Analysis of speeding practice on high-speed roads from naturalistic driving data

Authors

  • Alexandre Schipitoski Monteiro Universidade Federal do Paraná
  • Jorge Bastos Universidade Federal do Paraná

DOI:

https://doi.org/10.58922/transportes.v32i1.2910

Keywords:

Speeding, Naturalistic Driving Study, Speed electronic enforcement, High-speed road

Abstract

Speed control is a challenge for urban management aimed at reducing traffic deaths and injuries. The objective of this paper was to evaluate the influence of operational characteristics in the occurrence of speeding on the high-speed roads of Curitiba (PR). The methodology was based on the use of naturalistic driving data and the application of binary logistic regression to investigate the relationship between road operational characteristics (explanatory variables) and speeding (response variable). The overall result indicates the practice of speeding during 20.64% of the travel time in free flow. The isolated analysis of the explanatory variables indicated that the presence of radar increased the chance of not speeding between 8.16 and 21.09 times for situations of any excess and above 20% of the limit, respectively. The joint analysis of the explanatory variables was statistically significant for the presence of radar and the presence of traffic lights, with the first reducing by 9.55 times and the second increasing by approximately 30% the chance of speeding. This result demonstrates the importance of electronic speed enforcement as part of the speed management strategy in urban areas.

Downloads

Download data is not yet available.

Downloads

Published

2024-04-16

How to Cite

Schipitoski Monteiro, A., & Bastos, J. (2024). Analysis of speeding practice on high-speed roads from naturalistic driving data. TRANSPORTES, 32(1). https://doi.org/10.58922/transportes.v32i1.2910

Issue

Vol. 32 No. 1 (2024)

Section

Artigos

License

Copyright (c) 2024 Alexandre Schipitoski Monteiro, Jorge Bastos

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors who submit papers for publication by TRANSPORTES agree to the following terms:

  1. Authors retain copyright and grant TRANSPORTES the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

  2. Authors may enter into separate, additional contractual arrangements for the non-exclusive distribution of this journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in TRANSPORTES.

  3. Authors are allowed and encouraged to post their work online (e.g., in institutional repositories or on their website) after publication of the article. Authors are encouraged to use links to TRANSPORTES (e.g., DOIs or direct links) when posting the article online, as TRANSPORTES is freely available to all readers.

  4. Authors have secured all necessary clearances and written permissions to published the work and grant copyright under the terms of this agreement. Furthermore, the authors assume full responsibility for any copyright infringements related to the article, exonerating ANPET and TRANSPORTES of any responsibility regarding copyright infringement.

  5. Authors assume full responsibility for the contents of the article submitted for review, including all necessary clearances for divulgation of data and results, exonerating ANPET and TRANSPORTES of any responsibility regarding to this aspect.