9 citations · 10 across the 5 of their papers we have counts for
5 papers
RankFormer: A Propose-then-Select Transformer for Multi-Agent Multimodal Trajectory Prediction
Diyi Liu, Zihan Niu, Tu Xu +2
Predicting traffic agent trajectories plays an important role in autonomous driving, traffic operations, transportation safety analysis, etc. Although many deep learning algorithms…
Estimating journey time for two-point vehicle re-identification survey with limited observable scope using 2-dimensional truncated distributions
Diyi Liu, Yangsong Gu, Lee D. Han
In transportation, Weigh-in motion (WIM) stations, Electronic Toll Collection (ETC) systems, Closed-circuit Television (CCTV) are widely deployed to collect data at different locat…
An Iterative Algorithm to Impute Truck Information over Nationwide Traffic Networks
Diyi Liu, Ankur Shiledar, Hyeonsup Lim +4
Understanding the dynamics of truck volumes and activities across the skeleton traffic network is pivotal for effective traffic planning, traffic management, sustainability analysi…
GTFS2STN: Analyzing GTFS Transit Data by Generating Spatiotemporal Transit Network
Diyi Liu, Jing Guo, Yangsong Gu +3
The General Transit Feed Specification (GTFS) is an open standard format for recording transit information, utilized by thousands of transit agencies worldwide. This study introduc…
Improving the accuracy of freight mode choice models: A case study using the 2017 CFS PUF data set and ensemble learning techniques
Diyi Liu, Hyeonsup Lim, Majbah Uddin +4
The US Census Bureau has collected two rounds of experimental data from the Commodity Flow Survey, providing shipment-level characteristics of nationwide commodity movements, publi…