Safe Travel: Road Accident Analysis, Severity Prediction, and Safe Route Mapping

Year : 2024 | Volume : 15 | Issue : 03 | Page : 39 44
    By

    Siddhesh Shivekar,

  • Parth Surve,

  • Prathamesh Walawalkar,

  • Asad Mujawar,

  • Jignesh Patil,

  1. Undergraduate Student,, Department of Computer Engineering, Rajiv Gandhi Institute of Technology Mumbai University, Mumbai, Maharashtra,, India.
  2. Undergraduate Student,, Department of Computer Engineering, Rajiv Gandhi Institute of Technology Mumbai University, Mumbai, Maharashtra,, India.
  3. Undergraduate Student,, Department of Computer Engineering, Rajiv Gandhi Institute of Technology Mumbai University, Mumbai, Maharashtra,, India
  4. Undergraduate Student,, Department of Computer Engineering, Rajiv Gandhi Institute of Technology Mumbai University, Mumbai, Maharashtra,, India
  5. Assistant Professor,, Department of Computer Engineering, Rajiv Gandhi Institute of Technology Mumbai University, Mumbai, Maharashtra,, India

Abstract

Road accidents pose a significant threat to public health, resulting in millions of injuries and fatalities annually. With an estimated 1.2 million lives lost and 20 to 50 million people injured each year, the escalating trend of traffic accidents demands urgent attention. To address this issue, specialists utilize advanced algorithms such as random forests to analyze historical road crash data, aiming to predict accident hotspots. By identifying patterns and trends within this data, our study aims to uncover the root causes of accidents, enabling proactive prevention measures. Through a user-friendly web application, individuals can access real-time information about accident-prone areas within a 250-meter radius of their location. Leveraging data analysis and visualization tools like Power BI, Excel, and SQL, we pinpoint deficiencies in the current road infrastructure and collaborate with authorities to formulate targeted safety strategies and regulations. Our goal is to enhance road safety, reduce accidents, and save lives.

Keywords: Big data, structured query language (SQL), Power BI, road accident, leaflet js, HTML, cascading style sheet (CSS), severity prediction, random forest, prediction, road map

[This article belongs to Journal of Remote Sensing & GIS ]

How to cite this article:
Siddhesh Shivekar, Parth Surve, Prathamesh Walawalkar, Asad Mujawar, Jignesh Patil. Safe Travel: Road Accident Analysis, Severity Prediction, and Safe Route Mapping. Journal of Remote Sensing & GIS. 2024; 15(03):39-44.
How to cite this URL:
Siddhesh Shivekar, Parth Surve, Prathamesh Walawalkar, Asad Mujawar, Jignesh Patil. Safe Travel: Road Accident Analysis, Severity Prediction, and Safe Route Mapping. Journal of Remote Sensing & GIS. 2024; 15(03):39-44. Available from: https://journals.stmjournals.com/jorsg/article=2024/view=176807


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    Api/Public/ViewPublication/811059
Regular Issue Subscription Review Article
Volume 15
Issue 03
Received 05/07/2024
Accepted 17/07/2024
Published 10/09/2024
286

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