road network

DiffMM: Efficient Method for Accurate Noisy and Sparse Trajectory Map Matching via One Step Diffusion AAAI 2026 Hierarchical Frequency-Decomposition Graph Neural Networks for Road Network Representation Learning AAAI 2026 Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning AAAI 2025 GTG: Generalizable Trajectory Generation Model for Urban Mobility AAAI 2025 UniTR: A Unified Framework for Joint Representation Learning of Trajectories and Road Networks AAAI 2025 A Framework for Centralized Traffic Routing in Urban Areas IJCAI 2024 Deep Learning-Based Alternative Route Computation AISTATS 2024 Estimating On-Road Transportation Carbon Emissions from Open Data of Road Network and Origin-Destination Flow Data AAAI 2024 Patched Line Segment Learning for Vector Road Mapping AAAI 2024 Road Network Representation Learning with the Third Law of Geography NeurIPS 2024 Using Reinforcement Learning to Iteratively Construct Road Networks from Satellite Images and GPS Data AAAI 2024 Continuous Trajectory Generation Based on Two-Stage GAN AAAI 2023 GRLSTM: Trajectory Similarity Computation with Graph-Based Residual LSTM AAAI 2023 DSTAGNN: Dynamic Spatial-Temporal Aware Graph Neural Network for Traffic Flow Forecasting ICML 2022 Hierarchical Graph Convolution Network for Traffic Forecasting AAAI 2021 Hierarchical Graph Traversal for Aggregate k Nearest Neighbors Search in Road Networks (Extended Abstract) IJCAI 2021 NeuroMLR: Robust & Reliable Route Recommendation on Road Networks NeurIPS 2021 Structured Bird's-Eye-View Traffic Scene Understanding From Onboard Images ICCV 2021 Traffic Flow Prediction with Vehicle Trajectories AAAI 2021 Travel Time Prediction on Un-Monitored Roads: A Spatial Factorization Machine Based Approach (Student Abstract) AAAI 2020 Dynamic Electronic Toll Collection via Multi-Agent Deep Reinforcement Learning with Edge-Based Graph Convolutional Networks IJCAI 2019 Topological Map Extraction From Overhead Images ICCV 2019