UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 2
February-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2102252


Registration ID:
305528

Page Number

2075-2079

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Title

Traffic Flow Prediction and Air Quality Monitoring in Smart City

Abstract

The traffic flow in the smart city is the most popular issue in current days. Importance of finding such solution derives from the current problems faced by urban road traffic, such as congestions, pollution, security issues. In existing system predict the traffic on the basis of a large special event only. To solve the existing problem, we developed a new proposed system, in that can collect the raw data of the traffic flow of different areas in the smart city. After collecting, analyzing, predict the current traffic in a different area, predict how much traffic increase in the next few days or year and how to control them. In view of characterizing and ordering the enormous unique occasions, this framework investigates the traveler stream dispersion attributes of huge extraordinary occasions. We also provide ambivalent Air Quality Index is monitored and thus suggesting path having the least pollution to travel from current place to that particular place on the map. It concurrently decreases the harmful effect of air pollution on vulnerable people. K-Nearest Neighbors (KNN) algorithm is used to defend the shortest path from source to destination and simultaneously evaluating the air quality index and guiding optimal path as a result. The system designs common process of traffic organization and management for different large special events as well as for daily use and steps forward towards a healthy lifestyle.

Key Words

Air Quality Index, K-Nearest Neighbors (KNN), Smart City, Traffic Prediction

Cite This Article

"Traffic Flow Prediction and Air Quality Monitoring in Smart City", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 2, page no.2075-2079, February-2021, Available :http://www.jetir.org/papers/JETIR2102252.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Traffic Flow Prediction and Air Quality Monitoring in Smart City", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 2, page no. pp2075-2079, February-2021, Available at : http://www.jetir.org/papers/JETIR2102252.pdf

Publication Details

Published Paper ID: JETIR2102252
Registration ID: 305528
Published In: Volume 8 | Issue 2 | Year February-2021
DOI (Digital Object Identifier):
Page No: 2075-2079
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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