Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching | Paper Citation Record

Observation 1044ad4b-955c-4dc2-8a94-40b540906153 · outbound

This paper cites Neuromlr: Robust & reliable route recommendation on road networks,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching Neuromlr: Robust & reliable route recommendation on road networks,

Reference 1

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Observation 5c668361-11fd-4d07-b8ec-53262f63afd5 · outbound

This paper cites Effective and efficient route planning using historical trajectories on road networks,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching Effective and efficient route planning using historical trajectories on road networks,

Reference 2

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Observation 0396ae38-6275-48fe-9985-a2dcfb471f26 · outbound

This paper cites Effective travel time estimation: When historical trajectories over road networks matter,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching Effective travel time estimation: When historical trajectories over road networks matter,

Reference 3

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Observation 4ee058b5-6690-43f1-be11-a2ea32457b91 · outbound

This paper cites Route travel time estimation on A road network revisited: Heterogeneity, proximity, periodicity and dynamicity,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching Route travel time estimation on A road network revisited: Heterogeneity, proximity, periodicity and dynamicity,

Reference 4

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Observation da9a57c3-8cef-4230-a9fd-8700b3abc01d · outbound

This paper cites VRE: A versatile, robust, and economical trajectory data system,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching VRE: A versatile, robust, and economical trajectory data system,

Reference 5

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Observation e55429da-ed3a-4c2b-8475-2069f888be39 · outbound

This paper cites Ghost: A general framework for high-performance online similarity queries over distributed trajectory streams,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching Ghost: A general framework for high-performance online similarity queries over distributed trajectory streams,

Reference 6

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Observation 828fe152-f8ac-41ca-9250-f3c02d4514ac · outbound

This paper cites Efficient non-learning similar subtrajectory search,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching Efficient non-learning similar subtrajectory search,

Reference 7

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Observation d5afc06a-3562-411a-b5f0-4f9b130698dd · outbound

This paper cites MDTP: A multi-source deep traffic prediction framework over spatio-temporal trajectory data,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching MDTP: A multi-source deep traffic prediction framework over spatio-temporal trajectory data,

Reference 8

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Observation 6cb6623e-6ee5-4722-9d13-73e6f09b1c10 · outbound

This paper cites Nuhuo: An effective estimation model for traffic speed histogram imputation on A road network,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching Nuhuo: An effective estimation model for traffic speed histogram imputation on A road network,

Reference 9

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Observation b65a7659-eeeb-4d7a-b74d-5eb8d7f32999 · outbound

This paper cites Rntrajrec: Road network enhanced trajectory recovery with spatial-temporal transformer,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching Rntrajrec: Road network enhanced trajectory recovery with spatial-temporal transformer,

Reference 10

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Observation 1d964ef5-14fa-4c61-ad35-f6a9e849285d · outbound

This paper cites LHMM: A learning enhanced HMM model for cellular trajectory map matching,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching LHMM: A learning enhanced HMM model for cellular trajectory map matching,

Reference 11

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Observation b72e1134-7ea8-4927-97d7-39cd416f583d · outbound

This paper cites An interactive-voting based map matching algorithm,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching An interactive-voting based map matching algorithm,

Reference 12

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Observation 383a0cdf-c67d-4883-a324-125b7e2b0f49 · outbound

This paper cites Graphmm: Graph-based vehicular map matching by leveraging trajectory and road correlations,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching Graphmm: Graph-based vehicular map matching by leveraging trajectory and road correlations,

Reference 13

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Observation df8c9fcb-a05f-4908-9d66-6099df7bc220 · outbound

This paper cites Mtrajrec: Map-constrained trajectory recovery via seq2seq multi-task learning,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching Mtrajrec: Map-constrained trajectory recovery via seq2seq multi-task learning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:33.219690Z

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Observation 02e673e6-ef88-4049-a81b-6872af7dc3ba · outbound

This paper cites Graph-constrained diffusion for end-to-end path planning,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching Graph-constrained diffusion for end-to-end path planning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:33.070129Z

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Observation b56f2a0d-a505-4b9a-b059-9e26f36d04a0 · outbound

This paper cites A statistical approach to map matching using road network geometry, topology and vehicular motion constraints,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching A statistical approach to map matching using road network geometry, topology and vehicular motion constraints,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:32.919485Z

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Observation 4f60aa31-00f3-4b62-9b9f-25d2b947e691 · outbound

This paper cites Hidden markov map matching through noise and sparseness,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching Hidden markov map matching through noise and sparseness,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:32.757356Z

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Observation 402ed1c2-d432-4d8f-93e4-f12f60844ae9 · outbound

This paper cites Dmm: A deep reinforcement learning based map matching framework for cellular data,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching Dmm: A deep reinforcement learning based map matching framework for cellular data,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:32.605909Z

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Observation d5498a30-f71e-48df-a0c0-f91d4767e417 · outbound

This paper cites Micro-macro spatial-temporal graph-based encoder-decoder for map-constrained tra- jectory recovery,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching Micro-macro spatial-temporal graph-based encoder-decoder for map-constrained tra- jectory recovery,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:32.470231Z

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Observation fd0e4c8c-d209-43d8-b3ab-81dce6571630 · outbound

This paper cites Deep trajectory recovery with fine-grained calibration using kalman filter,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching Deep trajectory recovery with fine-grained calibration using kalman filter,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:32.322730Z

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Observation 1da188e9-c24f-49f5-a862-a23d33c17743 · outbound

This paper cites TERI: an effective framework for trajectory recovery with irregular time intervals,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching TERI: an effective framework for trajectory recovery with irregular time intervals,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:32.152777Z

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Observation 6bdf51c0-e06a-4c1a-8fe8-3cb7582b23f3 · outbound

This paper cites A demonstration of KAMEL: A scalable bert-based system for trajectory imputation,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching A demonstration of KAMEL: A scalable bert-based system for trajectory imputation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:32.005766Z

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Observation 2c842e4b-0ba3-4de8-ad1c-d8eb0a89f27f · outbound

This paper cites Network-less trajectory imputation,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching Network-less trajectory imputation,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:31.836276Z

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Observation 261814b8-48ec-4a99-bac0-a0565380518b · outbound

This paper cites Attnmove: History enhanced trajectory recovery via attentional network,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching Attnmove: History enhanced trajectory recovery via attentional network,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:31.701409Z

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Observation c1ef7f5c-f480-4e2f-a4e3-d1addd3d50ac · outbound

This paper cites Periodic- move: Shift-aware human mobility recovery with graph neural network,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching Periodic- move: Shift-aware human mobility recovery with graph neural network,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:31.550249Z

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Observation 45f913ea-1be7-41b2-95ac-59c6677c2336 · outbound

This paper cites Modelling of bi- directional spatio-temporal dependence and users’ dynamic preferences for missing POI check-in identification,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching Modelling of bi- directional spatio-temporal dependence and users’ dynamic preferences for missing POI check-in identification,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:31.388194Z

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Observation 934b9bd4-7fea-4da7-984c-aecf52839fb4 · outbound

This paper cites Map- matching for low-sampling-rate GPS trajectories,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching Map- matching for low-sampling-rate GPS trajectories,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:31.251412Z

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Observation 97bf38a4-c8ad-440b-aeba-ca5899e186a3 · outbound

This paper cites Fast map matching, an algorithm integrating hidden markov model with precomputation,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching Fast map matching, an algorithm integrating hidden markov model with precomputation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:31.077782Z

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Observation 85d032ab-604d-444d-b201-42eea6973e5a · outbound

This paper cites Reducing uncertainty of low-sampling-rate trajectories,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching Reducing uncertainty of low-sampling-rate trajectories,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:30.898908Z

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Observation cf36eddf-b42e-4730-912e-133655d9205f · outbound

This paper cites Inferring uncertain trajectories from partial observations,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching Inferring uncertain trajectories from partial observations,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:30.717315Z

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Observation 1438e5be-e1e3-4b16-b2ed-643c7fbd023f · outbound

This paper cites Antmapper: An ant colony-based map matching approach for trajectory-based applica- tions,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching Antmapper: An ant colony-based map matching approach for trajectory-based applica- tions,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:30.570884Z

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Observation d0f96f6b-feac-42f9-89b8-899ee4ecd1eb · outbound

This paper cites Deepmm: Deep learning based map matching with data augmentation,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching Deepmm: Deep learning based map matching with data augmentation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:30.317290Z

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Observation 8a514515-8719-4326-8a77-02c278069057 · outbound

This paper cites L2MM: learning to map matching with deep models for low-quality GPS trajectory data,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching L2MM: learning to map matching with deep models for low-quality GPS trajectory data,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:30.113641Z

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Observation b8dd01a2-8869-41fd-892c-d5ad7ce40d53 · outbound

This paper cites Deep representation learning for trajectory similarity computation,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching Deep representation learning for trajectory similarity computation,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:29.921031Z

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Observation 4e8f881e-f852-4111-90d4-84a9de1ec2bc · outbound

This paper cites Computing trajectory similarity in linear time: A generic seed-guided neural metric learning approach,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching Computing trajectory similarity in linear time: A generic seed-guided neural metric learning approach,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:29.745456Z

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Observation 788cdc7f-702a-453c-95ef-b924c2682c26 · outbound

This paper cites T3S: effective representation learning for trajectory similarity computation,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching T3S: effective representation learning for trajectory similarity computation,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:29.558501Z

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Observation e710b45f-64e3-4198-93d4-c0bfa38d5225 · outbound

This paper cites Trajgat: A graph- based long-term dependency modeling approach for trajectory similarity computation,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching Trajgat: A graph- based long-term dependency modeling approach for trajectory similarity computation,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:29.344238Z

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Observation 15672816-e306-4935-af2c-0fc254a16eca · outbound

This paper cites Contrastive trajectory similarity learning with dual-feature attention,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching Contrastive trajectory similarity learning with dual-feature attention,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:29.148291Z

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Observation 2835f534-c82a-46a8-9099-68223e469ae8 · outbound

This paper cites Spatio-temporal trajectory similarity learning in road networks,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching Spatio-temporal trajectory similarity learning in road networks,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:28.955548Z

Source-reported events for the cited work

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Observation 7df28bc8-64a8-4be5-8cc4-f6ee1060a991 · outbound

This paper cites A graph-based approach for trajectory similarity computation in spatial networks,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching A graph-based approach for trajectory similarity computation in spatial networks,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:28.719411Z

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Observation 24a9e048-bab1-485e-b51f-69d0ade72812 · outbound

This paper cites An analysis of global positioning system standard positioning service performance for 2022,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching An analysis of global positioning system standard positioning service performance for 2022,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:28.552553Z

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Observation 43014504-5fea-4c43-88a0-4888ca90c223 · outbound

This paper cites STR: A simple and efficient algorithm for r-tree packing,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching STR: A simple and efficient algorithm for r-tree packing,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:28.364610Z

Source-reported events for the cited work

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Observation c2b3576b-aa2f-4e81-a850-e99d8792e16d · outbound

This paper cites node2vec: Scalable feature learning for networks,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching node2vec: Scalable feature learning for networks,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:28.192498Z

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Observation e69ba6aa-73b2-4af3-a5b2-7a199239541d · outbound

This paper cites Deep sparse rectifier neural networks,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching Deep sparse rectifier neural networks,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:28.048442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0537101f-a5a9-4ce4-a78d-5c84fba137d9 · outbound

This paper cites Attention is all you need,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching Attention is all you need,

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-05T20:31:26.903013Z

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Observation 0e10d53d-6f1a-4f1f-96b1-aca8e29d61ab · outbound

This paper cites On the properties of neural machine translation: Encoder-decoder approaches,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching On the properties of neural machine translation: Encoder-decoder approaches,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:27.934790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 177a8951-53fa-47d4-b0c6-192581d44130 · outbound

This paper cites Porto dataset,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching Porto dataset,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:27.731822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1bfe9021-d39f-4463-ac7b-1d2e0ec9a2de · outbound

This paper cites DITA: distributed in-memory trajectory analytics,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching DITA: distributed in-memory trajectory analytics,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:27.561784Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cd6d76bf-71f0-459b-969b-0d336df1b1bf · outbound

This paper cites Openstreetmap,.

Efficient Methods for Accurate Sparse Trajectory Recovery and Map Matching Openstreetmap,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:31:27.386057Z

Source-reported events for the cited work

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