English
norskBlar i forfatter Artikler, rapporter og annet (industriell teknologi) "Hatamzad, Mahshid"
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Addressing Uncertainty by Designing an Intelligent Fuzzy System to Help Decision Support Systems for Winter Road Maintenance
(Journal article; Tidsskriftartikkel; Peer reviewed, 2022-02-17)One of the main challenges in developing efficient and effective winter road maintenance is to design an accurate prediction model for the road surface friction coefficient. A reliable and accurate prediction model of road surface friction coefficient can help decision support systems to significantly increase traffic safety, while saving time and cost. High dynamicity in weather and road surface ... -
Intelligent cost-effective winter road maintenance by predicting road surface temperature using machine learning techniques
(Journal article; Tidsskriftartikkel; Peer reviewed, 2022-04-06)Since Winter Road Maintenance (WRM) is an important activity in Nordic countries, accurate intelligent cost-effective WRM can create precise advance plans for developing decision support systems to improve traffic safety on the roads, while reducing cost and negative environmental impacts. Lack of comprehensive knowledge and inaccurate WRM information would lead to a certain loss of WRM budget, ... -
Non-parametric Linear Technique for Measuring the Efficiency of Winter Road Maintenance in the Arctic Area
(Journal article; Tidsskriftartikkel; Peer reviewed, 2019-10-05)Improving the performance of Winter Road Maintenance (WRM) can increase the traffic safety and reduce the cost as well as environmental impacts. This study evaluates the efficiency of WRM technique, named salting, in the Arctic area by using Data Envelopment Analysis (DEA), which is a non-parametric linear method to measure the efficiencies of decision-making units (DMUs) based on handling multiple ... -
Using Deep Learning to Predict the Amount of Chemicals Applied on the Wheel Track for Winter Road Maintenance
(Journal article; Tidsskriftartikkel; Peer reviewed, 2022-03-30)The decade of big data has emerged in recent years, which has led to entering the era of intelligent transportation. One of the main challenges to deploying intelligent transportation is dealing with winter roads in cold climate countries. Different operations can be used to protect the road from ice and snow, such as spreading chemicals (here salt) on the road surface. Using salt for de-icing and ... -
Using Slightly Imbalanced Binary Classification to Predict the Efficiency of Winter Road Maintenance
(Journal article; Tidsskriftartikkel; Peer reviewed, 2021-11-30)The prediction of efficiency scores for winter road maintenance (WRM) is a challenging and serious issue in countries with cold climates. While effective and efficient WRM is a key contributor to maximizing road transportation safety and minimizing costs and environmental impacts, it has not yet been included in intelligent prediction methods. Therefore, this study aims to design a WRM ...
