Motorcycle Crash Detection and Alert System using IoT
Motorcycle travel is considered the most dangerous mode of transport in the world. Reports suggest that the fatality rate of motorcycles is 212.7 deaths for every million miles travelled on motorcycles. Unlike other forms of travel like cars, buses, etc, motorcycles expose the rider to their surroun...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2023-01-01
|
| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/28/e3sconf_icmed-icmpc2023_01145.pdf |
| _version_ | 1827929920824672256 |
|---|---|
| author | Karuna G. Kumar R.P. Ram Sai Vadlapatla Tarun Sri Abhishek Jula Shashikanth Mood Kashyap Burra |
| author_facet | Karuna G. Kumar R.P. Ram Sai Vadlapatla Tarun Sri Abhishek Jula Shashikanth Mood Kashyap Burra |
| author_sort | Karuna G. |
| collection | DOAJ |
| description | Motorcycle travel is considered the most dangerous mode of transport in the world. Reports suggest that the fatality rate of motorcycles is 212.7 deaths for every million miles travelled on motorcycles. Unlike other forms of travel like cars, buses, etc, motorcycles expose the rider to their surroundings. In cars, the frame protects the driver from hitting the road or falling out of the car. But motorcycles do not have such a possibility. Therefore, the best way to minimize fatalities in accidents is to have an alert system that can alert the emergency services when it detects an imminent crash. This is where the motorcycle crash detection and alert system comes into the picture. It uses the MPU6050 Multi-axes accelerometer to detect when the motorcycle falls to its side. It sends the impact parameters to Firebase cloud and if the values meet the crash criteria, it sends an alert to the emergency contacts as well as to the emergency response services, who can then act according to it. |
| first_indexed | 2024-03-13T06:28:21Z |
| format | Article |
| id | doaj.art-e2c7cb51525e452e8db25a47fce0c1e4 |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-03-13T06:28:21Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-e2c7cb51525e452e8db25a47fce0c1e42023-06-09T09:11:31ZengEDP SciencesE3S Web of Conferences2267-12422023-01-013910114510.1051/e3sconf/202339101145e3sconf_icmed-icmpc2023_01145Motorcycle Crash Detection and Alert System using IoTKaruna G.0Kumar R.P. Ram1Sai Vadlapatla Tarun Sri2Abhishek Jula3Shashikanth Mood4Kashyap Burra5Department of AIMLE, GRIETDepartment of AIMLE, GRIETUG Student, Department of CSBS, GRIETUG Student, Department of CSBS, GRIETUG Student, Department of CSBS, GRIETUG Student, Department of CSBS, GRIETMotorcycle travel is considered the most dangerous mode of transport in the world. Reports suggest that the fatality rate of motorcycles is 212.7 deaths for every million miles travelled on motorcycles. Unlike other forms of travel like cars, buses, etc, motorcycles expose the rider to their surroundings. In cars, the frame protects the driver from hitting the road or falling out of the car. But motorcycles do not have such a possibility. Therefore, the best way to minimize fatalities in accidents is to have an alert system that can alert the emergency services when it detects an imminent crash. This is where the motorcycle crash detection and alert system comes into the picture. It uses the MPU6050 Multi-axes accelerometer to detect when the motorcycle falls to its side. It sends the impact parameters to Firebase cloud and if the values meet the crash criteria, it sends an alert to the emergency contacts as well as to the emergency response services, who can then act according to it.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/28/e3sconf_icmed-icmpc2023_01145.pdf |
| spellingShingle | Karuna G. Kumar R.P. Ram Sai Vadlapatla Tarun Sri Abhishek Jula Shashikanth Mood Kashyap Burra Motorcycle Crash Detection and Alert System using IoT E3S Web of Conferences |
| title | Motorcycle Crash Detection and Alert System using IoT |
| title_full | Motorcycle Crash Detection and Alert System using IoT |
| title_fullStr | Motorcycle Crash Detection and Alert System using IoT |
| title_full_unstemmed | Motorcycle Crash Detection and Alert System using IoT |
| title_short | Motorcycle Crash Detection and Alert System using IoT |
| title_sort | motorcycle crash detection and alert system using iot |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/28/e3sconf_icmed-icmpc2023_01145.pdf |
| work_keys_str_mv | AT karunag motorcyclecrashdetectionandalertsystemusingiot AT kumarrpram motorcyclecrashdetectionandalertsystemusingiot AT saivadlapatlatarunsri motorcyclecrashdetectionandalertsystemusingiot AT abhishekjula motorcyclecrashdetectionandalertsystemusingiot AT shashikanthmood motorcyclecrashdetectionandalertsystemusingiot AT kashyapburra motorcyclecrashdetectionandalertsystemusingiot |