Research on Urban Traffic Industrial Management under Big Data: Taking Traffic Congestion as an Example
This paper establishes a prediction model of traffic flow, where three cycle dependent components are used to model three characteristics of traffic data, respectively. CNN is used to extract spatial features, and the combination of LSTM and attention mechanism is used to dynamically capture the inf...
Saved in:
Main Authors: | Yi Zhang, Shuwang Yang, Hang Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
|
Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2022/1615482 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Research on the Traffic Flow Control of Urban Occasional Congestion Based on Catastrophe Theory
by: Yang Xu, et al.
Published: (2021-01-01) -
Dynamic Path Optimization in Sharing Mode to Relieve Urban Traffic Congestion
by: Hongmei Chen, et al.
Published: (2021-01-01) -
Analysis of the Impact of Traffic Violation Monitoring on the Vehicle Speeds of Urban Main Road: Taking China as an Example
by: Fuquan Pan, et al.
Published: (2020-01-01) -
Optimization Model of Traffic Sensor Layout considering Traffic Big Data
by: Xu Sun, et al.
Published: (2020-01-01) -
Research on Congestion Pricing in Multimode Traffic considering Delay and Emission
by: Hongna Dai, et al.
Published: (2015-01-01)