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Meisam Ghasedi
Meisam Ghasedi
University of Saskatchewan, Department of Geography and Planning
Zweryfikowany adres z usask.ca - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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Data-driven urban traffic accident analysis and prediction using logit and machine learning-based pattern recognition models
V Najafi Moghaddam Gilani, SM Hosseinian, M Ghasedi, M Nikookar
Mathematical problems in engineering 2021, 1-11, 2021
582021
Prediction and Analysis of the Severity and Number of Suburban Accidents Using Logit Model, Factor Analysis and Machine Learning: A case study in a developing country
M Ghasedi, M Sarfjoo, I Bargegol
SN Applied Sciences 3 (1), 13, 2021
282021
Delay modeling of un-signalized roundabouts using neural network and regression
I Bargegol, VNM Gilani, M Ghasedi, M Ghorbanzadeh
Computational Research Progress in Applied Science & Engineering 2 (1), 28-34, 2016
262016
Evaluation of effective factors on travel time in optimization of bus stops placement using genetic algorithm
I Bargegol, M Ghorbanzadeh, M Ghasedi, M Rastbod
IOP Conference Series: Materials Science and Engineering 245 (4), 042002, 2017
152017
Estimation delay variation and probability of occurrence of different level of services based on random variations of vehicles entering signalized intersections
VNM Gilani, M Ghasedi, M Ghorbanzadeh, MJ Samet
IOP conference series: materials science and engineering 245 (4), 042023, 2017
122017
Robust Optimization of Bus Stop Placement Based on Dynamic Demand Using Meta Heuristic Approaches: A Case Study in a Developing Country
M Ghasedi, M Ghorbanzadeh, I Bargegol
Transport and Telecommunication 22 (1), 39-52, 2021
82021
Research Article Data-DrivenUrbanTrafficAccidentAnalysisandPredictionUsing Logit and Machine Learning-Based Pattern Recognition Models
VNM Gilani, SM Hosseinian, M Ghasedi, M Nikookar
2021
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