Preventing Emergency Vehicle Crashes: Status and Challenges of Human Factors Issues

Hsiao, Hongwei; Chang, Joonho; Simeonov, Peter

doi:10.1177/0018720818786132

Cited by 56 publications

(49 citation statements)

References 126 publications

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“…Evidently, these mind-sharing notifications could affect the driver's attention, discerning the challenging road-traffic flow [5,7]. In turn, the HDD interfaces aiming to support the speed and safety of the ES vehicles may not effectively provide critical information any more as the driver's attention may be distributed along with several irrelevant information outlets [5,17]. Therefore, in a typical accident scenario in which the lead vehicles brake abruptly, the driver does not have the required time and situational awareness to proceed in a collision avoidance braking manoeuvre [6,7].…”

Section: B Driver Distractionmentioning

confidence: 99%

Collision Avoidance Head-Up Display: Design Considerations for Emergency Services’ Vehicles

Bram-Larbi

Charissis

Khan

et al. 2020

2020 IEEE International Conference on Consumer Electronics (ICCE)

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Emergency Services' (ES) vehicles primary objective is to attend accident or other incident scenes in a fast, safe and efficient manner. Yet this task is becoming increasingly difficult due to the increasing population and the plethora of emergency cases. These factors affect directly the traffic both within the urban and the rural environment, decreasing dramatically the time to arrive at the point of interest. Numerous Head-Down Display (HDD) systems have populated the dashboard area of the ES vehicles in order to tackle this issue, with limited success. To this end, the development of emerging technologies in both computing and telecommunications have enabled modern vehicular systems to assist drivers in their decision-making process. Head-Up Displays (HUD) present a combinatory approach of the aforementioned technologies, which present crucial information to the driver through Augmented Reality (AR) projection. In order to develop a design and development framework for the utilisation of AR and HUD technology, this paper presents the results of 50 drivers investigation related to their activities during immobile or slow-moving traffic which results in driver's distraction and inability to respond to the incoming ES vehicles. In turn, the paper discusses these results and offers an overview of the Human-Machine Interface requirements for a prototype HUD aiming to assist the safety, speed and manoeuvrability of the ES vehicles.

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Section: B Driver Distractionmentioning

confidence: 99%

Collision Avoidance Head-Up Display: Design Considerations for Emergency Services’ Vehicles

Bram-Larbi

Charissis

Khan

et al. 2020

2020 IEEE International Conference on Consumer Electronics (ICCE)

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“…There were two literature reviews collected about the factors that cause ambulance crashes and one systemic review about the factors that cause ambulance accidents. The literature review by Hongwei and his friends, 22 reviewed a wide field of literature related to the factors that cause emergency vehicle accidents, and reported risk factors, control measures, and knowledge gaps relevant to emergency vehicle accidents. Emergency vehicles are at risk between emergency response and returning from a call, due to disruption in driving emergency vehicles, driver assistance technology in The literature review by Sanddal and his friends 23 stated that ambulance crashes occur with greater frequency and severity than crashes involving vehicles of similar size and weight characteristics.…”

Section: Comparison To Related Studiesmentioning

confidence: 99%

Understanding factors of ambulance delay and crash to enhance ambulance efficiency: an integrative literature review

Wiwekananda

Hamukti

Yogananda

et al. 2020

J Community Empowerment for Health

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Trauma is one of the major causes of deaths worldwide. The referral time of trauma patients to the trauma center is a vital determinant of traumatic injury patients’ survival. Ambulance delays and crashes are the major causes of delay of patient transportation to the hospital. This review was conducted to find the main factors that cause ambulance crashes and ambulance delays; and discuss the correlation of both factors. Hence, the authors might suggest an appropriate solution to minimize ambulance delay and crash incidents. This integrative literature review applied the PRISMA-P protocol to ensure a robust literature search. A total of nine databases and publishers (i.e., PubMed, Scopus, ScienceDirect, ASCE Library, Clinical Key, EBSCO, Cambridge, Taylor & Francis, and ProQuest) were searched using relevant keywords to obtain studies on ambulance delays and ambulance crashes. The literature search retrieved 620 studies to be screened based on the exclusion-inclusion criteria which finally resulted in the 12 studies included in the review. The researchers conducted a risk of bias assessment using Joanna Briggs Institute's critical appraisal tools. Data from the included studies were then extracted and analyzed using descriptive statistics to identify the factors affecting ambulance delays and crashes. After conducting an integrative literature review, the main factor that causes ambulance delays is traffic congestion. Meanwhile, the main factor causing ambulance crashes is intersection. Traffic congestion often occurs especially at intersections. The authors concluded that, intersections have a significant effect on ambulance delays and also ambulance crashes. To overcome this problem, the authors suggest to make an additional ambulance caution signal lamp on all congested intersections.

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“…The latter parameter requires high-speed manoeuvring through dense traffic, in various adverse weather conditions and road networks. These requirements increase greatly the collision probability [1]. Current technological advances in computing and telecommunications enable modern vehicular systems to assist the driver's decision-making process.…”

Section: Introductionmentioning

confidence: 99%

Improving Emergency Vehicles’ Response Times with the Use of Augmented Reality and Artificial Intelligence

Bram-Larbi

Charissis

Khan

et al. 2020

HCI International 2020 – Late Breaking Papers: Digital Human Modeling and Ergonomics, Mobility and Intelligent Environments

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The rapid mobilization of Emergency Services (ES) could be particularly challenging for ES drivers and staff that have to navigate and manoeuvre through various traffic and weather conditions. Driving, in high speeds through dense traffic is a particularly demanding psychomotor task for the ES drivers and could result in collisions and even fatalities. Current attempts to support the driver and reduce the potential driving hazards had limited success. The paper presents the design rationale of a prototype system that utilises Augmented Reality (AR) in the form of a Head-Up Display (HUD) to superimpose guidance information in the real-life environment. The paper will discuss also the requirements for an Artificial Intelligence (AI) system that could analyse the driving conditions and present the best manoeuvring options whilst maintain the road users' safety. Finally, the paper presents the requirements' framework for the development of the proposed AR/AI system based on the feedback and suggestions of ten ES drivers. Their feedback will be presented and discussed in detail as it provided essential insight into the everyday challenges of ES operations.

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Preventing Emergency Vehicle Crashes: Status and Challenges of Human Factors Issues

Abstract: This information is helpful for emergency vehicle drivers, safety practitioners, public safety agencies, and research communities to mitigate crash risks. It also offers ideas for researchers to advance technologies and strategies to further emergency vehicle safety on the road.

Cited by 56 publications

References 126 publications

Collision Avoidance Head-Up Display: Design Considerations for Emergency Services’ Vehicles

Collision Avoidance Head-Up Display: Design Considerations for Emergency Services’ Vehicles

Understanding factors of ambulance delay and crash to enhance ambulance efficiency: an integrative literature review

Improving Emergency Vehicles’ Response Times with the Use of Augmented Reality and Artificial Intelligence

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