
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 7 Issue 4
July-August 2025
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"IoT-Enabled Smart Road Safety System for Accident Mitigation on Curved Mountain Roads"
Author(s) | Mr. Amol J More, Dr. Shivaji S Gadadhe, Mr. Vallabh Shinde |
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Country | India |
Abstract | Mountain roads pose particular safety risks because of their steep slopes, tight turns, poor visibility, and susceptibility to erratic weather. The likelihood of car accidents is greatly increased by these conditions, especially in blind spots and places that are prone to landslides or are slippery. Conventional safety measures, like speed limits, manual monitoring, and static signage, are mostly reactive and have limited efficacy. The Smart Road Safety and Vehicle Accident Prevention System presented in this study integrates cutting-edge technologies such as the Internet of Things (IoT), artificial intelligence (AI), and vehicle-to-everything (V2X) communication to overcome these constraints. It is especially made for mountainous terrains. In order to gather real-time data on important parameters, such as road surface conditions, traffic flow, vehicle behavior, and environmental elements like fog, temperature, and gas presence, the suggested system makes use of a network of smart sensors that are integrated into both the road infrastructure and automobiles. In order to anticipate possible risks and provide drivers with timely warnings through onboard systems and roadside displays, this data are processed using AI algorithms. Furthermore, the system facilitates connection between vehicles and infrastructure (V2I and V2V), allowing for dynamic information exchange, particularly at blind turns and narrow roads. The system's capacity to identify collisions or hazardous driving situations and instantly send GPS-coordinated emergency notifications to surrounding hospitals and control centers, guaranteeing prompt rescue and reaction, is one of its key features. Both cloud systems and onboard black boxes securely retain data for in-the-moment analysis and post-event assessment.The system's ability to improve driver situational awareness and lower accident rates is confirmed by experimental simulations. In addition to being scalable and terrain-adaptable, the system facilitates integration with national intelligent transportation frameworks. All things considered, this strategy offers a proactive, astute, and long-lasting way to enhance traffic safety in intricate mountainous areas. |
Keywords | Smart Road Safety, Vehicle Accident Prevention, Internet of Things (IoT), Vehicle-to-Infrastructure (V2I), Vehicle-to-Vehicle (V2V), Real-time Monitoring, Hazard Detection |
Field | Engineering |
Published In | Volume 7, Issue 3, May-June 2025 |
Published On | 2025-06-30 |
DOI | https://doi.org/10.36948/ijfmr.2025.v07i03.49875 |
Short DOI | https://doi.org/g9r8df |
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E-ISSN 2582-2160

CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
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