4 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…