AIMC Topic: Transportation

Clear Filters Showing 71 to 76 of 76 articles

The intelligence of dual simplex method to solve linear fractional fuzzy transportation problem.

Computational intelligence and neuroscience Feb 24, 2015
An approach is presented to solve a fuzzy transportation problem with linear fractional fuzzy objective function. In this proposed approach the fractional fuzzy transportation problem is decomposed into two linear fuzzy transportation problems. The o...
Humans Algorithms Models, Theoretical Fuzzy Logic Intelligence Electronic Data Processing Transportation
View on PubMed DOI

Bilinear Spatiotemporal Fusion Network: An efficient approach for traffic flow prediction.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Accurate traffic flow forecasting is critical for intelligent transportation systems, yet increasing model complexity in spatiotemporal graph neural networks does not always yield proportional gains. In this paper, we present a Bilinear Spatiotempora...
Humans Neural Networks, Computer Algorithms Forecasting Transportation
View on PubMed DOI

Intelligent traffic congestion forecasting using BiLSTM and adaptive secretary bird optimizer for sustainable urban transportation.

Scientific reports May 26, 2025
Traffic congestion forecasting is one of the major elements of the Intelligent Transportation Systems (ITS). Traffic congestion in urban road networks significantly influences sustainability by increasing air pollution levels. Efficient congestion ma...
Humans Algorithms Forecasting Deep Learning Cities Air Pollution Vehicle Emissions Transportation
View on PubMed DOI

Harnessing optimization with deep learning approach on intelligent transportation system for anomaly detection in pedestrian walkways.

Scientific reports May 19, 2025
Anomaly Detection (AD) in pedestrian walkways is significant in urban safety and security methods. It is generally employed for perceiving unusual or abnormal situations, behaviours, or actions in regions devoted to pedestrian traffic, like pedestria...
Humans Algorithms Deep Learning Image Processing, Computer-Assisted Walking Pedestrians Transportation
View on PubMed DOI

T-RippleGNN: Predicting traffic flow through ripple propagation with attentive graph neural networks.

PloS one Jan 1, 2025
Recently, accurate traffic flow prediction has become a significant part of intelligent transportation systems, which can not only satisfy citizens' travel need and life satisfaction, but also benefit urban traffic management and control. However, tr...
Humans Neural Networks, Computer Algorithms Forecasting Transportation Graph Neural Networks
View on PubMed DOI

From COVID-19 to future electrification: Assessing traffic impacts on air quality by a machine-learning model.

Proceedings of the National Academy of Sciences of the United States of America Jun 29, 2021
The large fluctuations in traffic during the COVID-19 pandemic provide an unparalleled opportunity to assess vehicle emission control efficacy. Here we develop a random-forest regression model, based on the large volume of real-time observational dat...
Humans Machine Learning COVID-19 Algorithms Models, Theoretical Air Pollutants Air Pollution Particulate Matter Vehicle Emissions Electricity Transportation
View on PubMed DOI
Popular Topics
Recent Journals