Tianyi Li

Tianyi Li
University of Minnesota Twin Cities | UMN · Department of Civil Engineering

Doctor of Philosophy
Looking for collaborators, and new opportunities.

About

8
Publications
148
Reads
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12
Citations
Citations since 2017
8 Research Items
12 Citations
201720182019202020212022202302468
201720182019202020212022202302468
201720182019202020212022202302468
201720182019202020212022202302468
Introduction
Hi! I am a second-year Ph.D. student in Intelligent Transportation Systems under the supervision of Professor Raphael Stern at the University of Minnesota (UMN). Specifically, I am working on topics that include machine learning in transportation, Transportation-Cyber-Physical systems (T-CPS), and transportation safety. My research leverages data and computation to apply them to traditional transportation engineering challenges and to understand and design future cities.
Education
September 2020 - May 2024
University of Minnesota Twin Cities
Field of study
  • Transportation Engineering
September 2017 - December 2019
University of Washington Seattle
Field of study
  • Transportation Engineering
May 2014 - May 2017
Iowa State University
Field of study
  • Civil Engineering

Publications

Publications (8)
Article
Max-pressure signal control has been analytically proven to maximize the network throughput and stabilize queue lengths whenever possible. Since there are many transit lines operating in the metropolis, the max-pressure signal control should be extended to multi-modal transportation systems to achieve more widespread usage. The standard max-pressur...
Article
The explosive popularity of transportation network companies (TNCs) in the last decade has imposed dramatic disruptions on the taxi industry, but not all the impacts are beneficial. For instance, studies have shown taxi capacity utilization rate is lower than 50% in five major U.S. cities. With the availability of taxi data, this study finds the ta...
Conference Paper
The explosive growth of transportation network companies (TNCs) in the last decade has posed dramatic disruptions on the taxi industry. This paper investigates how ridesourcing services impacted the taxi industry from both spatial and temporal perspectives in the city of Chicago. With the taxi data from 2014 to 2019 and TNCs data in 2019 from the C...

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Projects

Project (1)