activity
20192022
most citedTransfer learning for cross-modal demand prediction of bike-share and public transit

4 citations · 6 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG20224 cited

Transfer learning for cross-modal demand prediction of bike-share and public transit

Mingzhuang Hua, Francisco Camara Pereira, Yu Jiang +1

The urban transportation system is a combination of multiple transport modes, and the interdependencies across those modes exist. This means that the travel demand across different…

cs.MA20201 cited

Bayesian Optimization of Area-based Road Pricing

Renming Liu, Yu Jiang, Carlos Lima Azevedo

This study presents a Bayesian Optimization framework for area- and distance-based time-of-day pricing (TODP) for urban networks. The road pricing optimization problem can reach hi…

math.OC2020

Joint Optimization of Transfer Location and Capacity in a Multimodal Transport Network: Bilevel Modeling and Paradoxes

Yu Jiang, Jiao Ye, Jun Chen

With the growing attention towards developing the multimodal transport system to enhance urban mobility, there is an increasing need to construct new, rebuild or expand existing in…

physics.soc-ph20201 cited

Equitable Transit Network Design Under Uncertainty

Yu Jiang

This paper proposes a bilevel transit network design problem considering supply side uncertainty. The upper level problem determines frequency settings to simultaneously maximize t…

stat.ML2019

Online Predictive Optimization Framework for Stochastic Demand-Responsive Transit Services

Inon Peled, Kelvin Lee, Yu Jiang +2

This study develops an online predictive optimization framework for dynamically operating a transit service in an area of crowd movements. The proposed framework integrates demand…