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Title:

Vehicle Lane Encroachment When Drivers Overtaking Bicyclists - An Examination Using Naturalistic Driving Data

Accession Number:

01663349

Record Type:

Component

Abstract:

This paper investigates vehicle encroachment to left side lane when drivers overtaking bicyclists using data from an existing large-scale naturalistic driving study. The vehicle lane encroachment at the time of the overtaking was extracted from a vision-based Mobileye® system equipped in the instrumented vehicles. The examined effects include (1) vehicle left side lane marking types (e.g., solid center line, dashed center line, center left-turn lane line), (2) bike lane types (road edge or curb, marked bike lane, paved shoulder), and (3) presence of traffic. A total of 1,979 overtaking events were examined. The results show that drivers made significantly larger encroachment to the left lane when there was only road edge/curb compared to when there was a marked bike lane or paved shoulder. The largest encroachments were made with center left-turn lane line and road edge/curb. Traffic conditions play a significant role in the lane encroachment, especially in the absence of a marked bike lane. It is also found that the roads with dashed line with same direction traffic on the left (typically a two-way four-lane road) are associated with significantly less encroachment than the roads with solid center line in the condition of both marked bike lanes and paved shoulders. This work may provide objective data and insights into the characteristics of drivers’ lateral maneuver of the vehicle when interacting with bicyclists and could be potentially used to support the designs of better road infrastructures and in-vehicle safety systems that aim to improve the safety of all road users.

Supplemental Notes:

This paper was sponsored by TRB committee ANF20 Standing Committee on Bicycle Transportation. Alternate title: Vehicle Lane Encroachment When Drivers Overtake Bicyclists: An Examination Using Naturalistic Driving Data

Report/Paper Numbers:

18-06555

Language:

English

Authors:

Feng, Fred
Bao, Shan
Delp, Michael

Pagination:

4p

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:

References

Uncontrolled Terms:

Subject Areas:

Highways; Operations and Traffic Management; Pedestrians and Bicyclists; Safety and Human Factors

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-06555

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 11:41AM