2020
DOI: 10.1088/1742-6596/1486/2/022022
|View full text |Cite
|
Sign up to set email alerts
|

Design and Implementation of Roadside Intelligent Information Interaction System Based on Edge Computing

Abstract: Under the influence of artificial intelligence (AI), Internet of Things (IOT) and big data technology, V2X vehicle infrastructure cooperative technology is rapidly applied to intelligent traffic management and road condition services. However, the existing roadside traffic control equipment has difficulty in data aggregation and processing, that cannot meet the application requirements of the intelligent connection and edge calculation of the V2X vehicle infrastructure cooperative device. In this paper, the “e… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
4
2

Relationship

0
6

Authors

Journals

citations
Cited by 8 publications
(3 citation statements)
references
References 0 publications
0
3
0
Order By: Relevance
“…In recent years, the problem of resource allocation in moving edge computing has attracted extensive research attention. Taking the power minimization of mobile devices as the optimization objective, the resource allocation problem of mobile edge computing is studied, and the backhaul capacity limit, interference, and tolerable waiting time are considered [4,5]. Based on linear programming, an optimal allocation strategy for multiple resources (computing power and wireless bandwidth) is proposed, and performance improvements in system throughput and service delay are demonstrated [6].…”
Section: Related Workmentioning
confidence: 99%
“…In recent years, the problem of resource allocation in moving edge computing has attracted extensive research attention. Taking the power minimization of mobile devices as the optimization objective, the resource allocation problem of mobile edge computing is studied, and the backhaul capacity limit, interference, and tolerable waiting time are considered [4,5]. Based on linear programming, an optimal allocation strategy for multiple resources (computing power and wireless bandwidth) is proposed, and performance improvements in system throughput and service delay are demonstrated [6].…”
Section: Related Workmentioning
confidence: 99%
“…Autonomous mobility has been improved with approaches like Advanced Driver-Assistance System (ADAS) [4], Connected Autonomous Driving (CAD) [5], Unmanned Aerial Vehicle (UAV) and Unmanned Ground Vehicle (UGV) [6]. Furthermore, it foresees techniques for vehicle-user-city interaction [7], route management, intelligent traffic management, charging, and energy management. Lastly, remote diagnostics [8], intelligent public transport management, and safe and reliable road systems [6], among others, are emerging as the future of intelligent mobility.…”
Section: Introductionmentioning
confidence: 99%
“…Transmission line equipment is exposed to the wild for many years, especially in remote areas. Due to harsh weather, birds and beasts, and human-made reasons, transmission lines are prone to failure [5].…”
Section: Introductionmentioning
confidence: 99%