Future of connected autonomous vehicles in smart cities

Gaber, Hossam; Othman, Ahmed M.; Fahad, Abul Hasan

doi:10.1016/b978-0-12-816816-5.00027-9

Cited by 4 publications

(6 citation statements)

References 3 publications

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“…It is essential to recall that automated vehicles analyze the behavior and movements of other road users based on historical data and current conditions. This analysis allows vehicles to anticipate potentially dangerous situations and, most importantly, it allows them to learn from past situations and, thanks to the things learned, adapt their behavior to minimize the risk of collisions and accidents in the future [41].…”

Section: Synergies and Potential Between Automated Vehicles And Smart...mentioning

confidence: 99%

Synergies and Potential of Industry 4.0 and Automated Vehicles in Smart City Infrastructure

Kaššaj,

Peráček

2024

Applied Sciences

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The integration of Industry 4.0 and automated vehicles into the smart cities concept is a topical issue in the urbanization of cities and technological innovation within cities. As it is a relatively modern issue, many aspects of this field have not yet been explored; as a consequence, this paper is concerned with the search for synergies between Industry 4.0 and automated vehicles in smart city infrastructures. There is a lack of contributions in this field that summarize these synergies in a single article and address a wide range of aspects, including transport, energy, communication, and citizen participation. As the field lacks a complete and clear summary of what is already known, which would help multiple stakeholders, the authors decided to conduct this review. The article elucidates the above-stated aspects through a clear and in-depth literature review, which is complemented by specific examples from practice. Of course, the article also includes a description of the synergy potential and the impact on the inhabitants, the environment, and, last but not least, on the overall city life. The main hypothesis of this article is that the integration of Industry 4.0 technologies and automated vehicles within smart city infrastructure will result in significant improvements in transportation efficiency, resource utilization, and overall urban sustainability. The article discusses the positives and negatives of such integration, highlighting, on the one hand, the benefits in terms of reducing environmental impact and improving citizens’ quality of life, but on the other hand, also highlighting the various ethical, legal, and social issues that such integrations may bring. Several methods have been used within the article, namely analysis, synthesis, comparison, and historical interpretation. The final discussion highlights the benefits, as well as the challenges, that such integration faces and must deal with if it is to be successful. It can be concluded that the synergistic potential of automated vehicles and Industry 4.0 in smart city infrastructure is enormous and that such integration offers promising solutions for enhancing transportation efficiency, energy management, and overall urban sustainability. It is also highlighted in the article that, in order to reap the benefits of such synergies, a wide-ranging collaboration of policymakers, industry stakeholders, and urban planners is needed.

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Section: Synergies and Potential Between Automated Vehicles And Smart...mentioning

confidence: 99%

Synergies and Potential of Industry 4.0 and Automated Vehicles in Smart City Infrastructure

Kaššaj,

Peráček

2024

Applied Sciences

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“…Equation (5) shows the relationship between traffic flows, the supply model, and demand. In equilibrium traffic assignment models, the path choice percentages are usually denoted by P and depend on the path costs and then on the link costs, which depend on the flows; in this case, they are considered as probabilities since they are the result of user choice behaviour.…”

Section: Model Formulationmentioning

confidence: 99%

“…This appendix contains tables showing some data about the test networks. 3 [4] 4 [3] 2.0 1600 50 9 [10] 3 [12] 12 [3] 5.0 5400 100 11 [12] 4 [5] 5 [4] 2.0 1600 50 13 [14] 4 [11] 11 [4] 5.0 1600 50 15 [16] 5 [6] 6 [5] 2.0 1600 50 17 [18] 5 [9] 9 [5] 2.5 3500 75 19 [20] 6 [8] 8 [6] 2.5 3500 75 21 [22] 7 [8] 8 [7] 3.0 3500 75 23 [24] 7 [18] 18 [7] 2.5 1600 50 25 [26] 8 [9] 9 [8] 2.0 3500 75 27 [28] 8 [16] 16 [8] 2.5 3500 75 29 [30] 9 [ [40] 11 [12] 12 [11] 2.0 3500 75 41 [42] 11 [14] 14 [11] 3.0 3500 75 43 [44] 12 [13] 13 [12] 6.0 5400 100 45 [46] 13 [24] 24 [13] 2.0 3500 75 47 [48] 14 …”

Section: Appendix Bmentioning

confidence: 99%

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Combined Optimisation of Traffic Light Control Parameters and Autonomous Vehicle Routes

Gallo

2024

Smart Cities

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In the near future, fully autonomous vehicles may revolutionise mobility and contribute to the development of the smart city concept. In this work, we assume that vehicles are not only fully autonomous but also centrally controlled by a single operator, who can also define the traffic light control parameters at intersections. With the aim of optimising the system to achieve a global optimum, the operator can define both the routes of the fleet of vehicles and the traffic light control parameters. This paper proposes a model for the joint optimisation of traffic light control parameters and autonomous vehicle routes to achieve the system optimum. The model, which is solved using a gradient algorithm, is tested on networks of different sizes. The results obtained show the validity of the proposed approach and the advantages of centralised management of vehicles and intersection control parameters.

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“…Autonomous vehicles are also explored as a modernisation tool for public transport infrastructure Engineering Management in Production and Services (Gaber et al, 2020;Toglaw et al, 2018). Furthermore, smart cities are venturing into using robotics for law enforcement to lower conflict incident rates and free up human resources (Galindo, 2014;Hu & Jiang, 2019;Ma et al, 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

Artificial Intelligence in the Smart City — A Literature Review

Szpilko,

Naharro,

Lăzăroiu

et al. 2023

Engineering Management in Production and Services

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The influence of artificial intelligence (AI) in smart cities has resulted in enhanced efficiency, accessibility, and improved quality of life. However, this integration has brought forth new challenges, particularly concerning data security and privacy due to the widespread use of Internet of Things (IoT) technologies. The article aims to provide a classification of scientific research relating to artificial intelligence in smart city issues and to identify emerging directions of future research. A systematic literature review based on bibliometric analysis of Scopus and Web of Science databases was conducted for the study. Research query included TITLE-ABS-KEY (“smart city” AND “artificial intelligence”) in the case of Scopus and TS = (“smart city” AND “artificial intelligence”) in the case of the Web of Sciences database. For the purpose of the analysis, 3101 publication records were qualified. Based on bibliometric analysis, seven research areas were identified: safety, living, energy, mobility, health, pollution, and industry. Urban mobility has seen significant innovations through AI applications, such as autonomous vehicles (AVs), electric vehicles (EVs), and unmanned aerial vehicles (UAVs), yet security concerns persist, necessitating further research in this area. AI’s impact extends to energy management and sustainability practices, demanding standardised regulations to guide future research in renewable energy adoption and developing integrated local energy systems. Additionally, AI’s applications in health, environmental management, and the industrial sector require further investigation to address data handling, privacy, security, and societal implications, ensuring responsible and sustainable digitisation in smart cities.

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Future of connected autonomous vehicles in smart cities

Cited by 4 publications

References 3 publications

Synergies and Potential of Industry 4.0 and Automated Vehicles in Smart City Infrastructure

Synergies and Potential of Industry 4.0 and Automated Vehicles in Smart City Infrastructure

Combined Optimisation of Traffic Light Control Parameters and Autonomous Vehicle Routes

Artificial Intelligence in the Smart City — A Literature Review

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