Congestion-evolution aware road traffic prediction
Traffic congestion is a global concern due to continuous increase in traffic demand despite finite road capacity. Smart traffic management systems, supported with accurate Road Traffic Prediction (RTP), are essential for alleviating these concerns by maximizing roadway utilization. This research is concerned...
Saved in:
Main Author: | Sun, Yidan |
---|---|
Other Authors: | Lam Siew Kei |
Format: | Thesis-Doctor of Philosophy |
Language: | English |
Published: |
Nanyang Technological University
2022
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/156278 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Predicting traffic congestion evolution : a deep meta learning approach
by: Sun, Yidan, et al.
Published: (2022) -
Learning congestion propagation behaviors for traffic prediction
by: Sun, Yidan, et al.
Published: (2021) -
Learning traffic network embeddings for predicting congestion propagation
by: Sun, Yidan, et al.
Published: (2021) -
Collaborative analytics for predicting expressway-traffic congestion
by: Chong, Chee Seng, et al.
Published: (2013) -
Analysis and prediction of traffic congestion and incident duration in a road network
by: Kalyanaraman Manikandan Jananni
Published: (2018)