Clustering of fundamental traffic relations for capacity estimation (original) (raw)

Capacity estimation at bottleneck locations along urban motorways are of importance for control purposes. If the capacity is known, the control strategy can be designed to not exceed capacity, or at least prolong the time until exceeding the capacity and thereby entering congested traffic conditions. In this study we show how the probability distribution of capacity can be estimated using automatic identification of traffic breakdowns and clustering methods. c © 2020 Peer-review under responsibility of the scientific committee of the 23rd EURO Working Group on Transportation Meeting.