International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 11 Issue: 07 | July 2024
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p-ISSN: 2395-0072
Advanced Vehicle Collision Detection and Prevention System Dr. Varalatchoumy M 1, Mr. Rajesh Kumar S 2, Thiru Venkat R 3, Mohammad Wael Umar 4, Ramya Shree R 5 1 Head - Department of AIML, Cambridge Institute of Technology, Bangalore
2 Professor - Department of Computer Science and Engineering, Cambridge Institute of Technology, Bangalore 345 Under Graduate Student - Department of AIML, Cambridge Institute of Technology, Bangalore
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Abstract - Vehicle accident detection systems incorporate
wireless communication capabilities and functionalities for processing, sensing, and storage. This integrated infrastructure, combining components for sensing and computing, is designed to enhance road safety.
cutting-edge safety mechanisms to prevent and minimize accidents proactively. By leveraging sensors, these systems can identify elevated vehicle speeds and promptly alert the driver. In the event of driver negligence, the system takes proactive measures by automatically halting the vehicle, thereby averting potential collisions. In the regrettable occurrence of an accident, these systems activate automatic distress signals, notifying the driver's pre-assigned emergency contacts, including family members. Simultaneously, nearby hospitals and emergency services are alerted, facilitating a rapid response. This swift notification process plays a crucial role in expediting medical attention and assistance, potentially saving lives through reduced response times in critical situations
Key Words: Sensors, Vibration, GPS, App development, embedded system, IoT, AI etc
FIGURE 1: ROAD ACCIDENTS IMPACT IN PUBLIC AREAS
I. INTRODUCTION
To further bolster road safety measures, the paper advocates for a pre-detection system. This system aims to identify potential accidents before they occur by collecting information about the vehicle's surroundings on the road. The gathered data is then utilized to alert the driver, aiding in the prevention of potential mishaps. Simultaneously, the post-accident detection and alert system focuses on recognizing accidents that have already happened. Once detected, this system promptly notifies emergency teams, enabling them to provide timely assistance and support to the victims.
In recent times, the unprecedented expansion of population and industry has led to a significant increase in the number of vehicles on the roads [1]. This surge in traffic in towns and cities can be attributed to the affordability of cars for the average consumer, making personal vehicles indispensable for daily commuting [1]. Additionally, the limited frequency and reliability of public transport further encourage individuals to prefer personal vehicles [1]. Unfortunately, this surge in vehicular activity has resulted in alarming consequences for road safety in India. In 2022, the country witnessed a 9.4% increase in fatalities due to road accidents, with 1.68 lakh lives lost. The causes ranged from reckless driving and over-speeding to drunken driving and noncompliance with traffic regulations. Simultaneously, the total number of accidents escalated by 11.9%, reaching 4.61 lakh incidents. To address these critical issues, this paper introduces a fixed design model that integrates physical hardware components and software programs. These components are instrumental in collecting and analyzing information, allowing for the
Given that roads are the predominant means of travel, connecting cities and villages, the increasing number of vehicles has heightened the likelihood of vehicular accidents, particularly during adverse weather conditions [2]. Challenges such as poor visibility and delays in receiving incident information can lead to multiple vehicle collisions. To address this, the paper recommends the use of sensors in vehicles orsmartphones to promptly detect accidents [7]. The lack of an effective alerting system and emergency provision exacerbates the occurrence and severity of road accidents in the country [9]. Therefore, the paper underscores the importance of implementing a comprehensive framework to reduce the likelihood of accidents and provide timely medical assistance to accident victims [9]. In doing so, these collective efforts aim to
implementation of Artificial Intelligence algorithms for informed decision-making. The primary objective of this research is to serve society by leveraging new technologies to minimize road accidents [10]. The proposed model comprises compact, affordable devices equipped with
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