An Investigation for Enhancing the Shortest Path Problem in Real Time Information
Greeshma Srivastava
, Ankit
A * Algorithm, Shortest Path, Real Time Information
It is necessary to provide a dependable, realistic, and scalable network for Adhoc communication between cars in order to enable intelligent traffic communication. This paper takes everything into consideration while creating our modified model for the quickest route. In this case, our approach offers the user more than one route/path to take in order to reach the goal. The purpose of a position tracking system is to identify the shortest route possible in order to save time. whereas the earlier model only considered the shortest distance and did not consider the time factor. Earlier models only considered the shortest distance and did not consider the time factor. In this case, artificial intelligence is being used to monitor the location of the item and then determine the shortest route between the source and the destination. The shortest path is the most direct route from point A to point B, and it will make use of artificial intelligence to aid in decision-making power. In order This addition provides us with a This improvement gets the realities of world. In this way, the real-world implications of this model provide us with additional real-world parameters and a real-time situation for route traveling. Travelers will save time as a result of this. In addition, we put the findings of the experiments into practice by communicating with moving cars through wireless sensor networks (WSNs) radios of various types and configurations. Our goal is to offer measurable background knowledge on various types of automotive networking methods in order to identify the most effective solution for a variety of distinct use scenarios. The suggested method, which makes use of real-time information, provides us with a more dynamic model for determining the quickest route. Its ability to offer real-time information makes it the ideal model for the future, and its improvement gets us closer to real-time circumstances while saving passengers' time.
"An Investigation for Enhancing the Shortest Path Problem in Real Time Information", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.6, Issue 7, page no.267 - 273, July-2021, Available :https://ijsdr.org/papers/IJSDR2107043.pdf
Volume 6
Issue 7,
July-2021
Pages : 267 - 273
Paper Reg. ID: IJSDR_193529
Published Paper Id: IJSDR2107043
Downloads: 000347234
Research Area: Engineering
Country: -, -, -
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
