iUTS faculty and graduate students attended the 98th Annual Meeting of Transportation Research Board (TRB) from Jan. 12 – Jan. 16 at Washington, DC. Members of iUTS presented 5 papers, and was invited to present their methods and results for two competitions:
- Wang, J.P., Huang, H.J, Ban, X. 2019. Dynamic ridesharing with variable-ratio charging-compensation scheme for morning commute. Presented at the 98th Annual Meeting of Transportation Research Board, Washington, DC.
- Wang, F., Wang, J., Cao, J., Chen, C., Ban, X., 2018. Extracting trips from multi-sourced data for mobility pattern analysis: An app-based data example. Presented at the 98th Annual Meeting of Transportation Research Board, Washington, DC.
- Wang, J., Wang, F., Ban, X., Chen, C., 2018. Comparative analysis of big data and small (survey) data for deriving human mobility patterns. Presented at the 98th Annual Meeting of Transportation Research Board, Washington, DC.
- Li, W., Ban, X., 2018. Connected vehicle based traffic signal coordination. Presented at the 98th Annual Meeting of Transportation Research Board, Washington, DC.
- Li, W., Ban, X. 2018. A deep learning approach for lane-based traffic volume prediction at signalized intersection. Presented at the 98th Annual Meeting of Transportation Research Board, Washington, DC.
- Li, W., Wang, J, Fan, R., Guo, Q., Zhang, Y. 2018. Short-term traffic speed prediction from latent structures. Presented at the 98th Annual Meeting of Transportation Research Board, Washington, DC.
- Xiao, B., Wu, X., Zhang, Y., 2018. Demographic features and mode transfer patterns of TNC users: evidence from 2017 NHTS data. Presented at the 98th Annual Meeting of Transportation Research Board, Washington, DC.
Congratulations to iUTSgo team to win the 4th place in the Transportation Forecasting Competition organized by ABJ70 of TRB; see more details at https://ta.itss-ieee.org/transportation-forecasting-competition-transfor-19-call-for-participation-2019-trb-annual-meeting-workshop/