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Title:

Identifying and Analyzing Extreme Lane Change Events Using Basic Safety Messages in a Connected Vehicle Environment

Accession Number:

01658941

Record Type:

Component

Abstract:

As lane change maneuvers are fundamental to traffic flow and safety, this study focuses on microscopic driver-level instantaneous decisions regarding situations where drivers make lane change maneuvers, especially extreme lane change events on various roadway types. A sub-sample of 1,940,678 Basic Safety Message (BSM) records of 192 randomly-selected trips (10 minutes or longer) from 64 drivers are analyzed from connected vehicles participating in Safety Pilot Model Deployment in Michigan. Since BSMs describe a vehicle’s operation and performance, lane changes are identified based on multiple criteria, including vehicle position (i.e., a sharp change in distance of a vehicle’s centerline relative to lane boundary) and lane crossings recorded by on-board units (i.e., when a vehicle crosses a lane marker). Extreme lane change events are then identified as those where lateral acceleration exceeds the 95th percentile threshold at the initiation and before the end of the lane change maneuver. A total of 654 lane changes and 128 extreme lane changes were identified in the data. On average, the test vehicles generated 3.4 lane changes (0.67 extreme lane changes) with trip duration averaging 20 minutes. Modeling results show that subject drivers are likely to make more lane change maneuvers if a front object is present in the travel path and relative speed vis-a-vis front vehicle is low. Based on the analysis of data, early warnings can be generated to help drivers make more informed driving decisions about avoiding potential risks from extreme lane changes, through the application of connected vehicle technologies.

Supplemental Notes:

This paper was sponsored by TRB committee AHB30 Standing Committee on Vehicle-Highway Automation.

Report/Paper Numbers:

18-04734

Language:

English

Authors:

Zhang, Meng
Khattak, Asad J

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:

Figures; References

Subject Areas:

Data and Information Technology; Highways; Safety and Human Factors; Vehicles and Equipment

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-04734

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 11:10AM