Members of iUTS Lab, Jingxing Wang, Rong Fan, Yiran Zhang, Qiangqiang Guo, Dan McCabe, and Jeff Ban attend the 2019 INFORMS Annual Meeting in Seattle (Oct. 20-23). Some of them presented their research results (see blow) and they all had a great time to interact with researchers who are interesting in applying analytics methods to transportation and many other engineering fields.
- Wang, J., Lu, S., Ban, X., 2019. Exploring insignificant OD pairs: a compressed sensing model for OD demand estimation. Presented at the INFORMS Annual Meeting, Seattle, WA, Oct. 20-23, 2019.
- Li, W., Ban. X., 2019. Deep learning methods for real time traffic volume prediction for signalized intersections. Presented at the INFORMS Annual Meeting, Seattle, WA, Oct. 20-23, 2019.
- Guo, Q., Ban, X., 2019. Reinforced learning based traffic signal control. Presented at the INFORMS Annual Meeting, Seattle, WA, Oct. 20-23, 2019.
- Zhang, Y., Guo, Q., Ban, X., 2019. Simulating CAVs on urban transportation networks. Presented at the INFORMS Annual Meeting, Seattle, WA, Oct. 20-23, 2019.