4 papers
Computing Absorbing-Frequency Centrality: Complexity, Estimators, and Scalable Algorithms for Stochastic Networks
Wencheng Bao, Eleftheria Kontou, Chrysafis Vogiatzis
In a stochastic network, where edges fail and weights may vary across realizations, the node of highest betweenness is itself random. Absorbing-frequency centrality (AFC) scores ea…
Risk-Averse Stochastic User Equilibrium on Uncertain Transportation Networks
Wencheng Bao, Chrysafis Vogiatzis, Eleftheria Kontou
Travel times in transportation networks are uncertain and exhibit right-skewed distributions with long tails under weather and incident disruptions. The current challenge is that e…
Application of Kalman Filter in Stochastic Differential Equations
Wencheng Bao, Shi Feng, Kaiwen Zhang
In areas such as finance, engineering, and science, we often face situations that change quickly and unpredictably. These situations are tough to handle and require special tools a…
Machine learning assist nyc subway navigation safer and faster
Wencheng Bao, Shi Feng
Mainstream navigation software, like Google and Apple Maps, often lacks the ability to provide routes prioritizing safety. However, safety remains a paramount concern for many. Our…