Impact of Traffic Flow Rate on the Accuracy of Short-Term Prediction of Origin-Destination Matrix in Urban Transportation Networks
Information about spatial distribution (OD flows) is a key element in traffic management systems in urban transport networks that enables efficient traffic control and decisions to redirect traffic to less congested sections of the network in emergencies. With the development of modern techniques of...
Main Authors: | Renata Żochowska, Teresa Pamuła |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-03-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/16/7/1202 |
Similar Items
-
Short-term Traffic Flow Prediction Using Artificial Intelligence with Periodic Clustering and Elected Set
by: Erdem Doğan
Published: (2020-02-01) -
Short-Term Traffic Prediction Using Deep Learning Long Short-Term Memory: Taxonomy, Applications, Challenges, and Future Trends
by: Anwar Khan, et al.
Published: (2023-01-01) -
Short-term traffic flow prediction at isolated intersections based on parallel multi-task learning
by: Bao-Lin Ye, et al.
Published: (2024-12-01) -
Research on Path Planning Model Based on Short-Term Traffic Flow Prediction in Intelligent Transportation System
by: Dongjie Zhu, et al.
Published: (2018-12-01) -
Origin–Destination Flow Estimation from Link Count Data Only
by: Subhrasankha Dey, et al.
Published: (2020-09-01)