Management of the reliability of intelligent vehicles as a method to improve traffic safety

Makarova, Irina; Mukhametdinov, Eduard; Tsybunov, Eduard

doi:10.1016/j.trpro.2018.12.129

Cited by 13 publications

(3 citation statements)

References 5 publications

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“…The basic conclusion of the research conducted by [75] is that electric vehicles must be adapted and that their performance improved in order to become more competitive compared to vehicles that use fossil fuels for propulsion. Furthermore, if we are talking about the situation related to the implementation of electric vehicles and the willingness of residents to buy such vehicles, the research carried out by [76] identifies how attitudes towards the purchase or use of electric vehicles can differ depending on the technical characteristics that the vehicle has, such as battery autonomy, and attitudes towards climate change [77]. However, the research showed that the attitudes of residents towards the purchase of electric vehicles differ depending on the country and that in some countries, such as China, the attitude towards climate change is a variable that affects the consideration of the possibility of purchasing an electric vehicle significantly less.…”

Section: Electric and Autonomous Vehiclesmentioning

confidence: 99%

New Paradigm of Sustainable Urban Mobility: Electric and Autonomous Vehicles—A Review and Bibliometric Analysis

2022

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The growing relevance of sustainability, as well as the necessity to replace traditional forms of transportation with sustainable ones, has made sustainable urban mobility an imperative. In order to respond to the ever-increasing need to develop sustainable modes of transport, the importance of electric, autonomous, and electric autonomous vehicles is increasingly emphasized. In addition, as trends of growth and development in electric autonomous vehicle technology are increasing, one of the questions that has appeared is whether autonomous electric vehicles represent one of the mechanisms that will be used to increase the sustainability of urban mobility. With this in mind, the results of a systematic analysis of existing research in the WOS and Scopus databases using the keywords “urban mobility”, “electric vehicles”, and “autonomous vehicles” was carried out to identify research trends in the use of autonomous electric vehicles in urban areas. The research showed that authors focus on the advantages and disadvantages of autonomous electric vehicles and their usage in the urban mobility system, but an insufficient number of authors consider and define the need to plan the transition towards incorporating autonomous electric vehicles into the urban system. The results of this research also indicate an insufficient number of papers that research and describe the application of autonomous electric vehicles in distribution logistics. This paper provides an overview of existing research related to autonomous electric vehicles and the challenges of transition in the context of infrastructure and the development of a culture of sustainability among urban residents.

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Section: Electric and Autonomous Vehiclesmentioning

confidence: 99%

New Paradigm of Sustainable Urban Mobility: Electric and Autonomous Vehicles—A Review and Bibliometric Analysis

2022

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“…Increasing the daily traffic represents a great challenge for the citizen of all urban and rural places [6]. There are three main types of VANET which include systems that provide for communication and information exchange by vehicle-tovehicle (V2V), vehicle-to-infrastructure (V2I), and infrastructure-to infrastructure (I2I) means [7]. figure 2 shows types of VANET…”

Section: Vanet Overviewmentioning

confidence: 99%

Potential Using Vehicle to Vehicle Communication Based on Wireless Fidelity (Wi-Fi) for Supporting Intelligent Transportation Systems (ITS)

موسى¹,

الراشدي²

2021

AIJST

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Vehicular Ad-hoc Network (VANET) becomes one of the most popular modern technologies these days, due to its contribution to the development and modernization of Intelligent Transportation Systems (ITS). The primary goal of these networks is to provide safety and comfort for drivers and passengers in roads. There are many types of VANET that are used in ITS, in this paper, we particularly focus on the Vehicle to Vehicle communication (V2V), which each vehicle can exchange information to inform drivers of other vehicles about the current state of the road flow, in the event of any emergency to avoid accidents, and reduce congestion on roads. We proposed V2V using Wi-Fi (wireless fidelity); the reason of its unique characteristics that distinguish it from other types. There are many difficulties and the challenges in implementing most types of V2V, and the reason is due to the lack of devices and equipment needed for real implementation. To prove the possibility of applying this type in real life, we made a prototype contains a modified toy car, a 12-volt power supply, sensors, visual, audible alarm, a visual “LED” devices, and finally a 12-volt DC relay unit. As a conclusion, the proposed implementation in spite of minimal requirements and use simple equipment, we have achieved the most important main objectives of the paper: preventing vehicles from collision, early warning, and avoiding congestion on the roads.

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“…Therefore, when establishing the reliability of a vehicle, it is firstly divided into characteristic elements [40]. Then their external parameters as well as maintenance and diagnostic measures for reliability improvements are analysed [41]. The vehicle is divided into such elements that faults are not interrelated, i.e.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Road Accident Risk for Vehicle Fleet Based on Statistically Processed Tire Wear Model

Pečeliūnas

Žuraulis

Dróździel

et al. 2022

PROMTT

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The goal of the paper is to investigate the impact of tire tread depth on road accident risk and to develop an accident rate prediction model. The state of 4288 vehicle tires using tread depth gauge was inspected and processed statistically. The tread depth of the most worn tire from each vehicle was registered for further analy-sis. Based on the collected data, a statistical tire tread depth model for an insurance company vehicle fleet had been developed. The conformity of the gamma distribu-tion to the data was verified upon applying the Pearson compatibility criterion. The paper provides the histo-grams of the frequencies of tire tread depths and the theoretical curves of the distribution density. The prob-ability of the accident risk depending on the tire tread depth (adaptive risk index) was calculated applying the formed distributions and risk index dependence on the tire tread depth for the inspected vehicle fleet. Accord-ing to the developed prediction model, an upgrade of the regulation for the minimum allowed tire tread depth by 2 mm (up to 3.6 mm) could reduce road accident risk (caused by poor adhesion to road surface) to 19.3% for the chosen vehicle fleet. Such models are useful for road safety experts, insurance companies and accident cost evaluation specialists by predicting expenses related to insurance events.

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Management of the reliability of intelligent vehicles as a method to improve traffic safety

Cited by 13 publications

References 5 publications

New Paradigm of Sustainable Urban Mobility: Electric and Autonomous Vehicles—A Review and Bibliometric Analysis

New Paradigm of Sustainable Urban Mobility: Electric and Autonomous Vehicles—A Review and Bibliometric Analysis

Potential Using Vehicle to Vehicle Communication Based on Wireless Fidelity (Wi-Fi) for Supporting Intelligent Transportation Systems (ITS)

Prediction of Road Accident Risk for Vehicle Fleet Based on Statistically Processed Tire Wear Model

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