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Articles

Investigation of the speeding behavior of motorcyclists through an innovative smartphone application

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Pages 460-466 | Received 31 Jul 2020, Accepted 04 May 2021, Published online: 14 Jun 2021

References

  • Albalate D, Fernández-Villadangos L. 2010. Motorcycle injury severity in Barcelona: The role of vehicle type and congestion. Traffic Inj Prev. 11(6):623–631. doi:10.1080/15389588.2010.506932
  • Dahlinger A, Tiefenbeck V, Ryder B, Gahr B, Fleisch E, Wortmann F. 2018. The impact of numerical vs. symbolic eco-driving feedback on fuel consumption – A randomized control field trial. Transp Res Part D Transp Environ. 65(September):375–386. doi:10.1016/j.trd.2018.09.013
  • de Rome L, Fitzharris M, Baldock M, Fernandes R, Ma A, Brown J. 2016. The prevalence of crash risk factors in a population-based study of motorcycle riders. Injury 47(9):2025–2033. doi:10.1016/j.injury.2016.03.033
  • ELSTAT (The Hellenic Statistical Authority) database. 2018. [accessed 2020 April 1]. https://www.statistics.gr/en/statistics/-/publication/SDT04/2018.
  • Espié S, Boubezoul A, Aupetit S, Bouaziz S. 2013. Data collection and processing tools for naturalistic study of powered two-wheelers users' behaviours. Accid Anal Prev. 58:330–339. doi:10.1016/j.aap.2013.03.012
  • European Commission. 2018. Traffic safety basic facts on motorcycles and mopeds 2018. European Commission, Directorate General for Transport. [accessed 2020 April 10]. https://ec.europa.eu/transport/road_safety/sites/roadsafety/files/pdf/statistics/dacota/bfs2018_motomoped.pdf.
  • Gu W, Zhou Z, Liu Y, Spanos CJ, Zhou Y, Zhang L. 2017. BikeSafe: Bicycle behavior monitoring via smartphones. In: UbiComp '17: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, September 2017. p. 45–48. doi:10.1145/3123024.3123158
  • Hsieh CH, Tsai HM, Yang SW, Lin SD. 2014. Predict scooter’s stopping event using smartphone as the sensing device. In: 2014 IEEE International Conference on Internet of Things(iThings), and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom). p. 17–23. doi:10.1109/iThings.2014.12
  • Johnson P, Brooks C, Savage H. 2008. Fatal and serious road crashes involving motorcyclists (No. Monograph 20).
  • Lin MR, Kraus JF. 2009 Jul. A review of risk factors and patterns of motorcycle injuries. Accid Anal Prev. 41(4):710–722. doi:10.1016/j.aap.2009.03.010
  • Otte D, Jänsch M, Haasper C. 2012 Jan. Injury protection and accident causation parameters for vulnerable road users based on German In-Depth Accident Study GIDAS. Accid Anal Prev. 44(1):149–153. doi:10.1016/j.aap.2010.12.006
  • Petraki V, Ziakopoulos A, Yannis G. 2020 Sep. Combined impact of road and traffic characteristic on driver behavior using smartphone sensor data. Accid Anal Prev. 144:105657. doi:10.1016/j.aap.2020.105657
  • Soriguera F, Miralles E. 2016. Driver feedback mobile app. Transp Res Proc. 18:264–271. doi:10.1016/j.trpro.2016.12.036
  • Stanglmayr M, Bäumler M. 2020. Towards Safer Rides: Measuring Motorcycle Dynamics with Smartphones. Paper presented at the 13th International Motorcycle Conference; October 5–6, Cologne, Germany. doi: 10.26128/2020
  • Theofilatos A, Yannis G. 2015. A review of powered-two-wheeler behaviour and safety. Int J Inj Contr Saf Promot. 22(4):284–307. doi:10.1080/17457300.2014.908224
  • Theofilatos A, Ziakopoulos A. 2018. Examining injury severity of moped and motorcycle occupants with real-time traffic and weather data. J Transp Eng Part A: Syst. 144(11):04018066. doi:10.1061/JTEPBS.0000193
  • Toledo G, Shiftan Y. 2016. Can feedback from in-vehicle data recorders improve driver behavior and reduce fuel consumption? Transp Res Part A: Policy Pract. 94:194–204. doi:10.1016/j.tra.2016.09.001
  • Tselentis DI, Vlahogianni EI, Yannis G. 2019. Driving safety efficiency benchmarking using smartphone data. Transp Res Part C: Emerg Technol. 109:343–357. doi:10.1016/j.trc.2019.11.006
  • Tselentis D, Kostoulas G, Kontonasios K-N, Fortsakis P, Yannis G. 2020. Driver feedback during naturalistic driving experiments: A review of types, methods and future challenges. Paper presented at Transport Research Arena Conference (TRA); April 27–30, Helsinki, Finland.
  • Vlahogianni EI, Yannis G, Golias JC. 2012 Nov. Overview of critical risk factors in Power-Two-Wheeler safety. Accid Anal Prev. 49:12–22. doi:10.1016/j.aap.2012.04.009
  • Will S, Metz B, Hammer T, Mörbe M, Henzler M, Harnischmacher F, Matschl G. 2020. Methodological considerations regarding motorcycle naturalistic riding investigations based on the use of g-g diagrams for rider profile detection. Saf Sci. 129(April):104840. doi:10.1016/j.ssci.2020.104840
  • Williams V, McLaughlin S, Atwood J, Buche T. 2016. Factors that Increase and Decrease Motorcyclist Crash Risk. Motorcycle Safety Foundation, Virginia.
  • Ziakopoulos A, Theofilatos A, Yannis G, Margaritis D, Thomas P, Morris A, Brown L, Robibaro M, Usami DS, Phan V, et al. 2018. A preliminary analysis of in-depth accident data for powered two-wheelers and bicycles in Europe. Paper presented at the International Research Council on the Biomechanics of Impacts (IRCOBI); September 12, Athens, Greece.

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