SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Traffic flow prediction using LSTM with feature enhancement · Study

ArticleShelves

ArticleTraffic flow prediction using LSTM with feature enhancement

Bailin Yang2018

Article2018

Traffic flow prediction using LSTM with feature enhancement

Bailin Yang · Shulin Sun · Jianyuan Li · Xianxuan Lin · Yan Tao Tian

451 citations·0/0 files stored·Neurocomputing

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Traffic Prediction and Management Techniques Stock Market Forecasting Methods Hydrological Forecasting Using AI

Abstract

No abstract was published for this record.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 451 citations exist upstream.

References

2014Traffic Flow Prediction With Big Data: A Deep Learning Approach 2015Long short-term memory neural network for traffic speed prediction using remote microwave sensor data 2003Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results 2017A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction 2014Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning 2008Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions 1996Combining kohonen maps with arima time series models to forecast traffic flow 1999Application of Subset Autoregressive Integrated Moving Average Model for Short-Term Freeway Traffic Volume Forecasting

Cited by

2020Machine Learning-based traffic prediction models for Intelligent Transportation Systems 2021Traffic flow prediction models – A review of deep learning techniques 2020Congestion prediction for smart sustainable cities using IoT and machine learning approaches

Related works

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

2020A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challengesarticle · 9 shared references 2019Deep learning models for traffic flow prediction in autonomous vehicles: A review, solutions, and challengesarticle · 9 shared references 2017Short-term traffic flow prediction with LSTM recurrent neural networkother · 8 shared references 2020A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Predictionarticle · 7 shared references 2020Long-Term Traffic Prediction Based on LSTM Encoder-Decoder Architecturearticle · 7 shared references 2017Traffic Flow Prediction with Rainfall Impact Using a Deep Learning Methodarticle · 7 shared references

Details

Year2018

Typearticle

Published2018-12-28

VenueNeurocomputing

ISSN-L0925-2312

Languageen

Citations451

Files0 public / 0

ShelfTraffic Prediction and Management Techniques

Identifiers

doi10.1016/j.neucom.2018.12.016

openalex_workW2907228515

Links

Imported from OpenAlex (CC0) — nothing here is generated.