A hybrid approach for identifying factors affecting driver reaction time using naturalistic driving data-Reference-Cited by-同舟云学术

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A hybrid approach for identifying factors affecting driver reaction time using naturalistic driving data

Published:2019-03 Issue: Volume:100 Page:107-124
ISSN:0968-090X
Container-title:Transportation Research Part C: Emerging Technologies
language:en
Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Arbabzadeh Nasim^ORCID,Jafari Mohsen,Jalayer Mohammad,Jiang Shan,Kharbeche Mohamed

Funder

U.S. Department of Transportation

Office of the Secretary of Transportation

Office of the Assistant Secretary for Research and Technology

Qatar National Research Fund

Publisher

Elsevier BV

Subject

Computer Science Applications,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference27 articles.

1. A car-following model relating reaction times and temporal headways to accident frequency;Brill;Transp. Sci.,1972

2. Personalized driver/vehicle lane change models for ADAS;Butakov;IEEE Trans. Veh. Technol.,2015

3. Use of naturalistic driving data to characterize driver behavior in freeway shockwaves;Chatterjee;Transp. Res. Rec.: J. Transp. Res. Board,2014

4. Feature selection in robust clustering based on Laplace mixture;Cord;Pattern Recogn. Lett.,2006

5. Outline for a causal model of traffic conflicts and crashes;Davis;Accid. Anal. Prev.,2011

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