Tianyi Li

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

Doctor of Philosophy
Looking for collaborators, and new opportunities.

About

15
Publications
613
Reads
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45
Citations
Introduction
Actively seeking global Researcher/Postdoctoral/intern positions. Let's connect to explore how my expertise can contribute to your team. Personal Website: https://tianyili.xyz Research interests: Transportation-Cyber-Physical systems (T-CPS) Machine Learning with transportation priors Traffic estimation and modeling Sustainable urban mobility Urban computing Transportation safety
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 (15)
Preprint
With the advent of vehicles equipped with advanced driver-assistance systems, such as adaptive cruise control (ACC) and other automated driving features, the potential for cyberattacks on these automated vehicles (AVs) has emerged. While overt attacks that force vehicles to collide may be easily identified, more insidious attacks, which only slight...
Preprint
Full-text available
The emergence of automated vehicles (AVs) with driver-assist features, such as adaptive cruise control (ACC) and other automated driving capabilities, promises a bright future for transportation systems. However, these emerging features also introduce the possibility of cyberattacks. A select number of ACC vehicles could be compromised to drive abn...
Article
Full-text available
The driving characteristics of individual vehicles in the flow have been shown to influence the aggregate traffic flow characteristics. This is true both for individual human drivers as well as vehicles with some level of automation, such as adaptive cruise control (ACC). Knowledge of the individual constituents of the traffic flow will allow for m...
Preprint
Full-text available
The driving characteristics of individual vehicles in the flow have been shown to influence the aggregate traffic flow characteristics. This is true both for individual human drivers as well as vehicles with some level of automation, such as adaptive cruise control (ACC). Knowledge of the individual constituents of the traffic flow will allow for m...
Data
The data collection took place at 18 intersections in Minnesota. Data collection was conducted at 18 sites across Minnesota to capture various road types, and intersection features during the summer months. The TIMs were deployed to each location for between one and two weeks, and video was recorded during daylight hours only. The Minnesota Traffic...
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
Full-text available
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...

Network

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