Travel Time Estimation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

19 shown of 19 papers with code (55 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Link Representation Learning for Probabilistic Travel Time Estimation
  8 Jul 2024 2 repositories listed
  During inference, we estimate the probability distribution of the travel time of a queried trip conditional on the completed trips that are spatiotemporally adjacent.
• UVTM: Universal Vehicle Trajectory Modeling with ST Feature Domain Generation
  11 Feb 2024 2 repositories listed
  However, creating such a model is challenging when the integrity of trajectory features is compromised, i.
• Towards An Efficient and Effective En Route Travel Time Estimation Framework
  5 Apr 2025 1 repository listed
  En route travel time estimation (ER-TTE) focuses on predicting the travel time of the remaining route.
• Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning
  8 Feb 2025 1 repository listed
  Meanwhile, TRACK designs a traffic transformer encoder to capture the spatial-temporal dynamics of road segments from traffic state data.
• SPTTE: A Spatiotemporal Probabilistic Framework for Travel Time Estimation
  27 Nov 2024 1 repository listed
  While existing research employs probabilistic modeling to assess travel time uncertainty and account for correlations between multiple trips, modeling the temporal variability of multi-trip travel time distributions…
• DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation
  23 Aug 2024 1 repository listed
  This involves two main challenges: 1) Predicting a path that aligns with the ground truth, and 2) modeling the impact of travel time in each segment on overall uncertainty under varying conditions.
• Deep Learning for Trajectory Data Management and Mining: A Survey and Beyond
  21 Mar 2024 1 repository listed
  In this paper, we present a comprehensive review of the development and recent advances in deep learning for trajectory computing (DL4Traj).
• Traffic estimation in unobserved network locations using data-driven macroscopic models
  30 Jan 2024 1 repository listed
  This paper leverages macroscopic models and multi-source spatiotemporal data collected from automatic traffic counters and probe vehicles to accurately estimate traffic flow and travel time in links where these…
• Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts
  25 Nov 2023 1 repository listed Syntology ran 2 of 4 samples · 2 unverified · 4 pointer-only (licence)
  A line of interpretable methods approach this by discovering a small set of relevant concepts as subgraphs in the last GNN layer that together explain the prediction.
• GCT-TTE: Graph Convolutional Transformer for Travel Time Estimation
  7 Jun 2023 1 repository listed
  This paper introduces a new transformer-based model for the problem of travel time estimation.
• RNTrajRec: Road Network Enhanced Trajectory Recovery with Spatial-Temporal Transformer
  23 Nov 2022 1 repository listed Syntology ran 1 of 10 samples · 9 unverified
  However, many real-life trajectories are collected with low sample rate due to energy concern or other constraints.
• Similarity-based Feature Extraction for Large-scale Sparse Traffic Forecasting
  13 Nov 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  Short-term traffic forecasting is an extensively studied topic in the field of intelligent transportation system.
• Jointly Contrastive Representation Learning on Road Network and Trajectory
  14 Sep 2022 1 repository listed
  Unlike the existing cross-scale contrastive learning methods on graphs that only contrast a graph and its belonging nodes, the contrast between road segment and trajectory is elaborately tailored via novel positive…
• Logistics, Graphs, and Transformers: Towards improving Travel Time Estimation
  12 Jul 2022 1 repository listed
  The problem of travel time estimation is widely considered as the fundamental challenge of modern logistics.
• Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning -- Extended Version
  30 Mar 2022 1 repository listed
  In this setting, it is essential to learn generic temporal path representations(TPRs) that consider spatial and temporal correlations simultaneously and that can be used in different applications, i.
• Fine-Grained Trajectory-based Travel Time Estimation for Multi-city Scenarios Based on Deep Meta-Learning
  20 Jan 2022 1 repository listed
  To tackle these challenges, we propose a meta learning based framework, MetaTTE, to continuously provide accurate travel time estimation over time by leveraging well-designed deep neural network model called DED, which…
• Multi View Spatial-Temporal Model for Travel Time Estimation
  15 Sep 2021 1 repository listed
  Specifically, we use graph2vec to model the spatial view, dual-channel temporal module to model the trajectory view, and structural embedding to model traffic semantics.
• Unsupervised Path Representation Learning with Curriculum Negative Sampling
  17 Jun 2021 1 repository listed
  In the global view, PIM distinguishes the representations of the input paths from those of the negative paths.
• DeepIST: Deep Image-based Spatio-Temporal Network for Travel Time Estimation
  5 Sep 2019 1 repository listed
  Estimating the travel time for a given path is a fundamental problem in many urban transportation systems.

Syntology lines on 3 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.