Towards a parameter tuning approach for a map-matching algorithm

Resultado de la investigación: Conference contribution

1 Cita (Scopus)

Resumen

Map Matching Algorithms (MMA) are developed to solve spatial ambiguities that arise in the process of assigning GPS measurements onto a digital roadway network. There is a lack of systematic parameter tuning approaches for optimizing the MMA performance. Thus, a novel integrated framework is proposed for a systematic calibration of the parameters of a post-processing MMA. The calibration approach consists of an Instance-specific Parameter Tuning Strategy (IPTS) that employs Fuzzy Logic principles. The proposed fuzzy IPTS tool determines the best algorithm parameter values by using instance-specific information a priori to the execution of the MMA. A preliminary prototype of an IPTS system is designed based on real-world data, which identifies the explanatory variables that condition the MMA performance. The implementation of the fuzzy IPTS tool on real-word data yields an enhanced MMA performance in the solution quality and computational time compared to the results of the execution of the MMA with constant algorithm settings.

Idioma originalEnglish
Título de la publicación alojada2017 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2017
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas85-90
Número de páginas6
ISBN (versión digital)9781509056774
DOI
EstadoPublished - 25 jul 2017
Evento2017 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2017 - Vienna, Austria
Duración: 27 jun 201728 jun 2017

Conference

Conference2017 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2017
PaísAustria
CiudadVienna
Período27/06/1728/06/17

Huella dactilar

Map Matching
Parameter Tuning
Matching Algorithm
Tuning
Calibration
Post-processing
Fuzzy Logic
Prototype
Fuzzy logic
Global positioning system
Strategy

ASJC Scopus subject areas

  • Automotive Engineering
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

Citar esto

Blazquez, C. A., Ries, J., & Miranda, P. A. (2017). Towards a parameter tuning approach for a map-matching algorithm. En 2017 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2017 (pp. 85-90). [7991906] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICVES.2017.7991906
Blazquez, Carola A. ; Ries, Jana ; Miranda, Pablo A. / Towards a parameter tuning approach for a map-matching algorithm. 2017 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 85-90
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abstract = "Map Matching Algorithms (MMA) are developed to solve spatial ambiguities that arise in the process of assigning GPS measurements onto a digital roadway network. There is a lack of systematic parameter tuning approaches for optimizing the MMA performance. Thus, a novel integrated framework is proposed for a systematic calibration of the parameters of a post-processing MMA. The calibration approach consists of an Instance-specific Parameter Tuning Strategy (IPTS) that employs Fuzzy Logic principles. The proposed fuzzy IPTS tool determines the best algorithm parameter values by using instance-specific information a priori to the execution of the MMA. A preliminary prototype of an IPTS system is designed based on real-world data, which identifies the explanatory variables that condition the MMA performance. The implementation of the fuzzy IPTS tool on real-word data yields an enhanced MMA performance in the solution quality and computational time compared to the results of the execution of the MMA with constant algorithm settings.",
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Blazquez, CA, Ries, J & Miranda, PA 2017, Towards a parameter tuning approach for a map-matching algorithm. En 2017 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2017., 7991906, Institute of Electrical and Electronics Engineers Inc., pp. 85-90, 2017 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2017, Vienna, Austria, 27/06/17. https://doi.org/10.1109/ICVES.2017.7991906

Towards a parameter tuning approach for a map-matching algorithm. / Blazquez, Carola A.; Ries, Jana; Miranda, Pablo A.

2017 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 85-90 7991906.

Resultado de la investigación: Conference contribution

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Blazquez CA, Ries J, Miranda PA. Towards a parameter tuning approach for a map-matching algorithm. En 2017 IEEE International Conference on Vehicular Electronics and Safety, ICVES 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 85-90. 7991906 https://doi.org/10.1109/ICVES.2017.7991906