SE-MAConvLSTM framework.

SE-MAConvLSTM framework.

<div><p>Traffic flow prediction is an important part of transportation management and planning. For example, accurate demand prediction of taxis and online car-hailing can reduce the waste of resources caused by empty cars. The prediction of public bicycle flow can be more reasonable to...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Rong Zhu (172093) (author)
مؤلفون آخرون: Jie Tang (46802) (author), Xuansen He (20390177) (author), Xianlai Zhou (20390180) (author), Xiaohui Huang (458909) (author), Fengyun Wu (12692969) (author), Songli Chen (11556928) (author)
منشور في: 2024
الموضوعات:
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
two problems mentioned
traffic flow data
time interval affects
third problem mentioned
temporal correlation existing
last time interval
historical flow data
deep learning framework
deep learning algorithm
achieve higher accuracy
convolutional neural network
convolutional lstm network
public bicycle flow
cnn ), squeeze
traffic flow prediction
accurate demand prediction
excitation network
public bicycles
prediction results
transportation management
three difficulties
stfem ),
results show
respectively compared
resources caused
online car
important part
empty cars
attention modules
attention module
aggregation module
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