Skip to main content

Analysis of Relations Between Freeway Geometry and Traffic Characteristics on Traffic Accidents

  • Conference paper
  • First Online:
Advanced Technologies, Systems, and Applications II (IAT 2017)

Abstract

Modelling traffic accidents on freeways is very significant due to the fact that accidents occurring on these roads are frequent and severe and cause traffic jams. Bearing this in mind, the objective of this paper was to analyze the impact of freeway geometry and traffic characteristics on the occurrence of traffic accidents with fatalities on freeways in Serbia. The paper analyzed traffic accidents with fatalities which had on the M-1 freeway with the total length of 394 km. A regression analysis was used in the analysis of data. The developed models represent the one of the first attempt of quantifying the mentioned impacts on the freeways in Serbia. These models should contribute to the improvement of safety of the existing freeways and designing new safer freeways.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Glavić, D., Mladenović, M., Stevanovic, A, Tubić, V., Milenković, M., Vidas, M.: Contribution to accident prediction models development for rural two-lane roads in Serbia. PROMET Traffic Transp. 28(4), 415–424 (2016)

    Google Scholar 

  2. Milenkovic, M., Glavic, D., Tubic, V., Trpkovic, A.: Evaluation of the impact of the road characteristics on traffic safety. In: Proceedings of the First International Conference “Transport for Today’s Society”, Bitola, Makedonia (2016)

    Google Scholar 

  3. Chang, L.Y.: Analysis of freeway accident frequencies: negative binomial regression versus artificial neural network. Saf. Sci. 43(8), 541–557 (2005)

    Article  Google Scholar 

  4. Chang, L.Y., Chen, W.C.: Data mining of tree-based models to analyze freeway accident frequency. J. Saf. Res. 36(4), 365–375 (2005)

    Article  Google Scholar 

  5. Christoforou, Z., Cohen, S., Karlaftis, M.G.: Identifying crash type propensity using real-time traffic data on freeways. J. Saf. Res. 42(1), 43–50 (2011)

    Article  Google Scholar 

  6. Cafiso, S., D’Agostino, C.: Safety performance function for freeways using generalized estimation equations. Proc. Soc. Behav. Sci. 53, 900–909 (2012)

    Article  Google Scholar 

  7. Chang, L.Y., Chu, H.C., Lin, D.J., Lui, P.: Analysis of freeway accident frequency using multivariate adaptive regression splines. Proc. Eng. 45, 824–829 (2012)

    Article  Google Scholar 

  8. Chengye, P., Ranjitkar, P.: Modelling freeway accidents using negative binomial regression. J. East. Asia Soc. Transp. Stud. 10, 1946–1963 (2013)

    Google Scholar 

Download references

Acknowledgements

The results obtained in this paper are the product research project of the Ministry of Construction, Transport and Infrastructure of Serbia- titled: Improving the level of traffic safety on motorways’. The project is co-financed by the Ministry of Construction, Transport and Infrastructure of the Republic of Serbia and the Serbian society for roads “Via-Vita” Beograd. The authors also gratefully acknowledge the support of representatives of the Ministry of Construction, Transport and Infrastructure, Highway Institute and all of the participants who have work on this project.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Marina Milenković .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Milenković, M., Glavić, D. (2018). Analysis of Relations Between Freeway Geometry and Traffic Characteristics on Traffic Accidents. In: Hadžikadić, M., Avdaković, S. (eds) Advanced Technologies, Systems, and Applications II. IAT 2017. Lecture Notes in Networks and Systems, vol 28. Springer, Cham. https://doi.org/10.1007/978-3-319-71321-2_48

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-71321-2_48

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-71320-5

  • Online ISBN: 978-3-319-71321-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics