Model for Calculating Average Vehicle Mileage for Different Vehicle Classes Based on Real Data: A Case Study of Croatia

  • Goran Pejić Center for Vehicles of Croatia, Faculty of Mechanical Engineering and Naval Architecture (Zagreb)
  • Franjo Bijelić Center for Vehicles of Croatia, Faculty of Mechanical Engineering and Naval Architecture (Zagreb)
  • Goran Zovak Center for Vehicles of Croatia
  • Zoran Lulić Faculty of Mechanical Engineering and Naval Architecture (Zagreb)
Keywords: average vehicle mileage, mileage model, periodic technical inspection


Mileage data collected via surveys based on self-estimation, reports from garages and other sources which use estimations are rough estimates and differ greatly from the actual mileage. Vehicle mileage is a major factor in emission calculations and needs to be as accurate as possible to obtain reliable emission models. Odometer readings are collected annually at the periodic technical inspection in Croatia. Average mileage data were analyzed for vehicles up to 20 years of age in 2017. Vehicles were classified by curb weight and fuel type. Such classification proved to follow driver behavior and the intended purpose of the vehicle. For each vehicle class the model was applied using vehicle age and population size as inputs for calculating average mileage. Real data show that vehicles in Croatia considerably exceed the estimated mileage in the years following the first registration of the vehicle and that they cannot be compared to data collected in other studies based on estimations. The difference lies in the covered mileage after vehicles reach ten years of age. The outcome of this study has resulted in a model for calculating average vehicle mileage. The model is suitable for use in various analyses for Croatia or for countries with similar driving habits and economic status now and for years to come.

Author Biography

Franjo Bijelić, Center for Vehicles of Croatia, Faculty of Mechanical Engineering and Naval Architecture (Zagreb)

Franjo Bijelić is a vehicle inspection associate at Center for Vehicles of Croatia and a PHD student at The Faculty of Mechanical Engineering and Naval Architecture in Zagreb. He is interested in road vehicle technology and traffic safety.


[1] European Commission. EU transport in figures - Statistical pocketbook 2016. Luxembourg: Publications Office of the European Union; 2016. Available from: doi:10.2832/809634
[2] Rešetar M, Pejić G, Ilinčić P, Lulić Z. The influence of passenger car population and their activities on NOX and PM emissions (Data from Croatia). 22nd International Transport and Air Pollution Conference, 15-16 November 2017, Zürich, Switzerland; 2017. p. 211-216.
[3] De Ceuster G, et al. TREMOVE: Service contract for the further development and application of the transport and environmental TREMOVE model Lot 1 (Improvement of the data set and model structure. Brussel-Belgium; 2007.
[4] European Commission. Update and further development of transport model TREMOVE – FINAL REPORT, Brussel-Belgium, 2010.
[5] Wilson RE, Anable J, Cairns S, Chatterton T, Notley S, Lees-Miller JD. On the estimation of temporal mileage rates. Procedia – Social and Behavioral Sciences. 2013;80: 139-156. Available from: doi:10.1016/j.sbspro.2013.05.010
[6] Fridstrøm L, Østli V, Johansen KW. A stock-flow cohort model of the national car fleet. Eur. Transp. Res. Rev. 2016;8: 22. Available from: doi:10.1007/s12544-016-0210-z
[7] Caserini S, Pastorello C, Gaifami P, Ntziachristos L. Impact of the dropping activity with vehicle age on air pollutant emissions. Atmospheric Pollution Research. 2013;4(3): 282-289. Available from: doi:10.5094/APR.2013.031
[8] Litman T. Victoria Transport Policy Institute Distance-Based Vehicle Insurance Feasibility, Costs and Benefits Comprehensive Technical Report, 2001.
[9] Williams V, McLaughlin S, McCall R, Buche T. Motorcyclists' self-reported riding mileage versus actual riding mileage in the following year. Journal of Safety Research. 2017;63: 121-126. Available from: doi:10.1016/j.jsr.2017.10.004
[10] Winslott Hiselius L, Smidfelt Rosqvist L. Segmentation of the current levels of passenger mileage by car in the light of sustainability targets – The Swedish case. Journal of Cleaner Production. 2018;182: 331-337. Available from: doi:10.1016/j.jclepro.2018.02.072
[11] CVH database. - “access to information”; 2018.
[12] Regulation (EEC) No 4064/89 – Merger Procedure. Case No COMP/M.1406 - HYUNDAI/KIA; 1999. Available from:
[13] EUR-Lex. Directive 2007/46/EC of the European Parliament and of the Council. Official Journal of the European Union; 2007. Available from:
[14] Methodology for the calculation of exhaust emissions – SNAPs 070100-070500, NFRs 1A3bi-iv. COPERT Manual.
[15] Mickūnaitis V, Pikūnas A, Mackoit I. Reducing fuel consumption and CO2 emission in motor cars. Transport. 2007;22(3): 160-163. Available from: doi:10.1080/16484142.2007.9638119
[16] Trost T, Sterner M, Bruckner T. Impact of electric vehicles and synthetic gaseous fuels on final energy consumption and carbon dioxide emissions in Germany based on long-term vehicle fleet modelling. Energy. 2017;141: 1215-1225. Available from: doi:10.1016/
How to Cite
Pejić G, Bijelić F, Zovak G, Lulić Z. Model for Calculating Average Vehicle Mileage for Different Vehicle Classes Based on Real Data: A Case Study of Croatia. Promet - Traffic & Transportation [Internet]. 19Apr.2019 [cited 25May2019];31(2):213-22. Available from: