A drivers' performance assessment model based on fuel economy measurements

Jenny Díaz Ramírez, José Ignacio Huertas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Currently, it is a common practice within transport companies to reduce fuel consumption of their fleet by awarding best drivers with public symbolic recognitions, as part of their programs to promote efficient driving. Usually fuel economy (FE) is the key performance indicator used to evaluate them. However, FE depends on several other parameters such as the working route, vehicle weight and vehicle technology. Therefore, companies with a diverse fleet composition require a fair KPI to select their best drivers. In this work, we present a model to assess drivers' performance based on FE measurements. Based on multivariate statistical analysis of one-year FE data of an urban and interurban bus transit company, we found that drivers' FE exhibit a normal distribution when they are grouped within three categories: (a) the route, representing the driving cycle; (b) the vehicle age, representing the engine technology, and (c) the number of axles, representing the weight of the vehicle. Thus, the standard statistical analysis to identify outliers was used to identify best drivers and vehicles that require maintenance.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Industrial Engineering and Operations Management
PublisherIEOM Society
Pages457-458
Number of pages2
Volume2019
EditionMAR
Publication statusPublished - Mar 2019
Event9th International Conference on Industrial Engineering and Operations Management, IEOM 2019 - Bangkok, Thailand
Duration: 5 Mar 20197 Mar 2019

Publication series

NameProceedings of the International Conference on Industrial Engineering and Operations Management

Conference

Conference9th International Conference on Industrial Engineering and Operations Management, IEOM 2019
CountryThailand
CityBangkok
Period5/3/197/3/19

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All Science Journal Classification (ASJC) codes

  • Strategy and Management
  • Management Science and Operations Research
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

Cite this

Ramírez, J. D., & Huertas, J. I. (2019). A drivers' performance assessment model based on fuel economy measurements. In Proceedings of the International Conference on Industrial Engineering and Operations Management (MAR ed., Vol. 2019, pp. 457-458). (Proceedings of the International Conference on Industrial Engineering and Operations Management). IEOM Society.