An Optimal Deep Learning for Cooperative Intelligent Transportation System-Reference-Cited by-同舟云学术

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An Optimal Deep Learning for Cooperative Intelligent Transportation System

Published:2022 Issue:1 Volume:72 Page:19-35
ISSN:1546-2226
Container-title:Computers, Materials & Continua
language:en
Short-container-title:

Author:

Lakshmi K.,Nagineni Srinivas,Laxmi Lydia E.,Francis Saviour Devaraj A.,Nandan Mohanty Sachi,V. Pustokhina Irina,A. Pustokhin Denis

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanics of Materials,Modeling and Simulation,Biomaterials

Link

https://www.techscience.com/cmc/v72n1/46833/pdf

Reference27 articles.

1. On the interrelation of security, QoS, and safety in cooperative ITS;Javed;IEEE Transactions on Intelligent Transportation Systems,2017

2. Data analytics for cooperative intelligent transport systems;Javed;Vehicular Communications,2019

3. A cloud-based smart-parking system based on internet-of-things technologies;Pham;IEEE Access,2015

4. Towards a practical crowdsensing system for road surface conditions monitoring;El-Wakeel;IEEE Internet Things Journal,2018

5. The mapreduce-based approach to improve vehicle controls on big traffic events;Adoni,2017

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2. Research on optimization method for traffic signal control at intersections in smart cities based on adaptive artificial fish swarm algorithm;Heliyon;2024-05

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4. Exploration on Simulation and Optimization of Intelligent Transportation System Based on Artificial Intelligence and Virtual Simulation;2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT);2023-10-20

5. PITS: An Intelligent Transportation System in pandemic times;Engineering Applications of Artificial Intelligence;2022-09

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