A Framework to Enhance the Transferability of the SHRP2 Naturalistic Driving Study by Considering Heterogeneity of Driver Behavior Using Spatial-Temporal Factors in a Trajectory Level

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A Framework to Enhance the Transferability of the SHRP2 Naturalistic Driving Study by Considering Heterogeneity of Driver Behavior Using Spatial-Temporal Factors in a Trajectory Level

Ghasemzadeh, Ali / Ahmed, Mohamed M.

It is known that both spatial and temporal features of roadway environment can affect driver performance and behavior, which might also impact the risk of crashes. One of the most important research questions in the field of naturalistic driving study (NDS) is how the results obtained from the NDS for a specific temporal and geographical location can be transferred to other locations without introducing a bias related to the inter-driver and intra-driver heterogeneity. Hence, this study utilized a high-resolution data obtained from the SHRP2 NDS to develop a framework for capturing inherent effects of driver-behavioral factors on driver behavior and performance. The data collected from 144 drivers 16–84 years old in New York, equivalent to 200 hours and 19,200 km of driving, to examine the effectiveness of the developed method. In order to control for spatial and temporal effects, a methodology was developed in a way that similar observations, in case of spatial and temporal characteristics, were categorized and analyzed together. The results revealed that there was less intra-driver variability in speeding, lane keeping, and acceleration/deceleration behaviors when taking into account spatial and temporal characteristics, which shows the effectiveness of the developed methods to increase the transferability of the NDS results worldwide.

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Title :

A Framework to Enhance the Transferability of the SHRP2 Naturalistic Driving Study by Considering Heterogeneity of Driver Behavior Using Spatial-Temporal Factors in a Trajectory Level

Contributors:

Ghasemzadeh, Ali (author) / Ahmed, Mohamed M. (author)

Published in:

2018 21st International Conference on Intelligent Transportation Systems (ITSC) ; 1826-1833

Publication date :

2018-11-01

Size :

335778 byte

ISBN :

978-1-7281-0321-1 , 978-1-7281-0323-5 , 978-1-7281-0322-8

ISSN :

2153-0017