Crash Frequency Minimization with Severity Mitigation in Road Geometric Design Using Chance Constraint Programming Optimization

Crash frequency and crash severity are two major aspects of transportation safety. In this paper, we propose a decision-making scheme combining statistical analysis optimization modeling to be used in safety study. We conduct analysis, travel speed an develop two-stage decision minimize while mitigating severity, using data collected urban environments Lincoln, Nebraska. the study impact lane width other related road geometric design parameters on annual vehicle count models linear regression models, respectively. proposed stochastic programming model determines first stage, then posted limit second stage for each scenario. To mitigate use chance constraint restrict certain percentile comply with limit. This is shown effective Nebraska, when restricting up positive standard deviations from mean under The application that utilizes results serves as innovative effectively connects studies Its objective simultaneously severity. methodology has extensive potential various assist reduction both