Smart Road Traffic Accidents Reduction Strategy Based on Intelligent Transportation Systems (TARS)

Aldegheishem, Abdulaziz; Yasmeen, Humera; Maryam, Hafsa; Shah, Munam Ali; Mehmood, Amjad; Alrajeh, Nabil; Song, Houbing

doi:10.3390/s18071983

Cited by 47 publications

(17 citation statements)

References 28 publications

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“…Furthermore, DSRC also provides minimum delay of communication and data transmission in the entire network. IEEE 802.11p defines the lower part of MAC layer [34], [35]. Whereas the standard IEEE 1609 represents the upper part of MAC layer as Figure 5 shows.…”

Section: Performance Evaluationmentioning

confidence: 99%

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Vehicle-Life Interaction in Fog-Enabled Smart Connected and Autonomous Vehicles

et al. 2021

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Traffic accidents have become a major issue for researchers, academia, government and vehicle manufacturers over the last few years. Many accidents and emergency situations frequently occur on the road. Unfortunately, accidents lead to health injuries, destruction of some infrastructure, bad traffic flow, and more importantly these events cause deaths of hundreds of thousands of people due to not getting treatment in time. Thus, we need to develop an efficient and smart emergency system to ensure the timely arrival of an ambulance service to the place of the accident in order to provide timely medical help to those injured. In addition, we also need to communicate promptly with other entities such as hospitals so that they can make appropriate arrangements and provide timely medical information to emergency personnel on the scene including alerting those related to the injured person(s). In this paper, we have developed an intelligent protocol that uses connected and autonomous vehicles' scenarios in Intelligent Transportation System (ITS) so that prompt emergency services can be provided to reduce the death rate caused. The proposed protocol smartly connects with all the relevant entitles during the emergency while maintaining a smooth traffic flow for the arrival of the ambulance service. Moreover, our protocol also mitigates the broadcasting of messages circulating over the network for delay sensitive tasks. The evaluation results, based on the performance metrics such as channel collision, average packet delay, packet loss, and routing-overhead demonstrate that our proposed protocol outperforms previously proposed protocols such as Emergency Message Dissemination for Vehicular (EMDV), Contention Based Broadcasting (CBB), and Particle Swarm Optimization Contention-based Broadcast (PCBB) protocols. Finally, we discuss several issues and challenges that need to be addressed in the network in order to achieve more a reliable, efficient, connected, and autonomous vehicular network.

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Section: Performance Evaluationmentioning

confidence: 99%

“…50-80). All vehicular nodes are generated and deployed randomly using the Random Direction Mobility Model with velocities ranging from 60 km/h to 90 km/h [35]. The velocity threshold (65 km/hr) enables the RSU to maintain a map between the identity and the location of each vehicle moving in its range.…”

Section: Performance Evaluationmentioning

confidence: 99%

Vehicle-Life Interaction in Fog-Enabled Smart Connected and Autonomous Vehicles

et al. 2021

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“…El objetivo de esta investigación es desarrollar un nuevo protocolo, denominado Estrategia de Reducción de Accidentes de Tráfico (TARS), para Redes de Vehículos Ad-hoc (VANET) para minimizar el número de accidentes de tránsito, (Aldegheishem et al, 2018)…”

Section: (Geographica Company 2018)unclassified

Caracterización de los Siniestros Viales en el Ecuador

Congacha

Barba

Palacios³

et al. 2019

NOVASINERGIA

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Miles de vidas se pierden cada año como consecuencia de los siniestros viales, en tanto que las lesiones se presentan con traumatismos leves y severos, los que en varios casos provocan algún tipo de discapacidad. Las causas de los siniestros viales son constantemente analizadas por las instituciones públicas y privadas con la finalidad de emprender acciones preventivas que contribuyan a la reducción de las tasas e índices de mortalidad, accidentabilidad y letalidad. El objetivo de este trabajo es caracterizar los siniestros viales en el Ecuador haciendo uso de técnicas de análisis de datos, tablas dinámicas y gráficos dinámicos con la finalidad de identificar, resumir y comparar causas y factores, que contribuyan a la toma de decisiones sobre datos críticos. En este estudio se utilizaron los datos históricos proporcionados por la Dirección Nacional de Tránsito, recolectados entre los años 2015 a 2018, institución con competencia en 22 de las 24 provincias del territorio. Como resultado se presentan 10 causas que habrían ocasionado el 96.3% de los siniestros, siendo la conducción con falta de atención la causa predominante, con una incidencia del 56.8% de siniestros. Fueron identificadas las condiciones ambientales, tipos y condiciones de la vía, y horario, a nivel nacional y por zonas, el estudio concluye con el cálculo de tasas e índices de mortalidad, letalidad, accidentabilidad y motorización. Los resultados alcanzados representan un aporte a los procesos de planificación y legislación de políticas preventivas que implementen instituciones públicas.

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“…Besides the traffic congestion avoidance systems, many works have used VANETs for traffic related applications. Aldegheishem et al [ 18 ] developed a new protocol, named as the Traffic Accidents Reduction Strategy (TARS), for VANET to minimize the number of road accidents, and decrease the death rate caused by road accidents. The simulation results showed that their proposed scheme has outperformed DBSR and POVRP routing protocols.…”

Section: Related Workmentioning

confidence: 99%

DIFTOS: A Distributed Infrastructure-Free Traffic Optimization System Based on Vehicular Ad Hoc Networks for Urban Environments

Zhang

Aung

Dhelim

et al. 2018

Sensors

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Aiming to alleviate traffic congestion, many congestion avoidance and traffic optimization systems have been proposed recently. However, most of them suffer from three main problems. Firstly scalability: they rely on a centralized server, which has to perform intensive communication and computational tasks. Secondly unpredictability: they use smartphones and other sensors to detect the congested roads and warn upcoming vehicles accordingly. In other words, they are used to solve the problem rather than avoiding it. Lastly, infrastructure dependency: they assume the presence of pre-installed infrastructures such as roadside unit (RSU) or cellular 3G/4G networks. Motivated by the above-mentioned reasons, in this paper, we proposed a fully distributed and infrastructure-less congestion avoidance and traffic optimization system for VANET (Vehicular Ad-hoc Networks) in urban environments named DIFTOS (Distributed Infrastructure-Free Traffic Optimization System), in which the city map is divided into a hierarchy of servers. The vehicles that are located in the busy road intersections play the role of servers, thus DIFTOS does not rely on any centralized server and does not need internet connectivity or RSU or any kind of infrastructure. As far as we know, in the literature of congestion avoidance using VANET, DIFTOS is the first completely infrastructure-free congestion avoidance system. The effectiveness and scalability of DIFTOS have been proved by simulation under different traffic conditions.

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Smart Road Traffic Accidents Reduction Strategy Based on Intelligent Transportation Systems (TARS)

Cited by 47 publications

References 28 publications

Vehicle-Life Interaction in Fog-Enabled Smart Connected and Autonomous Vehicles

Vehicle-Life Interaction in Fog-Enabled Smart Connected and Autonomous Vehicles

Caracterización de los Siniestros Viales en el Ecuador

DIFTOS: A Distributed Infrastructure-Free Traffic Optimization System Based on Vehicular Ad Hoc Networks for Urban Environments

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