01657953

Component

Real-time safety analysis has become a hot research topic as it can reveal the relationship between real-time traffic characteristics and crash occurrence more accurately, and these results could be applied to improve active traffic management systems and enhance safety performance. Most of the previous studies have been applied to freeways and seldom to arterials. Therefore, this study attempts to examine the relationship between crash occurrence and real-time traffic and weather characteristics based on four urban arterials in Central Florida. Considering the substantial difference between the interrupted traffic flow on urban arterials and the free flow on freeways, the adaptive signal phasing was also introduced in this study. Bayesian conditional logistic models were developed by incorporating the Bluetooth, adaptive signal control, and weather data, which were extracted for a period of 20 minutes (four 5-minute interval) before the time of crash occurrence. Model comparison results indicate that the model based on 5-10 minute interval dataset is the most appropriate model. It reveals that the average speed, upstream volume, and rainy weather indicator were found to have significant effects on crash occurrence. Furthermore, both Bayesian logistic and Bayesian random effects logistic models were developed to compare with the Bayesian conditional logistic model, and the Bayesian conditional logistic model was found to be much better than the other two models. These results are important in real-time safety applications in the context of Integrated Active Traffic Management.

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

18-00590

English

0000-0001-7901-3995

8p

2018

Transportation Research Board 97th Annual Meeting

Digital/other

Figures; References; Tables

Adaptive control; Arterial highways; Bluetooth technology; Crash risk forecasting; Real time information; Risk analysis; Signalization; Traffic crashes; Traffic signal phases; Urban highways; Weather conditions

Central Florida

Data and Information Technology; Environment; Highways; Operations and Traffic Management; Safety and Human Factors

Transportation Research Board Annual Meeting 2018 Paper #18-00590

TRIS, TRB, ATRI

Jan 8 2018 10:09AM