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Title:

Study on the Influence of Driving Distraction on Traffic Flow considering the Stochastic Duration Time of Distraction

Accession Number:

01590566

Record Type:

Component

Abstract:

Driving distraction, which becomes more and more common in driving and lasts for stochastic duration time, has not been seriously considered in traffic flow model. This paper studied the distribution of distraction duration time and the influence of distraction on traffic flow characteristics. The relationship among distraction duration time, probability of distraction occurrence and proportion of distraction is established by stochastic model. Then a modified optimal velocity model was proposed to simulate a two-lane road, taking the effect of distraction behavior into account. The results suggest that distraction behavior has significant negative influence on traffic flow rate and increases the lane changing frequency. Short-time distraction seems to have smaller impact on traffic flow than long-time distraction. This model simulates the distraction behavior very well and distracted drivers have lower mean speed, lower lane changing frequency, longer headway and are overtaken by more vehicles in simulation. This study provided a good model to analyze distraction behavior in traffic flow and pointed out an important factor affecting the traffic flow efficiency.

Supplemental Notes:

This paper was sponsored by TRB committee AND30 Standing Committee on Simulation and Measurement of Vehicle and Operator Performance. Alternate title: Influence of Driving Distraction on Traffic Flow Considering Stochastic Duration Time of Distraction

Monograph Accession #:

01584066

Report/Paper Numbers:

16-1277

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Xiao, Yao
Shi, Jing

Pagination:

15p

Publication Date:

2016

Conference:

Transportation Research Board 95th Annual Meeting

Location: Washington DC, United States
Date: 2016-1-10 to 2016-1-14
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References

Subject Areas:

Highways; Operations and Traffic Management; Planning and Forecasting; Safety and Human Factors; I72: Traffic and Transport Planning; I83: Accidents and the Human Factor

Source Data:

Transportation Research Board Annual Meeting 2016 Paper #16-1277

Files:

TRIS, TRB, ATRI

Created Date:

Jan 12 2016 4:34PM