Impacts of connected and autonomous vehicles on urban transportation and environment: A comprehensive review

Sustainable Cities and Society, Год журнала: 2023, Номер 96, С. 104649 - 104649

Опубликована: Май 20, 2023

Язык: Английский

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The dynamic nexus between biocapacity, renewable energy, green finance, and ecological footprint: evidence from South Asian economies

International Journal of Environmental Science and Technology, Год журнала: 2022, Номер 20(8), С. 8941 - 8962

Опубликована: Сен. 7, 2022

Язык: Английский

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Emerging Cybersecurity and Privacy Threats to Electric Vehicles and Their Impact on Human and Environmental Sustainability

Energies, Год журнала: 2023, Номер 16(3), С. 1113 - 1113

Опубликована: Янв. 19, 2023

With the global energy crisis, increasing demand, and a national-level emphasis on electric vehicles (EVs), numerous innovations are being witnessed throughout EV industry. EVs equipped with sensors that maintain sustainable environment for betterment of society enhance human sustainability. However, at same time, as is case any new digital technology, they susceptible to threats security privacy. Recent incidents demonstrate these have been misused car theft, financial fraud, data compromise, caused severe health safety problems, amongst other things. To best our knowledge, this paper provides first systematic analysis sustainability, technologies their potential cybersecurity threats, corresponding defense. Firstly, three robust taxonomies presented identify dangers can affect long-term sustainability domains, including (1) life well-being, (2) safe environment, (3) innovation development. Second, research measures impact correspondingly goals. Third, it details extent which specific controls mitigate thereby allowing smooth transition toward secure future smart cities.

Язык: Английский

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Evaluating the safety of autonomous vehicle–pedestrian interactions: An extreme value theory approach

Analytic Methods in Accident Research, Год журнала: 2022, Номер 35, С. 100230 - 100230

Опубликована: Май 21, 2022

Язык: Английский

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Localization and Mapping for Self-Driving Vehicles: A Survey

Machines, Год журнала: 2024, Номер 12(2), С. 118 - 118

Опубликована: Фев. 7, 2024

The upsurge of autonomous vehicles in the automobile industry will lead to better driving experiences while also enabling users solve challenging navigation problems. Reaching such capabilities require significant technological attention and flawless execution various complex tasks, one which is ensuring robust localization mapping. Recent surveys have not provided a meaningful comprehensive description current approaches this field. Accordingly, review intended provide adequate coverage problems affecting area, by examining most recent methods for mapping as well related feature extraction data security First, discussion contemporary extracting relevant features from equipped sensors their categorization semantic, non-semantic, deep learning presented. We conclude that representativeness, low cost, accessibility are crucial constraints choice be adopted tasks. Second, survey focuses on build vehicle’s environment map, considering both commercial academic solutions available. analysis proposes difference between two types environment, known unknown, develops each case. Third, explores different vehicle classifies them according mathematical characteristics priorities. Each section concludes presenting challenges some future directions. article highlights likely encountered self-driving vehicles, with an assessment possible defense mechanisms could prevent attacks vehicles. Finally, ends debate potential impacts driving, spanning energy consumption emission reduction, sound light pollution, integration into smart cities, infrastructure optimization, software refinement. This thorough investigation aims foster understanding diverse implications across domains.

Язык: Английский

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Data Centers on Wheels: Emissions From Computing Onboard Autonomous Vehicles

IEEE Micro, Год журнала: 2022, Номер 43(1), С. 29 - 39

Опубликована: Ноя. 8, 2022

While much attention has been paid to data centers' greenhouse gas emissions, less autonomous vehicles' (AVs) potential emissions. In this work, we introduce a framework probabilistically model the emissions from computing onboard global fleet of AVs and show that have make nonnegligible impact on comparable all centers today. Based current trends, widespread AV adoption scenario where approximately 95% vehicles are requires computer power be than 1.2 kW for in 2018 90% modeled scenarios. Anticipating future with high AVs, business-as-usual decarbonization, workloads doubling every three years, hardware efficiency must double 1.1 years 2050 equal center The rate increase needed many scenarios contain is faster rate. We discuss several avenues research unique further analyze potentially reduce carbon footprint AVs.

Язык: Английский

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Evaluating the Determinants of Consumer Adoption of Autonomous Vehicles in Thailand—An Extended UTAUT Model

Energies, Год журнала: 2023, Номер 16(2), С. 855 - 855

Опубликована: Янв. 11, 2023

This study explores the effects of autonomous cars and how they may affect design transportation systems. The research investigated determinants consumer adoption vehicles in Thailand. was driven by increasing environmental protection awareness need to conserve it through revolutionary technology. adopted extended UTAUT model, where a quantitative method using primary data from 381 respondents. results indicated that Thailand is influenced performance expectancy, effort facilitating conditions, benefits, purchase subsidy. recommendations developed were that, enhance consumers’ intention adopt vehicles, concerned stakeholders should improve on aspects, such as ability job performance, increase productivity, ease use, flexibility, clarity, understanding, well social status. government also consider subsidizing this would encourage consumption. A limitation generalization findings limited

Язык: Английский

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Global warming potential, water footprint, and energy demand of shared autonomous electric vehicles incorporating circular economy practices

Sustainable Production and Consumption, Год журнала: 2023, Номер 36, С. 449 - 462

Опубликована: Фев. 4, 2023

Язык: Английский

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A Systematic Literature Review of Autonomous and Connected Vehicles in Traffic Management

Applied Sciences, Год журнала: 2023, Номер 13(3), С. 1789 - 1789

Опубликована: Янв. 30, 2023

The emergence of autonomous vehicles and the advancement technology over past several decades has increased demand for intelligent intersection management systems. Since there been interest in researching how manage traffic at junctions, a thorough literature analysis is urgently needed. This study discovered peer-reviewed publications published between 2012 2022 most prestigious libraries to address this problem. After that, 100 primary studies were identified, chosen was subjected systematic analysis. According findings, are four categories approaches, i.e., rule-based, optimization, hybrid, machine learning procedures, which used achieve diverse driving objectives, including efficacy, safety, ecological, passenger ease. analyses illustrate many attributes, limits, views current solutions. enables provision potential future difficulties directions area.

Язык: Английский

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Investigation of Vehicular Pollutant Emissions at 4-Arm Intersections for the Improvement of Integrated Actions in the Sustainable Urban Mobility Plans (SUMPs)

Sustainability, Год журнала: 2023, Номер 15(3), С. 1860 - 1860

Опубликована: Янв. 18, 2023

Sustainable urban mobility planning is a strategic and integrated approach that aims to effectively address the complexities of transportation. Additionally, vehicle emissions are still significant problem found in cities. Its greatest concentration involves intersections, as they have highest number stop-and-go operations, resulting engine load. Although electrification vehicles underway, coming years energy crisis may cause full transformation fulfillment European Green Deal be postponed. This state affairs means much effort should go into possibly modifying current infrastructure make it more environmentally friendly. The article addresses use vertical road markings such “stop”, “give way”, also signal controllers signs, at four-arm X intersections. modeling intersection variants was carried out traffic microsimulation software VISSIM. created model calibrated according real world data. actual part work concerns assumption specific flow scenarios, for which measurements delay harmful exhaust components NOx PM10 were made. results obtained can practical application proposals creating unequal Based on results, concluded below volume value 1200 vehicles/h, an considered with yield sign stop two directions traffic. However, volumes from vehicles/h 2000 signs used all directions. provide some information location crosswalks improvement strategies introduced SUMPs.

Язык: Английский

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