Open Access
| Issue |
EPJ Web Conf.
Volume 334, 2025
Traffic and Granular Flow 2024 (TGF’24)
|
|
|---|---|---|
| Article Number | 03007 | |
| Number of page(s) | 10 | |
| Section | Urban Traffic | |
| DOI | https://doi.org/10.1051/epjconf/202533403007 | |
| Published online | 12 September 2025 | |
- C. Antoniou, R. Balakrishna, H.N. Koutsopoulos, A synthesis of emerging data collection technologies and their impact on traffic management applications. Europ. Transp. Res. Rev. 3, 139-148 (2011). https://doi.org/10.1007/s12544-011-0058-1 [Google Scholar]
- A. Gerogiannis, N.W.F. Bode, Analysis of long-term observational data on pedestrian road crossings at unmarked locations. Saf. Sci. 172, 106420 (2024). https://doi.org/10.1016/j.ssci.2024.106420 [Google Scholar]
- J.M. Petersen, L.R. Ranker, R. Barnard-Mayers, R.F. MacLehose, M.P. Fox, A systematic review of quantitative bias analysis applied to epidemiological research. Int. J. Epidemiol. 50(5), 1708-1730 (2021). https://doi.org/10.1093/ije/dyab061 [Google Scholar]
- J.C. Bond, M.P. Fox, L.A. Wise, B. Heaton, Quantitative assessment of systematic bias: a guide for researchers. J. Dent. Res. 102(12), 1288-1292 (2023). https://doi.org/10.1177/00220345231193314 [Google Scholar]
- R. Gilbert, R.M. Martin, J. Donovan, J.A. Lane, F. Hamdy, D.E. Neal, C. Metcalfe, Misclassification of outcome in case-control studies: methods for sensitivity analysis. Stat. Meth. Med. Res. 25(5), 2377-2393 (2016). https://doi.org/10.1177/0962280214523192 [Google Scholar]
- M.A. Arman, C.M. Tampère, Lane-level trajectory reconstruction based on data-fusion. Transp. Res. PartC 145, 103906 (2022). https://doi.org/10.1016/j.trc.2022.103906 [Google Scholar]
- P.H. Chyou, Patterns of bias due to differential misclassification by case-control status in a case-control study. Eur. J. Epidemiol. 22, 7-17 (2007). https://doi.org/10.1007/s10654-006-9078-x [Google Scholar]
- J. Ihlström, M. Henriksson, K. Kircher, Immoral and irrational cyclists? Exploring the practice of cycling on the pavement. Mobilities 16(3), 388–403 (2021). https://doi.org/10.1080/17450101.2020.1857533 [Google Scholar]
- N. Zuniga-Garcia, N.R. Juri, K.A. Perrine, R.B. Machemehl, E-scooters in urban infrastructure: Understanding sidewalk, bike lane, and roadway usage from trajectory data. Case Stud. Transp. Policy. 9(3), 983-994 (2021). https://doi.org/10.1016/j.cstp.2021.04.004 [Google Scholar]
- C. Johnsson, A. Laureshyn, T. DeCeunynck, In search of surrogate safety indicators for vulnerable road users: a review of surrogate safety indicators, Transp. Rev. 38(6), 765-785 (2018). https://doi.org/10.1080/01441647.2018.1442888 [Google Scholar]
- R Core Team (2023), R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/, accessed 29th January 2025. [Google Scholar]
- M. Zaouche, N.W.F. Bode, Bayesian spatio-temporal models for mapping urban pedestrian traffic. J. Transp. Geogr. 111, 103647 (2023). https://doi.org/10.1016/j.jtrangeo.2023.103647 [Google Scholar]
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