Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Drivers often evince gratuitous “hurry up and wait” behaviour, leading to violation of traffic rules and causing accidents. The acceleration also causes a loss in energy as well as fuel if the vehicle stops completely. Also, roads are becoming overloaded with an increasing number of vehicles, this situation urges predominance on a signal with the relevance of user vehicle speed. So, we propose an application based system which allows the user to adjust the speed of the vehicle in accordance with signal moniterance. The system also advises the user about speed prediction and to take the decision to avoid tramping over the signal which could be disastrous. It provides the real-time density of traffic using sensors on a particular route. The system shows influences of IOT the Internet of Things refers to the ever-growing network of physical objects for internet connectivity and the communication that occurs between objects and other Internet-enabled devices and systems. However, the RF device will measure the distance of the user's vehicle from the signal. After an assessment of the speed, the user will be assisted with the desired safe speed.
Keywords:
Optimal speed advisory, Signal manipulation, Traffic density
Cite Article:
"IOT Based System Providing User Assistance for Signal Monitoring and Alerting", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.4, Issue 4, page no.128 - 131, April-2019, Available :http://www.ijrti.org/papers/IJRTI1904027.pdf
Downloads:
000205074
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator