The United States grapples with significant road safety challenges due to high traffic volumes and frequent accidents. In 2020, Forbes reported that there were 35,766 fatal car accidents in the U.S. Also, 1,593,390 crashes caused injuries, and 3,621,681 led to property damage. In total, there were 5,250,837 collisions that year, showing a significant problem with vehicle accidents in America. Drive Dash is an advanced system designed to learn from past crash data in Baltimore. It analyzes hotspots for crashes involving both trucks and regular vehicles. This system has an easy-to-use interface made with React for users, and it runs on Python with a containerized MongoDB backend. For hotspot analysis, the system looked at 170,000 records from 2015 to 2021, using methods like density estimation and clustering. The results showed that Gaithersburg had the highest number of crashes at 14.2%, totaling 22,685. In Derwood, medium truck crashes accounted for 13.7% (238), while heavy truck crashes in Silver Spring reached 17.2% (236). Drive Dash combines MongoDB with ReactJS for quick data access. It identifies areas with frequent vehicle and truck crashes, aiding city planners in improving infrastructure and helping travelers steer clear of these hazardous spots. This study serves as a vital tool for civic planners to pinpoint trouble areas for better road safety measures, ultimately making traveling safer for everyone.


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    Title :

    Drive Dash: Vehicle Crash Insights Reporting System


    Contributors:


    Publication date :

    2024-10-25


    Size :

    1090737 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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