01698149

Component

Adaptive signal control technology (ASCT) is an intelligent transportation systems (ITS) technology that optimizes signal timings in real time to improve corridor flow. While several past studies have examined the impact of ASCT on crash frequency, little is known about its effect on injury severity outcomes. This paper used ordered probit models to estimate the injury severity outcomes resulting from ASCT deployment using 8 years of crash data from 42 intersections in Pennsylvania and 11 years of crash data from 49 intersections in Virginia. A unique aspect of this data was the availability of before and after deployment characteristics for two different ASCT technologies. The estimation results revealed that both ASCT systems were associated with a reduced propensity for injury crashes. The best fit model also revealed a similar trend towards reductions in severe crashes. This model performed well on validation data with low forecast error of 0.301 and was also observed to be spatially transferable. These results encourage the consideration of ASCT deployments at intersections with high crash severities and have practical implications for aiding agencies in making future deployment decisions about ASCT.

This paper was sponsored by TRB committee ANB20 Standing Committee on Safety Data, Analysis and Evaluation.

19-04637

English

0000-0002-8184-5157

8p

2019

Transportation Research Board 98th Annual Meeting

Digital/other

References; Tables

Adaptive control; Crash data; Crash severity; Intersections; Mathematical models; Signalization

Pennsylvania; Virginia

Data and Information Technology; Highways; Operations and Traffic Management

Transportation Research Board Annual Meeting 2019 Paper #19-04637

TRIS, TRB, ATRI

Dec 7 2018 9:47AM