19 citations · 24 across the 5 of their papers we have counts for
6 papers
RECO: Region-Aware Compensation for Extrinsic Perturbations in Roadside 3D Detection
Junsheng Du, Zhaocheng He, Yuhuan Lu
In intelligent transportation systems, roadside 3D object detection provides wide-area perception crucial for traffic understanding, cooperative early warning, and safe autonomous…
City-scale synthetic individual-level vehicle trip data
Guilong Li, Yixian Chen, Yimin Wang +3
Trip data that records each vehicle's trip activity on the road network describes the operation of urban traffic from the individual perspective, and it is extremely valuable for t…
Urban Vehicle Mobility Characteristic Mining and Trip Generation Based on Knowledge Graph
Guilong Li, Yixian Chen, Jun Xie +2
The operation of urban transportation produces massive traffic data, which contains abundant information and is of great significance for the study of intelligent transportation sy…
Potential destination discovery for low predictability individuals based on knowledge graph
Guilong Li, Yixian Chen, Qionghua Liao +1
Travelers may travel to locations they have never visited, which we call potential destinations of them. Especially under a very limited observation, travelers tend to show random…
City-Scale Holographic Traffic Flow Data based on Vehicular Trajectory Resampling
Yimin Wang, Yixian Chen, Guilong Li +3
Despite abundant accessible traffic data, researches on traffic flow estimation and optimization still face the dilemma of detailedness and integrity in the measurement. A dataset…
Routine pattern discovery and anomaly detection in individual travel behavior
Lijun Sun, Xinyu Chen, Zhaocheng He +1
Discovering patterns and detecting anomalies in individual travel behavior is a crucial problem in both research and practice. In this paper, we address this problem by building a…