Simulation and Analysis of Congestion in Vehicle Networks by Using Machine Learning Framework-Reference-Cited by-同舟云学术

Simulation and Analysis of Congestion in Vehicle Networks by Using Machine Learning Framework

Published:2023-05-25 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)
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Author:

Gupta Raj Kumar¹,Kumari R. Krishna²,Anbu C.³,Meganathan R.⁴,Rajah A. Joseph Lourdu⁵,Dobhal Dinesh Chandra⁶

Affiliation:

1. Sardar Vallabhbhai Patel College,Department of Physics,Bhabua,Bihar,India,821101

2. College of Engineering and Technology, SRM Institute of Science and Technology,Department of Career Development Centre,Kattankulathur,Tamil Nadu,India,603203

3. Kongu Engineering College,Department of Mechatronics Engineering,Erode,Tamil Nadu,India,638060

4. Koneru Lakshmaiah Education Foundation,Department of Computer Science and Engineering,Vaddeswaram,Andhra Pradesh,India,22302

5. PSNA College of Engineering and Technology (Autonomous),Department of English,Dindigul,Tamil Nadu,India,624622

6. Graphic Era Deemed to be University,Department of Computer Science and Engineering,Dehradun,Uttarakhand,India,248002

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10199113/10199175/10201081.pdf?arnumber=10201081

Reference17 articles.

1. Traffic flow characteristics in a mixed traffic system consisting of ACC vehicles and manual vehicles: A hybrid modelling approach

2. Model predictive control for discrete event systems with partial synchronization

3. A Stochastic Geometry Approach to the Modeling of DSRC for Vehicular Safety Communication

4. Modeling heterogeneous traffic flow: A pragmatic approach

5. Intelligent Vehicle Counting and Classification Sensor for Real-Time Traffic Surveillance