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iUTS faculty and students collaborated with Mcity staff and students to test iUTS’ multiscale traffic control models and algorithms, in particular the signal-vehicle coupled control (SVCC) algorithm, on July 10^th, on the Mcity 2.0 mixed reality testbed. Mcity 2.0 provides remote access APIs to integrate iUTS’ algorithms with Mcity hardware systems (CAVs, signal controllers) and digital infrastructure (digital maps, simulation models, data center) and a visualization tool to monitor the testing performance.

A video clip demonstrating the field testing can be found here.

iUTS Ph.D. student Feilong Wang successfully defended his dissertation research on “Data Poisoning Attacks in Transportation and Infrastructure-Enabled Defense Methods” on February 02, 2023. He will be a postdoc researcher of iUTS. Congratulations to Dr. Wang!

iUTS Ph.D. student Rong Fan successfully defended her dissertation research on “Commuting Service Platform: Concept, Method, and Analysis” on December 05, 2022. She has joined Uber to start her next journey. Congratulations to Dr. Fan!

iUTS welcomes new Ph.D. / MS Research Students: Ms. Shakiba Naderian, Mr. Soheil Kesharvarz, and Mr. Xin Wang. They come with strong background in transportation, AI/Computer Sciences, Statistics/Applied Math, and will add more to iUTS research, education, and outreach activities. Welcome them All!

iUTS Ph.D. student Qiangqiang Guo successfully defended his dissertation research on “Multiscale Signal-Vehicle Coupled Control with Connected and Autonomous Vehicles” on August 15, 2022. He has joined Google Map for his next journey. Congratulations to Dr. Guo!

Congratulations to iUTS/CEE 2022, 2021, 2020 graduates: Ph.D.: Jingxing Wang, Rong Fan, Qiangqiang Guo, Feilong Wang; MS: Iman Haji, Ebuka Umeibe, Sai Pavuluri, Hans Lu, Alex Lee, Michael Berlinger. A few MS graduates who could not attend the ceremony: Yanyan Chen, Ce Wang, Thomas Valdriz, Zhijun Liu, Ohay Angah, Dan McCabe. Congratulations to all and best luck with pursuing your future career & education!

Qiangqiang Guo, a fifth year Ph.D. student of iUTS, led a student team (Ohay Angah, Zhijun Liu) to win the First Place in the Student Research Competition on Artificial Intelligence Enabled Next Generation Transportation Systems, organized by the Artificial Intelligence in Transportation Committee of ASCE Transportation & Development Institute. His work, titled Hybrid deep reinforcement learning based eco-driving for low-level connected and automated vehicles along signalized corridors, focuses on applying RL methods for AV control to save energy and improve safety. The paper has been published by Transportation Research Part C in 2021: https://www.sciencedirect.com/science/article/abs/pii/S0968090X21000164.

Congratulations to Qiangqiang and the team!

A new NSF grant was awarded to iUTS to develop new privacy protection methods for connected vehicles (CV) and V2X data. The award will be a joint collaboration between UW and privacy/security experts at IIT. See here for more detailed information about this award.

iUTS has conducted Covid-19 related research since early 2020 on (i) mobility impacts on multimodal transportation systems, (ii) surveys/focus groups on travel/commuting needs, challenges, and new patterns (especially for essential workers) during and post the pandemic, and (iii) mobility-based transmission models to help predict Covid fatalities. More details of the research can be found from the following media/news reports.

1. UW News (Jun. 01, 2021), Regional survey reveals work, leisure habits during the pandemic (https://www.washington.edu/news/2021/06/01/regional-survey-reveals-work-leisure-habits-during-the-pandemic/)
2. Mirage News (Jun. 02, 2021): Regional survey reveals work, leisure habits during the pandemic (https://www.miragenews.com/regional-survey-reveals-work-leisure-habits-569742/)   
3. MyScience (Jun. 02, 2021): Regional survey reveals work, leisure habits during the pandemic (https://www.myscience.org/en/news/2021/regional_survey_reveals_work_leisure_habits_during_the_pandemic-2021-washington/)  
4. UW CEE News (Jan. 12, 2021): A mobility informed COVID-19 transmission model (https://www.ce.washington.edu/news/article/2021-01-12/mobility-informed-covid-19-transmission-model); paper preprint: https://www.medrxiv.org/content/10.1101/2020.07.25.20162016v1
5. COVID-19 infection modeling and prediction, Times Union (https://www.timesunion.com/news/article/RPI-researcher-uses-simple-formula-for-chemical-15667043.php)
6. CDC on COVID-10 Forecasts: Death (October 21, 2020), RPI-UW Model is one of the models that contributes to the CDC Ensemble Model to forecast COVID-19 deaths: https://www.cdc.gov/coronavirus/2019-ncov/covid-data/forecasting-us.html
7. RPI News (October 21, 2021): COVID-19 Model Inspired by Gas-Phase Chemistry Predicts Disease Spread: https://news.rpi.edu/content/2020/10/21/covid-19-model-inspired-gas-phase-chemistry-predicts-disease-spread
8. UW News (May 22, 2020): UW research team seeks campus input with survey on coronavirus mobility impacts:  https://www.washington.edu/news/2020/05/21/uw-research-team-seeks-campus-input-with-survey-on-coronavirus-mobility-impacts/?utm_source=UW_News_Subscribers&utm_medium=email&utm_campaign=UW_Today_row&mkt_tok=eyJpIjoiTldFeE9ETXdNekk1WWpZNCIsInQiOiJBSVpkK2JcL0Y5Z2dDR3Arall3T1llK0RmM2praWZjZzl5MjN1ckNnTTJnVVBjYkh6cmNcL3g1Vm5ncUEraGVQbEx0c3VVZDBIUHF4SlR6UTB1REV0WVdBdTE2NXN4Q3JCQm4xSFlhOXI0NUxielR4QVdlOHlKbEJheVpFRnJ6SWY0In0%3D
9. C2Smart, NYU (May 5, 2020): COVID-19 Transportation Data Dashboard and White Paper Issue 2: https://c2smart.engineering.nyu.edu/wp-content/uploads/2020/05/Whitepaper-Issue-2.pdf.

Ms. Ohay Angah and Mr. Feilong Wang  joined iUTS as Ph.D. students. Ohay is interested in multiscale transportation system simulation and control, and Feilong is interested in transportation big data and cybersecurity. Welcome to both Ohay and Feilong!