Transition to Electrical Vehicles Based on Multi-Attribute Decision Making

Todorović, Milan; Simić, Milan

doi:10.1109/icit.2019.8755210

Cited by 9 publications

(4 citation statements)

References 8 publications

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“…Related issues are: What kind of transport and ownership can be expected in the future? How to use AI or fuzzy logic to make right decisions [29]? What will the future cities look like and how will the new road usage charging policy be defined?…”

Section: Discussionmentioning

confidence: 99%

Managing Transitions to Autonomous and Electric Vehicles: Scientometric and Bibliometric Review

Todorovic,

Aldakkhelallah,

Simic

2023

WEVJ

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This paper presents a scientometric and bibliometric literature review of the research on transitions to autonomous and electric vehicles. We discuss the main characteristics, evolution, and various transitional issues, identifying potential trends for future research. The Scopus and WoS search for relevant research articles generated a corpus of 4693 articles, which we analyzed using VOSviewer visualization software. This result shows that the transition research is interdisciplinary, with 54 scientific areas identified. Analysis requires an understanding of the broader aspects of the automotive industry, trends related to sustainability, environment protection, road safety, public policies, market factors and other business, and legal and management issues. This study highlights the need for more research to address the challenges of this global transition in the automotive industry. Topics for future research are constant improvements in AI algorithms used in AVs, innovations in green energy sources, and storage solutions for EVs. This is leading to new innovative business models and platforms. Further to that, the conclusion is that the impact of the transition to a shared economy, the emergency of mobility as a service, and public acceptance of the technology have to be comprehensively considered. The vehicle of the future is seen as a smart electric car, running on green energy, and utilizing various levels of automation up to full autonomy.

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Section: Discussionmentioning

confidence: 99%

Managing Transitions to Autonomous and Electric Vehicles: Scientometric and Bibliometric Review

Todorovic,

Aldakkhelallah,

Simic

2023

WEVJ

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“…Fuzzy logic is applied in many control engineering systems, when other strategies are not powerful enough to deal with uncertainties and unreliable data (Carter, Chiclana, Khuman, & Chen, 2021;Matía, Marichal, & Jiménez, 2014). It is also applied in business decision making, as shown in numerous references, like here (Bezděk, 2014) and here (M. Todorovic & M. Simic, 2019) in the process of Transition to Electrical Vehicles Based on Multi-Attribute Decision Making. Managing Transition to Autonomous Vehicles Using Bayesian Fuzzy Logic is also investigated and reported (Todorovic & Simic, 2019b).…”

Section: 𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼 = -𝑙𝑙𝐼𝐼𝑙𝑙(𝑝𝑝)mentioning

confidence: 99%

“…At RMIT University, School of Engineering, research in autonomous vehicles (Elbanhawai, Simic, & Jazar, 2015;Elbanhawi & Simic, 2014;Elbanhawi, Simic, & Jazar, 2015a, 2015bElbanhawi, Simic, & Jazar, 2015;Elbanhawi, Simic, & Jazar, 2016;Elbanhawi, Simic, & Jazar, 2018), as well as, research in the process of new technology introduction (Aldakkhelallah, Todorovic, & Simic, 2021;Todorovic & Simic, 2019a, 2019bTodorovic & Simic, 2019;Todorovic, Simic, & Kumar, 2017), are conducted concurrently.…”

Section: 𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼𝐼 = -𝑙𝑙𝐼𝐼𝑙𝑙(𝑝𝑝)mentioning

confidence: 99%

Cascaded Fuzzy Logic for Adaptive Cruise Control

Simić

2022

MIJST

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Application of fuzzy logic is a powerful approach that could be applied in a large number of disciplines, starting with engineering control systems, as shown here, but also in other business areas. After a short introduction to fuzzy logic, its application for adaptive cruise control (ACC) is presented. ACC is a driver assistance feature that deals with the problem of speed control, while keeping the safe distance from the vehicle ahead. In the hierarchy of autonomous vehicles autonomy levels, as defined by Society of Automotive Engineers (SAE) International, adaptive cruise control appears in the vehicles at the level 1 and above. We developed a fuzzy logic controller where controlled variables are speed and distance. Input variables include weather conditions, style or mode of driving, vehicle speed and steering angle. A large number of input variables improve control but lead to a large fuzzy rules table. Because of that, in the design presented here, a tree of connected fuzzy inference systems (FIS) is applied. Fuzzy inference systems with a smaller number of variables are developed, algorithms explained, rule base defined, and obtained control surfaces presented. This approach requires less processing time enabling real time applications. Since the rules are defined based on drivers’ experiences, fuzzy logic control systems make decisions in the same way as humans do, i.e., as experience drivers. This paper gives a comprehensive presentation of a novel cascaded fuzzy system development. This novel design also involves algebraic subtraction performed through a FIS subsystem.

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“…AVs on that level are mobile robots on the road. There are many applications for autonomous systems, including those in manufacturing, agriculture [11], transport [2,6,7,[12][13][14][15], and the defence [16].…”

Section: Introductionmentioning

confidence: 99%

Public Perception on the Introduction of Autonomous Vehicles

Aldakkhelallah,

Alamri,

Stelios

et al. 2023

Preprint

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Autonomous vehicles (AV)s will transform transport, but public opinion will play a key role in the decision how widely and quickly, they will be adopted. The purpose of the study presented here, was to investigate community’s views on the transition. As a method for primary data collection on public awareness, attitudes, and readiness to use autonomous cars, survey was conducted in Saudi Arabia. Following that, we have used statistical tools to analyse responses. Our findings indicate that the participants are mainly open to use new technology and had favourable attitude towards transition. Ordinal logistic regression model showed a wide variation in public opinion regarding the expected benefits that may accompany the transition, despite an average high score on this factor. Our findings reveal that awareness of AVs' benefits is more positively correlated to the age of participants. Perceived cost, on one side, and convenience, and safety, on the other side, have substantial impact on opinions. Investigation, presented here, shows how AVs are seen in Saudi Arabia. This can guide the development of AVs and deployment in that region.

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Transition to Electrical Vehicles Based on Multi-Attribute Decision Making

Cited by 9 publications

References 8 publications

Managing Transitions to Autonomous and Electric Vehicles: Scientometric and Bibliometric Review

Managing Transitions to Autonomous and Electric Vehicles: Scientometric and Bibliometric Review

Cascaded Fuzzy Logic for Adaptive Cruise Control

Public Perception on the Introduction of Autonomous Vehicles

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