CRIME HOTSPOT DETECTION AND SAFE PATH SCHEMER USING STATISTICAL AND GEO-SPATIAL METHODS

Registration ID: IJNRD_193873

Published ID: IJNRD2305047

DOI: Click Here to Get

Shraddha Bhat , Mr. Mohammed Aimon , Ms. Rashmitha Hegde , Mr. Shadman , Mrs. Jyothi Prasad

K-Means Clustering, Crime hotspot detection, Safest path, Crime count

The safe path schemer and crime hotspot identification methods used in this research study combine statistical and GIS techniques. The suggested methodology makes use of crime data from numerous sources, such as police reports, social media, and citizen reporting systems, to pinpoint urban crime hotspots. The statistical techniques used include regression analysis, hypothesis testing, and clustering based on density. The results of the statistical analysis are visualized using geospatial techniques like geographic information systems (GIS), which are also used to find spatial patterns and connections between crime hotspots and other urban aspects like land use and transportation systems. Additionally, a safe path schemer is created using a network analysis algorithm that makes use of the data from crime hotspots to determine the safest and most practical paths for both vehicles and pedestrians. To determine the safest paths, the algorithm takes into account a number of variables, such as crime rates, road connections, and automobile and pedestrian traffic. The suggested methodology is evaluated using actual crime statistics from a large metropolis, and the findings demonstrate that the system is successful in locating crime hotspots and offering safe route planners for metropolitan areas. Overall, this research study makes a significant contribution to the subject of urban crime prevention and public safety and offers insights into the application of statistical and geospatial methodologies to enhance crime prevention efforts and foster safer urban settings.

Published Paper   E-Certificate

Shraddha Bhat, Mr. Mohammed Aimon, Ms. Rashmitha Hegde, Mr. Shadman, & Mrs. Jyothi Prasad (May-2023). CRIME HOTSPOT DETECTION AND SAFE PATH SCHEMER USING STATISTICAL AND GEO-SPATIAL METHODS. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), a348-a353. https://ijnrd.org/papers/IJNRD2305047.pdf

Volume 8 Issue 5, May-2023

Pages : a348-a353

Paper Reg. ID: IJNRD_193873

Published Paper Id: IJNRD2305047

Downloads: 000122002

Research Area: Engineering

Country: Moodubidri, Karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305047.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305047

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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