A Comprehensive Study on IoT Based Accident Detection Systems for Smart Vehicles

Alvi, Unaiza; Khan, Muazzam A.; Shabir, Balawal; Malik, Asad Waqar; Muhammad, Sher Ramzan

doi:10.1109/access.2020.3006887

Cited by 69 publications

(23 citation statements)

References 47 publications

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“…However, the main causes are the drivers themselves who might be drowsy, intoxicated or over speeding [3]- [4]. Problems of traffic congestion and road accidents have increased due to the increase in the demands of vehicles [5]. Nowadays, over a million people lose their lives due to road traffic crashes world wide and these crashes cost most countries 3% of their gross domestic product [6].…”

Section: Conventional Automobile Regulationmentioning

confidence: 99%

The Ecosystem of the Next-Generation Autonomous Vehicles

Sahawneh¹,

Alnaser²

2021

Adv. sci. technol. eng. syst. j.

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Autonomous vehicles (AVs) technology is expected to provide many benefits for the society such as providing safe transportation to the community and reducing the number of accidents on the roads. With the emergence of AVs, the conventional safety infrastructure in which humans drive their vehicles will need to be upgraded in order to take full advantage of the new technology. AVs are responsible for the different aspects of driving, namely: perception, decision making and taking action. Capturing data and diagnosing issues becomes imperative in this new transportation system because an error might be an indication of a systemic problem which may lead to future accidents or failures. Therefore, any AV accident must be dealt with seriously. Unfortunately, current procedures and the type of data collected during the investigation of an accident is not sufficient; For example, AV minor accidents are not investigated in depth as it is with AV major accidents and therefore, if the cause of the accident is a systemic issue, then it might cause more accidents in the future. The main goal of this paper is to explore the requirements for accident reports for incidents involving AVs and the procedures to escalate issues to avoid systemic risks. All the information available about AV accidents, regardless of the severity of the accident, will be analyzed and studied. This paper will present three recommendations; An updated law enforcement accident report, an escalation procedure that depends on the diagnosis of the fault and a database of AV accidents to enable ongoing learning to find systemic issues.

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Section: Conventional Automobile Regulationmentioning

confidence: 99%

The Ecosystem of the Next-Generation Autonomous Vehicles

Sahawneh¹,

Alnaser²

2021

Adv. sci. technol. eng. syst. j.

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“…about 20 to 50 million of people are suffering of a non-fatal injury but incurring a disability because of their injuries [1]. Many researchers' discuses road traffic and death rates from many prospective [2][3][4][5][6][7]. Traffic death rate can be decreased if injured persons reach at hospital in the proper time.…”

Section: Introductionmentioning

confidence: 99%

Smart ambulance using IoT for blood transfer facilities

Torad¹,

Hossamel-din²

2021

IJEECS

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<span>In case of an accident occurrence, ambulance try to transport wounded and injured people to the nearest hospital, but if the injured persons need an urgent blood transfer, the emergency reception (ER) can check the availability of the needed blood type and quantity. If it is available, the emergency reception accepts the injured person, but if it is not available, the reception reroutes the ambulance to the nearest hospital which have the required blood type and quantity. So, a system created that save that wasted time to save injured people life as possible. So, we create a system that save that wasted time to save injured people life as possible. So, the main contribution in this paper is selecting and determining the nearest hospital that own the proper blood types to save injurjed people lives using dijkstra algorithm. In this study, we use an android application at the ambulance which permit the paramedic to login and select the required blood type and quantity needed after determining the injured person’s blood type and the android application automatically determine the nearest hospital using the best shortest path algorithm (SPA) after checking the database and generate a pin code for the paramedic to deliver it with injured person to the ER and get the needed blood. This process will consequently decrease the used blood quantity from the database.</span>

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“…Many reasons are responsible for it such as driver's fault, bad road, and pedestrian mistakes. Many researchers' discuses road traffic and death rates from many prospective [1][2][3][4][5][6]. These reasons may lead to body injures, these injuries ranging between simple, moderate, or sever injuries according to condition of each accident.…”

Section: Introductionmentioning

confidence: 99%

“…brain haemorrhage). Now these injuries can be minimized by use of the Helmet [1]. This paper aims to increase the safety of the two-wheeler riders and bikers against road accidents.…”

Section: Introductionmentioning

confidence: 99%

Smart helmet using internet of things

Torad¹,

Salam

2021

IJRES

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The rate of death relative to the size of the world's population has remained constant, according to the world health organization (WHO). WHO targets to minimize the ratio of road death to the half by 2022. This paper discusses a way for accident detection and notification which can decrease this ratio. Piezoelectric sensors used inside a helmet to detect degree of trauma which interpret into electrical signal that used to determine if trauma is serious or not based on predetermined threshold. This trauma can be a result of any type of accidents. So, a detection system established to request immediate help from relatives and emergency department by sending SMS to them contains the longitude and latitude. In normal mode helmet can work as tracking device for the relatives.

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A Comprehensive Study on IoT Based Accident Detection Systems for Smart Vehicles

Cited by 69 publications

References 47 publications

The Ecosystem of the Next-Generation Autonomous Vehicles

The Ecosystem of the Next-Generation Autonomous Vehicles

Smart ambulance using IoT for blood transfer facilities

Smart helmet using internet of things

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