Travel Time Estimation
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Benchmarks
TTE-A&O
Most implemented
Link Representation Learning for Probabilistic Travel Time Estimation
Towards An Efficient and Effective En Route Travel Time Estimation Framework
Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning
SPTTE: A Spatiotemporal Probabilistic Framework for Travel Time Estimation
Papers
MixTTE: Multi-Level Mixture-of-Experts for Scalable and Adaptive Travel Time Estimation
Accurate Travel Time Estimation (TTE) is critical for ride-hailing platforms, where errors directly impact user experience and operational efficiency. While existing production systems excel at holistic route-level depen…
Travel Time EstimationIncremental LearningCapturing Context-Aware Route Choice Semantics for Trajectory Representation Learning
Trajectory representation learning (TRL) aims to encode raw trajectory data into low-dimensional embeddings for downstream tasks such as travel time estimation, mobility prediction, and trajectory similarity analysis. Fr…
Representation LearningTravel Time EstimationMultimodal Trajectory Representation Learning for Travel Time Estimation
Accurate travel time estimation (TTE) plays a crucial role in intelligent transportation systems. However, it remains challenging due to heterogeneous data sources and complex traffic dynamics. Moreover, traditional appr…
Representation LearningTravel Time EstimationTrajectory ModelingTraj-MLLM: Can Multimodal Large Language Models Reform Trajectory Data Mining?
Building a general model capable of analyzing human trajectories across different geographic regions and different tasks becomes an emergent yet important problem for various applications. However, existing works suffer …
Travel Time EstimationAnomaly DetectionTowards An Efficient and Effective En Route Travel Time Estimation Framework
En route travel time estimation (ER-TTE) focuses on predicting the travel time of the remaining route. Existing ER-TTE methods always make re-estimation which significantly hinders real-time performance, especially when …
Meta-LearningTravel Time EstimationA Systematic Decade Review of Trip Route Planning with Travel Time Estimation based on User Preferences and Behavior
This paper systematically explores the advancements in adaptive trip route planning and travel time estimation (TTE) through Artificial Intelligence (AI). With the increasing complexity of urban transportation systems, t…
Data IntegrationFederated LearningMeta-LearningReinforcement Learning (RL)+1