2021
DOI: 10.4236/oalib.1107985
|View full text |Cite
|
Sign up to set email alerts
|

Designing an Intelligent Real-Time Public Transportation Monitoring System Based on IoT

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
5
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
4
3
1

Relationship

0
8

Authors

Journals

citations
Cited by 10 publications
(5 citation statements)
references
References 13 publications
0
5
0
Order By: Relevance
“…Using VisualC++ to simulate the system prototype on the Windows2010 platform, verify the validity of the system. The vocal signals of three different locations in a monitoring area collected by the system sound sensor are shown in Figures 4-6 [24]. It can be seen from the figure that the curve of the vocal signal collected by the system is smooth, there is no burr, and no signal interruption occurs, indicating that the system is running stably and the sound quality of the collected vocal signal is good [25].…”
Section: Results Analysismentioning
confidence: 97%
“…Using VisualC++ to simulate the system prototype on the Windows2010 platform, verify the validity of the system. The vocal signals of three different locations in a monitoring area collected by the system sound sensor are shown in Figures 4-6 [24]. It can be seen from the figure that the curve of the vocal signal collected by the system is smooth, there is no burr, and no signal interruption occurs, indicating that the system is running stably and the sound quality of the collected vocal signal is good [25].…”
Section: Results Analysismentioning
confidence: 97%
“…However, the model was not implemented for predicting low-speed regions and urban areas. The study in [124] centered on designing an intelligent real-time public transportation monitoring system based on IoT. The study aimed at designing a system that reduces passengers' waiting time.…”
Section: Systematic Analysis Of the Application Of 4ir Technologies I...mentioning
confidence: 99%
“…In the research work of Thair [17], a mobile application was proposed to help users to find public transportation and arrival times. This system provides information to determine the nearest buses to a user, the real-time location of buses on a Google map to help passengers track buses in real time, the arrival time of buses, and the speed of the buses.…”
Section: Related Workmentioning
confidence: 99%