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Travel Time Estimation
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Evaluation of the time required to travel between two points.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
A Systematic Decade Review of Trip Route Planning with Travel Time Estimation based on User Preferences and Behavior
Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning
RLER-TTE: An Efficient and Effective Framework for En Route Travel Time Estimation with Reinforcement Learning
SPTTE: A Spatiotemporal Probabilistic Framework for Travel Time Estimation
RED: Effective Trajectory Representation Learning with Comprehensive Information
Trajectory Representation Learning on Road Networks and Grids with Spatio-Temporal Dynamics
Context-Enhanced Multi-View Trajectory Representation Learning: Bridging the Gap through Self-Supervised Models
DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation
Link Representation Learning for Probabilistic Travel Time Estimation
Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction
Deep Learning for Trajectory Data Management and Mining: A Survey and Beyond
UVTM: Universal Vehicle Trajectory Modeling with ST Feature Domain Generation
Traffic estimation in unobserved network locations using data-driven macroscopic models
Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts
Effects of Dynamic and Stochastic Travel Times on the Operation of Mobility-on-Demand Services
An Approximate Dynamic Programming Approach to Vehicle Platooning Coordination in Networks
Origin-Destination Travel Time Oracle for Map-based Services
GCT-TTE: Graph Convolutional Transformer for Travel Time Estimation
Multitask Weakly Supervised Learning for Origin Destination Travel Time Estimation
HTTE: A Hybrid Technique For Travel Time Estimation In Sparse Data Environments
RNTrajRec: Road Network Enhanced Trajectory Recovery with Spatial-Temporal Transformer
Computer Vision for Transit Travel Time Prediction: An End-to-End Framework Using Roadside Urban Imagery
Similarity-based Feature Extraction for Large-scale Sparse Traffic Forecasting
Jointly Contrastive Representation Learning on Road Network and Trajectory
DuETA: Traffic Congestion Propagation Pattern Modeling via Efficient Graph Learning for ETA Prediction at Baidu Maps
Short Duration Traffic Flow Prediction Using Kalman Filtering
Logistics, Graphs, and Transformers: Towards improving Travel Time Estimation
GOF-TTE: Generative Online Federated Learning Framework for Travel Time Estimation
Learning Citywide Patterns of Life from Trajectory Monitoring
Route to Time and Time to Route: Travel Time Estimation from Sparse Trajectories
Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning -- Extended Version
Fine-Grained Trajectory-based Travel Time Estimation for Multi-city Scenarios Based on Deep Meta-Learning
Multi View Spatial-Temporal Model for Travel Time Estimation
Unsupervised Path Representation Learning with Curriculum Negative Sampling
Spatio-Temporal Dual Graph Neural Networks for Travel Time Estimation
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