New Springer Monograph
Harnessing Multi-Source Heterogeneous Data for Public Transit
Problem Diagnosis and Stochastic Optimization
This monograph presents innovative methods for diagnosing public transit problems and developing stochastic optimisation solutions using multi-source heterogeneous data — from Bayesian network diagnostics and multi-objective optimisation to spatial-temporal pattern mining and transit assignment.
Published in the International Series in Operations Research & Management Science by Springer Singapore. XI, 272 pages.
Operations ResearchPublic TransitBayesian NetworksStochastic OptimisationData Mining
