TRB Pubsindex
Text Size:
x

« Prev Next »

Return to Results | New Search

Bookmark and Share

Title:

Identifying Intra-Personal Heterogeneity of Driver Behavior from Taxi GPS Traces

Accession Number:

01663097

Record Type:

Component

Abstract:

The mental state of driver is highly dynamic and will exhibit both intra- and inter-individual differences even in response to tightly controlled experimental stimuli. The role of mental state in intervening behavioral outcome is frequently overlooked due to the limitation of data and random nature of mental state. In this research, the intra-personal heterogeneity of driver was identified based on tremendous Floating Car Data (FCD) data. The indirect effect of traffic delay on driving speed adjustment through the mental state of driver was tested through the mediation process. The driver type, value of time and working hour were incorporated in the moderated mediation process. It was found that the state aggressiveness was the mediator of the influence of travel delays on driving speed preference and the mediation role was different across driver types. The normal drivers and quiet drivers tended to behave more aggressively after experiencing frustrating traffic delays. And the more hours they worked, the more aggressive behavior they would exhibit. However, the influence of congestion-related delays and working hours on aggressive drivers were not as great as on quiet drivers and normal drivers. Besides, when the value of time was high, quiet drivers tended to behave more aggressively while other types of drivers would not be affected significantly. The validation results indicate that compared to the existing methods, the model incorporating intra-personal heterogeneity can better predict travel time in different time periods. It also has reasonable prediction results of aggressive behaviors, such as maximum speed and standard deviation of speed.

Supplemental Notes:

This paper was sponsored by TRB committee ADB10 Standing Committee on Traveler Behavior and Values.

Report/Paper Numbers:

18-06627

Language:

English

Authors:

Huang, Yizhe
Sun, Daniel (Jian)
Zhang, Li-Hui

Pagination:

5p

Publication Date:

2018

Conference:

Transportation Research Board 97th Annual Meeting

Location: Washington DC, United States
Date: 2018-1-7 to 2018-1-11
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures

Geographic Terms:

Shanghai (China)

Subject Areas:

Highways; Planning and Forecasting; Safety and Human Factors

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-06627

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 11:43AM