Real-Time Road Safety: A Web and Mobile Application Approach to Mitigating Animal-Vehicle Conflicts in Sri Lanka


Authors : Amerasinghe N.D.K; Anuradha Jayakody; P.K.P.M Pradeep Kumara

Volume/Issue : Volume 9 - 2024, Issue 8 - August

Google Scholar : https://tinyurl.com/mr427baf

Scribd : https://tinyurl.com/24uuzcx3

DOI : https://doi.org/10.38124/ijisrt/IJISRT24AUG1678

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Abstract : This research paper presents a pioneering web and mobile application aimed at mitigating the rising issue of animal-vehicle collisions in Sri Lanka, a concern that poses significant risks to both human safety and wildlife preservation. The application leverages a combination of knowledge-based case studies and crowd- sourcing techniques to enhance real-time road safety by identifying animal habitats and behaviors in proximity to users' locations. Through the web platform, users can input data on observed wildlife interactions and animal- vehicle conflicts, contributing to a comprehensive database for statistical analysis and predictive modelling. This information is used to generate real-time alerts and feedback, enabling drivers to take precautionary measures. The mobile application, utilizing geofencing and geotargeting technologies, provides real-time alerts, facilitates user feedback, and fosters community participation in ensuring safer roads. In addition to mitigating accidents, the application serves as an educational tool, offering guidelines and raising public awareness about the importance of road safety in areas rich in wildlife. By fostering a collaborative effort among users, this solution aims to reduce the frequency of animal-vehicle collisions, thereby promoting safer roads for both humans and animals in Sri Lanka.

Keywords : AVC (Animal Vehicle Collision), Animal Behavior and Habitat, Crowdsourcing, Geofencing, Geotargeting, GIS.

References :

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This research paper presents a pioneering web and mobile application aimed at mitigating the rising issue of animal-vehicle collisions in Sri Lanka, a concern that poses significant risks to both human safety and wildlife preservation. The application leverages a combination of knowledge-based case studies and crowd- sourcing techniques to enhance real-time road safety by identifying animal habitats and behaviors in proximity to users' locations. Through the web platform, users can input data on observed wildlife interactions and animal- vehicle conflicts, contributing to a comprehensive database for statistical analysis and predictive modelling. This information is used to generate real-time alerts and feedback, enabling drivers to take precautionary measures. The mobile application, utilizing geofencing and geotargeting technologies, provides real-time alerts, facilitates user feedback, and fosters community participation in ensuring safer roads. In addition to mitigating accidents, the application serves as an educational tool, offering guidelines and raising public awareness about the importance of road safety in areas rich in wildlife. By fostering a collaborative effort among users, this solution aims to reduce the frequency of animal-vehicle collisions, thereby promoting safer roads for both humans and animals in Sri Lanka.

Keywords : AVC (Animal Vehicle Collision), Animal Behavior and Habitat, Crowdsourcing, Geofencing, Geotargeting, GIS.

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