elvik, R., Vadeby, A., Hels, T., & van Schagen, I. (2019). Updated estimates of the relationship between speed and road safety at the aggregate and individual levels. Accident Analysis and Prevention, 123, 114–122. https://doi.org/10.1016/j.aap.2018.11.014
Høye, A. K., & Elvik, R. (2019). Handbook of road safety measures: Introductory part – crashes, risk, and metaanalysis. Norway: Institute of Transport Economics.
Before-and-after study technical brief. (2009). Institute of Transportation Engineers Transportation Safety Council. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.184.8837&rep=rep1&type=pdf
Lithuanian Road Police Service. (2021). https://lkpt.policija.lrv.lt/lt/statistika/eismo-ivykiu-lietuvoje-statistika/2022-metai-2
Mauro, R., De Luca, M., & Dell’Acqua, G. (2013). Using a k-means clustering algorithm to examine patterns of vehicle crashes in before-after analysis. Modern Applied Science, 7(10), 11–19. https://doi.org/10.5539/mas.v7n10p11
Montella, A., Persaud, B., D’Apuzzo, M., & Imbriani, L. L. (2012). Safety evaluation of an automated section speed enforcement system, transportation research record, 2281(1), 16–25. https://doi.org/10.3141/2281-03
Polders, E., & Brijs, T. (2018). How to analyse accident causation? A handbook with focus on vulnerable road users. Belgium: Hasselt University.
Transport Competence Agency. (2022). Statistics of rated road accidents in Lithuania, 2018–2021.
Vaitkus, A., Strumskys, M., Jasiūnienė, V., Jateikienė, L., Andriejauskas, T., & Skrodenis, D. (2016). Effect of intelligent transport systems on traffic safety. The Baltic Journal of Road and Bridge Engineering, 11(2), 136−143. https://doi.org/10.3846/bjrbe.2016.16
van der Horst, A. R. A., Thierry, M. C., Vet, J. M., & Rahman, A. F. (2017). An evaluation of speed management measures in Bangladesh based upon alternative accident recording, speed measurements, and DOCTOR traffic conflict observations. Transportation Research Part F, 46(B), 390–403. https://doi.org/10.1016/j.trf.2016.05.006
Vanlommel, M., Houbraken, M., Audenaert, P., Logghe, S., Pickavet, M., & De Maeyer, P. (2015). An evaluation of section control based on floating car data. Transportation Research Part C, Emerging Technologies, 58(C), 617–627. https://doi.org/10.1016/j.trc.2014.11.008
Wang, Y. G., Chen, K. M., Pei, Y. L., & Wang, Y. (2011). Integrating before and after crash features into measuring the effectiveness of intersection safety improvement project in Harbin. Transport, 26(1), 111–120. https://doi.org/10.3846/16484142.2011.565599
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26.09.2023
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Copyright (c) 2023 Laura Gavėnienė, Donatas Čygas, Laura Jateikienė Jateikienė, Viktoras Vorobjovas, Vilma Jasiūnienė, Atis Zarinš
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How to Cite
Gavėnienė, L., Čygas, D., Jateikienė, L. J., Vorobjovas, V., Jasiūnienė, V., & Zarinš, A. (2023). An Assessment of The Effect of The Average Speed Enforcement Systems on Lithuanian Roads. The Baltic Journal of Road and Bridge Engineering, 18(3), 217-233. https://doi.org/10.7250/bjrbe.2023-18.615
