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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | An Investigation for Enhancing the Shortest Path Problem in Real Time Information |
| Authors Name: | Greeshma Srivastava , Ankit |
| Unique Id: | IJSDR2107043 |
| Published In: | Volume 6 Issue 7, July-2021 |
| Abstract: | 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. |
| Keywords: | A * Algorithm, Shortest Path, Real Time Information |
| Cite Article: | "An Investigation for Enhancing the Shortest Path Problem in Real Time Information", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.6, Issue 7, page no.267 - 273, July-2021, Available :http://www.ijsdr.org/papers/IJSDR2107043.pdf |
| Downloads: | 000337070 |
| Publication Details: | Published Paper ID: IJSDR2107043 Registration ID:193529 Published In: Volume 6 Issue 7, July-2021 DOI (Digital Object Identifier): Page No: 267 - 273 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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