MODELLING SMART ROAD TRAFFIC CONGESTION CONTROL SYSTEM USING MACHINE LEARNING TECHNIQUES-Reference-Cited by-同舟云学术

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MODELLING SMART ROAD TRAFFIC CONGESTION CONTROL SYSTEM USING MACHINE LEARNING TECHNIQUES

Published:2019 Issue:2 Volume:29 Page:99-110
ISSN:1210-0552
Container-title:Neural Network World
language:
Short-container-title:NNW

Author:

Ata Ayesha,Khan Muhammad Adnan,Abbas Sagheer,Ahmad Gulzar,Fatima Areej

Publisher

Czech Technical University in Prague - Central Library

Subject

Artificial Intelligence,Hardware and Architecture,General Neuroscience,Software

Link

http://nnw.cz/doi/2019/NNW.2019.29.008.pdf

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3. A Cascaded transition recurrent feature network (CTRFN) based Paramount Transfer learning (PTL) model for traffic congestion prediction;Expert Systems with Applications;2024-08

4. Traffic management approaches using machine learning and deep learning techniques: A survey;Engineering Applications of Artificial Intelligence;2024-07

5. Reinforcement Learning for Traffic Control using social preferences;Recent Topics in Highway Engineering - Up-to-date Overview of Practical Knowledge [Working Title];2024-06-21

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