https://github.com/775269512/sigspatial-2021-giscup-4th-solution
공식 코드Multi View Spatial-Temporal Model for Travel Time Estimation
Papers with Code 아카이브
Travel Time Estimation
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Evaluation of the time required to travel between two points.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ChenXu02/ProbTTE
공식 코드Link Representation Learning for Probabilistic Travel Time Estimation
https://github.com/ChenXu02/SPTTE
공식 코드SPTTE: A Spatiotemporal Probabilistic Framework for Travel Time Estimation
https://github.com/NickHan-cs/TRACK
공식 코드https://github.com/Sean-Bin-Yang/Path-InfoMax
공식 코드Unsupervised Path Representation Learning with Curriculum Negative Sampling
https://github.com/c-lyu/traffic4cast2022-tse
공식 코드Similarity-based Feature Extraction for Large-scale Sparse Traffic Forecasting
https://github.com/chenyuqi990215/rntrajrec
공식 코드RNTrajRec: Road Network Enhanced Trajectory Recovery with Spatial-Temporal Transformer
https://github.com/eighonet/gct-tte
공식 코드GCT-TTE: Graph Convolutional Transformer for Travel Time Estimation
https://github.com/jonasjuerss/help
공식 코드Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts
https://github.com/logan-lin/gtm
공식 코드UVTM: Universal Vehicle Trajectory Modeling with ST Feature Domain Generation
https://github.com/logan-lin/uvtm
공식 코드UVTM: Universal Vehicle Trajectory Modeling with ST Feature Domain Generation
https://github.com/maoxiaowei97/dutytte
공식 코드DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation
https://github.com/morningstarwang/MetaTTE
공식 코드https://github.com/mzy94/jclrnt
공식 코드Jointly Contrastive Representation Learning on Road Network and Trajectory
https://github.com/pabloguarda/mate
공식 코드Traffic estimation in unobserved network locations using data-driven macroscopic models
https://github.com/sean-bin-yang/tpr
공식 코드https://github.com/shenzekai/u-ertte
공식 코드Towards An Efficient and Effective En Route Travel Time Estimation Framework
https://github.com/vloods/transtte_demo
공식 코드Logistics, Graphs, and Transformers: Towards improving Travel Time Estimation
https://github.com/yoshall/awesome-trajectory-computing
공식 코드Deep Learning for Trajectory Data Management and Mining: A Survey and Beyond
https://github.com/csiesheep/deepist
DeepIST: Deep Image-based Spatio-Temporal Network for Travel Time Estimation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.