Smarter City, Smoother Trip

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.

作为一部系统性论述公共交通大数据的学术专著，本书专注于公共交通系统中的诊断与随机优化问题，为数据赋能的公交规划提供了理论指导。