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Considering Traffic and Roadway Context in Driver Behavior Assessments: A Preliminary Analysis

Published: 24 October 2016 Publication History

Abstract

Driver behavior assessments involve calculating a driving score by counting the number of "negative" driving maneuvers (i.e., hard brake and rapid acceleration), but do not take the effects of driving context into account. This paper demonstrates the correlation between driving performance and traffic and roadway context. It helps to pave the path for future research on integrating driving context into driver behavior assessments to better estimate risk of driving.

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Ioerger, T., Meeks, J., & Nelson, P., (2001). Investigation of density and flow relationships in congested traffic with videogrammetric data. Transportation Research Record: Journal of the Transportation Research Board 1776, 167--177.
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Cited By

View all
  • (2024)Exploring Urban Challenges: Understanding Advanced Driver Assistance Systems in Different Situational ContextsProceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3640792.3675709(1-12)Online publication date: 22-Sep-2024
  • (2021)Investigation of Bus Drivers’ Reaction to ADAS Warning System: Application of the Gaussian Mixed ModelSustainability10.3390/su1316875913:16(8759)Online publication date: 5-Aug-2021
  • (2020)THE USE OF VEHICLE DATA IN ADAS DEVELOPMENT, VERIFICATION AND FOLLOW-UP ON THE SYSTEMProceedings of the Design Society: DESIGN Conference10.1017/dsd.2020.3221(2551-2560)Online publication date: 11-Jun-2020
  • Show More Cited By

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  1. Considering Traffic and Roadway Context in Driver Behavior Assessments: A Preliminary Analysis

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      cover image ACM Other conferences
      AutomotiveUI '16 Adjunct: Adjunct Proceedings of the 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
      October 2016
      245 pages
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 24 October 2016

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      Author Tags

      1. Brake and Acceleration
      2. Correlation Matrix
      3. Driver Behavior Assessment
      4. Driving Context
      5. Vehicle Telematics

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      AutomotiveUI'16

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      Overall Acceptance Rate 248 of 566 submissions, 44%

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      Cited By

      View all
      • (2024)Exploring Urban Challenges: Understanding Advanced Driver Assistance Systems in Different Situational ContextsProceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3640792.3675709(1-12)Online publication date: 22-Sep-2024
      • (2021)Investigation of Bus Drivers’ Reaction to ADAS Warning System: Application of the Gaussian Mixed ModelSustainability10.3390/su1316875913:16(8759)Online publication date: 5-Aug-2021
      • (2020)THE USE OF VEHICLE DATA IN ADAS DEVELOPMENT, VERIFICATION AND FOLLOW-UP ON THE SYSTEMProceedings of the Design Society: DESIGN Conference10.1017/dsd.2020.3221(2551-2560)Online publication date: 11-Jun-2020
      • (2018)A Context-Aware Evaluation Method of Driving BehaviorAdvances in Knowledge Discovery and Data Mining10.1007/978-3-319-93034-3_37(462-474)Online publication date: 19-Jun-2018

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