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Title:

Harnessing Basic Safety Messages to Identify High-Risk Hotspots for Transit Buses

Accession Number:

01763511

Record Type:

Component

Abstract:

With automation and connectivity technologies, new possibilities are emerging for using large-scale data for novel applications in personal and transit vehicles. Recently deployed connected buses in the US receive Basic Safety Message (BSM) data that are intended to help bus drivers avoid crashes. The objectives of this research are two-fold: to visually understand how BSM alerts have occurred in crash hotspots and investigate the associations between bus crash locations and BSM alert locations. GIS Hotspot analysis is conducted, followed by the estimation of rigorous Poisson and Negative Binomial regression models that quantify the correlations of various factors, especially BSMs with observed crash frequency. A publicly available six months' worth of BSM data of 24 connected buses and Crash statistics of Cuyahoga county, Ohio are used for the analysis. The study area is divided into a grid network with each grid being 350’x350’ in size. Number of crashes, BSM alerts, and average road width are calculated for each grid. Four speed volatility measures that quantify variations in driving behavior are also estimated for the grids. Regression models are applied on two sample sizes of grids (n=389 and N = 8427 grids). The models of the smaller sample size showed association between volatility and crash frequencies, but not with BSMs. The models of larger sample size revealed positive spatial relationship between crash frequency and BSM frequencies across locations. The Negative Binomial model performed better in predicting the associations. Implications and future research directions are also provided.

Supplemental Notes:

This paper was sponsored by TRB committee AP080 Standing Committee on Transit Safety And Security.

Report/Paper Numbers:

TRBAM-21-03606

Language:

English

Corporate Authors:

Transportation Research Board

Authors:

Haque, Antora Mohsena
Arvin, Ramin
Khattak, Asad

Pagination:

18p

Publication Date:

2021

Conference:

Transportation Research Board 100th Annual Meeting

Location: Washington DC, United States
Date: 2021-1-5 to 2021-1-29
Sponsors: Transportation Research Board; Transportation Research Board

Media Type:

Digital/other

Features:

Figures; Maps; References (32) ; Tables

Subject Areas:

Public Transportation; Safety and Human Factors; Vehicles and Equipment

Source Data:

Transportation Research Board Annual Meeting 2021 Paper #TRBAM-21-03606

Files:

TRIS, TRB, ATRI

Created Date:

Dec 23 2020 11:03AM