Abstract
In this article, the safety implication of freeway exit ramps is examined using a newly developed conflict-based safety metric. A multi-step Monte Carlo simulation procedure is proposed to estimate...
Highlights
Freeway ramps are potentially crash-prone area, where a large number of merging and diverging movements occur.[1]
The conflict information can be directly extracted from surrogate safety assessment model (SSAM). Since both reaction time (RT) and maximum braking rate (MABR) have been randomly selected for this scenario, the required braking rate (RBR) can be derived based on motion prediction methods, which are discussed in section ‘‘The motion prediction methods of determining crash occurrence for rear-end and lane-change conflicts.’’
Both descriptive rank comparison and statistical tests show that aggregate crash propensity metric (ACRI) is good at identifying crash-prone locations by correctly estimating relatively safety among multiple freeway exit ramps
Summary
Freeway ramps are potentially crash-prone area, where a large number of merging and diverging movements occur.[1]. As for safety evaluation, a variety of methods have been proposed to estimate and predict the safety implication of freeway ramps The motivation of such studies comes from the fact that crash data are oftentimes lacking or incomplete. Traffic simulations significantly reduce the workload of data collections and improve data accuracy in terms of eliminating human errors.[27] To develop a promising simulation-based conflict metric, stochastic models have been introduced to predict crash propensity of vehicles’ interactions for video-based conflict studies.[28,29,30,31,32] to our knowledge, there is no such simulated conflict-based safety metric dedicatedly developed for freeway ramp area. The proposed metric is expected to identify the actual safety implication of exit-ramp area
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