Article ID Journal Published Year Pages File Type
6937330 Transportation Research Part C: Emerging Technologies 2013 17 Pages PDF
Abstract
Moreover, we created a logistic regression model that predicts the acceptance or rejection of a given gap, depending on the gap value and the speed difference between the merging vehicle and the putative follower. We have shown that two other factors impact the probability of rejecting or accepting a given gap, but these are significant for just one of the data sets: the distance to the end of the acceleration lane and the speed difference between the putative follower and the putative leader. This shows the impact of the local situation on the merging behaviour (e.g. traffic composition, road geometry, and traffic conditions).
Related Topics
Physical Sciences and Engineering Computer Science Computer Science Applications
Authors
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