Nonrecurrent traffic congestion detection with a coupled scalable Bayesian robust tensor factorization model

Q Li, H Tan, Z Jiang, Y Wu, L Ye - Neurocomputing, 2021 - Elsevier
Nonrecurrent traffic congestion (NRTC) usually brings unexpected delays to commuters.
Hence, it is critical to accurately detect and recognize the NRTC in a real-time manner. The …

[HTML][HTML] Contextual route recommendation system in heterogeneous traffic flow

SM Nasution, E Husni, K Kuspriyanto, R Yusuf… - Sustainability, 2021 - mdpi.com
The traffic composition in develo** countries comprises of variety of vehicles which
include cars, buses, trucks, and motorcycles. Motorcycles dominate the road with 77.5 …

Predicting traffic conditions using knowledge-growing Bayes classifier

E Husni, SM Nasution, R Yusuf - IEEE Access, 2020 - ieeexplore.ieee.org
Congestion often hinders human mobility. This problem occurs due to the constant increase
in vehicles every year. Reliable predictions of traffic conditions would allow drivers to …

[PDF][PDF] A Study of Solid Waste Generation, Composition, and Management System in Kathmandu Valley, Nepal

C Koo, D Adhikari, D Mali - 2022 - researchgate.net
The necessity of solid waste data collection, analysis and prediction is fundamental in a city
like Kathmandu Valley to properly manage solid waste. The challenge of solid waste is vast …

Semi-Ensemble Learning using Neural Network for Classifying Traffic Condition

SM Nasution, E Husni, R Yusuf - … International Conference on …, 2020 - ieeexplore.ieee.org
The growth of technology aims to help human's activity. One of human's activity which could
use technology is in the transportation area by implementing machine learning. This paper …

[PDF][PDF] A study of road users' perspective on problems contributing to road traffic congestion in Midrand, Gauteng.

MS Netshisaulu, MI Ambe - internationalbusinessconference …
This paper investigates the specific problems contributing to road traffic congestion in
Midrand, Gauteng. Traffic congestion in South Africa presents significant challenges …