Artificial Intelligence Based Automated Traffic Management System
Transportation is the cornerstone of our economy. The advancement in computer technologies plays an important role in the evolution of the smart transportation system. As there is a vast increase in the number of vehicles, the probability of occurrence of traffic congestion is also more. This traffic problem continues to be a major problem in many of the developing cities throughout the world which occur due to the poorly planned road network. This problem mainly occurs at peak times that may be going to offices, colleges or schools and way back to home. This traffic problem can be avoided by implementing smart transportation management techniques. When the problem occurs the smart traffic monitoring approach is used to avoid congestion. By using this approach the status of the emergency vehicles can be identified which can reduce the congestion. The main aim is to get rid of congestion. The traffic congestion can also be detected by capturing the images using cameras which are present at various locations in the developing cities
Year of publication: |
[2021]
|
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Authors: | Pooja, D. Sai ; Katta, Vaishnavi ; Chandra, S. Mani Sharath |
Publisher: |
[S.l.] : SSRN |
Subject: | Künstliche Intelligenz | Artificial intelligence | Automatisierung | Automation | Expertensystem | Expert system |
Saved in:
freely available
Extent: | 1 Online-Ressource (10 p) |
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Type of publication: | Book / Working Paper |
Language: | English |
Notes: | Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments August 19, 2019 erstellt |
Other identifiers: | 10.2139/ssrn.3770145 [DOI] |
Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013240466
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