Research Article

Predicting Fine-Grained Traffic Conditions via Spatio-Temporal LSTM

Table 4

Applications and comparisons about the traffic prediction.

YearLiteratureBasic data sourceTargetTermCore algorithmComplexityGranularityObject-based

2018[18]web cameratraffic densityshortConvolutional neural networkhighfine-grainedintersection
[27]an open datasettraffic flowlong/shortGenerative adversarial networkhighcoarse-grainedfreeway

2017[17]web cameratraffic densityshortFully convolutional networkshighfine-grainedrestricted area
[15]an experimental carvehicle speedshortAuto-regressive modelmiddlefine-grainedroad segment
[14]floating carvehicle speedshortHMMs+SUMOmiddlecoarse-grainedmotorway
[13]Loop Detectortraffic volumeshortST semi-supervised learninglowfine-grainedroad segment
[1]traffic loopstraffic flowlongGaussian process regressionlowcoarse-grainedregion