Incident duration prediction using a bi-level machine learning framework with outlier removal and intra-extra joint optimisation. (arXiv:2205.05197v1 [cs.LG])

Web: http://arxiv.org/abs/2205.05197

Predicting the duration of traffic incidents is a challenging task due to the
stochastic nature of events. The ability to accurately predict how long
accidents will last can provide significant benefits to both end-users in their
route choice and traffic operation managers in handling of non-recurrent
traffic congestion. This paper presents a novel bi-level machine learning
framework enhanced with outlier removal and intra-extra joint optimisation for
predicting the incident duration on three heterogeneous data sets collected for
both arterial roads …

arxiv bi framework learning machine machine learning prediction