2017
Tomography of the London Underground: a Scalable Model for Origin-Destination Data
NeurIPS 2017poster
The paper addresses the classical network tomography problem of inferring local traffic given origin-destination observations. Focussing on large complex public transportation systems, we build a scalable model that exploits input-output information to estimate the unobserved link/station loads and…