WITHDRAWN: Automatic vehicle accident detection and rescue system

Radhakrishnan, Reshma; Nellisserry, Livin Anto; Muralikrishnan, O.; Thambi, Rojan; Parvathy, M.

doi:10.1016/j.matpr.2020.12.1141

Cited by 3 publications

(2 citation statements)

References 5 publications

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“…The eCall is an alarm system initiated in Europe that can automatically provide assistance information to the emergency service station after a traffic accident or a crash [104,105]. The in-vehicle eCall using E112 wireless communication technology can be triggered manually by in-vehicle passengers pressing a button or independently after the sensor senses a collision, and then communication between the vehicle passenger and the nearest professional operator of the emergency service station will be established.…”

Section: Ecallmentioning

confidence: 99%

Trends and Emerging Technologies for the Development of Electric Vehicles

Liu

Lau

et al. 2022

Energies

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In response to severe environmental and energy crises, the world is increasingly focusing on electric vehicles (EVs) and related emerging technologies. Emerging technologies for EVs have great potential to accelerate the development of smart and sustainable transportation and help build future smart cities. This paper reviews new trends and emerging EV technologies, including wireless charging, smart power distribution, vehicle-to-home (V2H) and vehicle-to-grid (V2G) systems, connected vehicles, and autonomous driving. The opportunities, challenges, and prospects for emerging EV technologies are systematically discussed. The successful commercialization development cases of emerging EV technologies worldwide are provided. This review serves as a reference and guide for future technological development and commercialization of EVs and offers perspectives and recommendations on future smart transportation.

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Section: Ecallmentioning

confidence: 99%

Trends and Emerging Technologies for the Development of Electric Vehicles

Liu

Lau

et al. 2022

Energies

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“…Find the quickest path for the ambulance to arrive at the accident scene using the Dijkstra Algorithm [3,4]. In this paper, the system proposes sliding of the seat position away from the area of crash and automatic unlocking of doors [7]. In this work, MEMS sensor and vibration sensor are used to detect accident of the vehicle and it will communicate to the microcontroller.…”

Section: Literature Reviewmentioning

confidence: 99%

An Enhanced Accident Detection and Recovery System Using MEMS Technology

Purushothamans,

Mohanavel,

Kalaichelvi

2022

Acta Electrotechnica Et Informatica

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This is an intention to implement an innovative solution for this problem by developing an automatic accident detection system and recovery analysis play an important role. By using this mobile (SMS) and also with the help of embedded technology we can solve this problem. An accelerometer can be used in a car alarm application; Dangerous driving can be detected with an accelerometer. The vibration sensor detects the accident. The MEMS sensor detects a rollover and alerts the driver. A major accident can be detected using accelerometer readings. According to this idea, when a car is involved in an accident, the vehicle number and contact information for the people involved are promptly recorded and will be transferred to police control room or a rescue team by using GSM MODEM. As a result, using GPS, the cops can quickly determine where the communication originated. One more advances of this modern technology were for an uncertain situation many of vehicles that have center locking system, Due this technology people faces many problem due to automatic locking system. There is no option to open the lock in the case; our work will provide a suitable solution for this so it is useful for implementing this project in useful way to reduce the human death ratio by accidents.

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