Rail and urban transit systems often serve a large number of passengerson a daily basis and play an important role in supporting economicactivities. This presentation will discuss how to utilize modeling anddata analysis tools to improve our understanding and performanceof rail or urban transit systems. In particular, this presentation will firstdiscus data mining and modeling techniques for quantifying mobilitypatterns and demand prediction in rail/transit systems. Then, givencertain levels of demand information, pricing and service networkdesign problems in rail/transit systems will be presented. A fewexamples on game-theoretical models and network design models forpassenger-freight integrated transit/rail system will be illustrated. Inaddition, several empirical studies that examine the impacts of raildevelopment on accessibility, economy and equity will be discussedwhere the joint effect of rail development and megalopolis policy willalso be covered. In summary, this presentation illustrates with exampleshow modeling and analysis tools can be applied to rail and urban transitsystems for better policy and decision making.

Rapid advances in artificial intelligence (Al) have made itincreasingly applicable to support human work (eg. healthcare)However, the achievement of only accurate predictions of Alsystems is not sufficient for their deployment in practice. lf notcarefully designed with stakeholders, Al systems can exacerbateuser experience, and easily be abandoned. Instead, it is criticalthat these systems are designed to leverage the best of humanability, but also assist to overcome human limitations.In this talk, will introduce my work on creating two interactivesystems that augments a machine learning model with humanfeedback in the context of physical stroke rehabilitation therapy1) human-Al collaborative decision making on rehabilitationassessment for therapists and 2) human-robot collaborativerehabilitation therapy for post-stroke survivors. Then, I will shareinsights from the design, development, and evaluation ofcollaborative systems on rehabilitation with therapists andpost-stroke survivors. Finally, I will discuss emerging and futuredirections for my research, exploring core challenges of creatingeffective human-Al/robot collaborative systems.