• English
  • Deutsch
  • Log In
    or
  • Research Outputs
  • Projects
  • Researchers
  • Institutes
  • Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. The absolute and social comparative analysis of driver performance on a simulated road network
 
  • Details
  • Full
Options
2016
Konferenzbeitrag
Titel

The absolute and social comparative analysis of driver performance on a simulated road network

Abstract
The process of modeling a qualitative evaluation schema to gauge the driver performance is a prominent aspect in enhancing the driving standards. We have implemented a comparative analysis module to estimate the driver performance based on absolute and social comparisons. In this approach we simulated a road network of 40 vehicle users and analyzed the performance of the users by our interlinked system architecture dedicated for simulation, data sharing and representation of the entire information on Map-based user interface. Another key aspect that was performed in this approach was the usage of Map-Matching module to discard the inaccuracies in Geo-references while representing the coordinates on Google Maps. We believe, this evaluation approach will broaden the overview of performance analysis and provide more insight to the user on all grounds in improvising the driving standards.
Author(s)
Dange, Gautam R.
Univ. of Genoa, DITEN
Paranthaman, Pratheep K.
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS
Samaritani, Marco
Univ. of Genoa, DITEN
Smiai, Oussama
Univ. of Genoa, DITEN
Bellotti, Francesco
Univ. of Genoa, DITEN
Berta, Riccardo
Univ. of Genoa, DITEN
Gloria, Alessandro de
Univ. of Genoa, DITEN
Marchesoni, Mario
Univ. of Genoa, DITEN
Massucco, Stefano
Univ. of Genoa, DITEN
Pontow, Jens
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS
Hauptwerk
Games and Learning Alliance. 4th International Conference, GALA 2015
Konferenz
International Conference on Games and Learning Alliance (GALA) 2015
Thumbnail Image
DOI
10.1007/978-3-319-40216-1_42
Language
Englisch
google-scholar
FOKUS
  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Send Feedback
© 2022