ITS-Irvine Team Won The First Prize in Transportation Forecasting Competition 2019 (TRANSFOR19)

UC Irvine team "Traffic Flaw Theory" is the WINNER of TRANSFOR19. The team consisted Dr. Jared Sun (System Manager), Yiqiao Li (PhD Student), Pratiik Malik (PhD Student), Lu Xu (PhD student) and Dr. Qinglong Yan (Recent PhD graduate) at ITS-Irvine.

The international competition challenged the teams to develop short-term traffic forecasting models to predict the five-minute average speed on a road section along Chang’an North Road in Xi’an, China. The dataset is provided by DiDi Chuxing Technology Co., a Chinese ride-sharing company through Gaia Open Data Initiative. The submissions are evaluated based on prediction accuracy (50%),  degree on novelty (25%), quality of the code (10%), and quality of the presentation (15%). 

With the highest prediction accuracy, ITS-Irvine teams ranked #1 in the pre-selection stage and finished top after the final presentation at TRB 2019 Workshop 1058 “Big Data Without Machine Learning Is Just Lots of Data: A Guided Tour to Big Data and Machine Learning”.

The competition was organized by the TRB committee on Artificial Intelligence and Advanced Computing Applications (ABJ70) and Institute of Electrical and Electronics Engineers’ (IEEE’s) Intelligent Transportation Systems Society (ITSS) Technical Activities Sub-Committee “Smart Cities and Smart Mobility” and sponsored by DiDi Chuxing, a Chinese ride-sharing and technology firm.