Journal articles on the topic 'Volvo automobile'

Automobile safety index is one of the important parameters for consumers to buy vehicles, and more and more automobile consumers pay attention to the safety factor of vehicles. There are two kinds of automobile safety, one of which is active safety and the other is passive safety. Taking Volvo XC60 as an example, this paper discusses the in-vehicle application of the safety anti-collision warning system designed and developed in view of the frequent accidents in real road conditions, as well as the protection function of modern automobile safety system for people in the car in actual use.

In recent years, the global automobile industry continues to develop, and mergers and acquisitions between enterprises have become an important strategic means of the industry. Geely's acquisition of Volvo has become one of the focal points of the global auto industry. This paper examines the Geely acquisition of Volvo, analyzing its motivation of acquisition and strategic goal, financing, potential risk, competition, and achievement. The study found that Geely's acquisition of Volvo enhanced Geely's position in the global market, strengthened the competitiveness of Chinese automakers, and accelerated the development of its own brands. At the same time, Volvo also gained a broader market and resources from Geely's acquisition, which helped to enhance brand value and market share. The research offers empirical insights for the automotive industry, guiding decision-making and providing policy recommendations. Investors should monitor industry dynamics, while leaders should evaluate strategies and enhance cross-cultural management capabilities. Governments can support domestic firms' global competitiveness and promote industry sustainability. In summary, this paper contributes to the understanding of the Geely-Volvo acquisition and offers guidance for stakeholders.

The article presents the factors affecting the performance of excavators and dump trucks. The main dependences of the technical readiness coefficient of hydraulic excavators (Hitachi, Volvo, Komatsu PC, Liebherr) with a bucket capacity of 1...3.5 m3, in combination with articulated dump trucks Volvo, Bell, BelAZ (with a load capacity of 10-20 tons), quarry dump trucks BelAZ, Terex, Caterpillar, Komatsu (40.100 tons) are given. To increase the efficiency of the process of transporting rock mass at coal mines, the regularities of changes in the performance of quarry dump trucks have been studied. The obtained research results allow us to make a forecast assessment of the annual operational productivity of mining and transport equipment when planning the work of coal mining enterprises in the short term.

Pursuing M&As is an important growth strategy for many companies. This study examines whether Geely has succeeded in improving the acquirer’s performance as expected over a long-time span. In particular, it: (i) assesses the short-term and long-term post-acquisition firm performance respectively; and (ii) establishes a post-acquisition performance evaluation framework for Chinese automobile companies’ overseas M&As based on their motivations. By investigating the influence of acquiring Volvo on Geely’s performance as a case of outbound M&A during the financial crisis, this research will serve as an example of evaluating M&As as a mechanism for corporate growth in the automobile industry of China or other emerging economies.

An Autonomous car is also called as self-drive car or driverless car or robotic car whatever the name but the aim of the technology is same. From the past few years, updating automation technology day by day and using all aspects in regular human life. The present scenery of human being is addicted to automation and machine learning technology like medical, transportation and in IT sector. For the last 10 years the Automobile industry came forward to researching autonomous vehicle technology (Tesla, Uber, Google, Volvo, Audi and Renault). Everyday autonomous technology researches are solving challenges. In the future without human help there will be a human assistance using artificial intelligence technology based on requirement and prefer this vehicle are very safe and comfortable in emergency.

The current economic situation in Russia is characterized by significant instability due to the large sanctions burden provided by the countries of Europe and the United States because of the special military operation in Ukraine. In the emerging conditions, which caused an increase in inflation, currency volatility, the closure of a large number of companies in various market segments, and, consequently, unemployment, almost all economic activity has become very difficult. Thus, domestic automobile production was also affected. One of the latest measures aimed at destabilizing the Russian automotive industry within the framework of the next package of sanctions in March 2022 was a partial ban on the supply of high-tech products to the country and support for the IT-infrastructure of enterprises. Because of the withdrawal of foreign companies from the Russian market, production facilities such as: Volvo Cars, Jaguar, Land Rover, General Motors, Mitsubishi and others has stopped. The number of Russian car dealers by May has decreased significantly compared to the beginning of the year. Thus, about 70 dealer contracts were terminated. One of the largest car plants in Russia Avtovaz has already stopped its operation several times, and soon the French car concern Renault is going to transfer its share to the Central Automobile Research Institute FGUP NAMI with a buy-out option in 56 years and the production of most models of Renault will be stopped. The situation is also complicated by the already existing crisis in the industry due to the global shortage of semiconductors and other automotive components and newly emerged problems with logistics. There is an obvious need to conclude new deals, find new markets for purchasing raw materials and materials, intensify cooperation with friendly countries and use their experience, which can be done on the basis of uniting Russian clusters and foreign technological platforms, namely the TP of China is being considered.

The aim of this paper is to analyse longitudinally the development of purchasing strategies in the automotive industry during the last 20 years. The amplitude of the business cycle during this time frame has been very high and includes periods of financial/automotive crisis as well as high sales and demand. Our empirical data is primarily drawn from a 1990–2010 longitudinal case study of the relationship between automaker Volvo Personal Cars and Autoliv, a supplier of seat belts and airbags, complemented with secondary data framing the development of the industry level. The theoretical focus is on outsourcing and purchasing strategies developed within long-lasting buyer-supplier relationships; theoretical pillars are found in transaction-cost theories and the resource-based view of the firm. Based on the longitudinal case study, our analysis pinpoints the importance of intimate cooperation between customer and supplier in areas close to the core values and core competences of the buyer (that is, the automaker). From an industry-level perspective, the winners in the automobile industry from 2010 and onwards have been and will be those who can organize long-term collaboration partnerships between the automakers, their suppliers, and the political stakeholders, and who can outsource a large part of the technical development to the suppliers in areas also close to the core competences. The automakers must accept that their suppliers have competing automakers as their customers and search for synergies in their product portfolio. Theoretically, there is a need for conceptual development through deeper studies of the firm's relational capability and its implications.

Abstract: AI in driving is introduced as a self-driving in automobile industries. This research paper is presents a scient metric and bibliometric analysis on self-driving cars. A self-driving car (sometimes called an autonomous car or driverless car) is a vehicle that uses a combination of sensors, cameras, radar and artificial intelligence (AI) to travel between destinations without a human operator. To qualify as fully autonomous, a vehicle must be able to navigate without human intervention to a predetermined destination over roads that have not been adapted for its use. Companies developing and/or testing autonomous cars include Audi, BMW, Ford, Google, General Motors, Tesla, Volkswagen and Volvo, Tata Motors and Mahindra. Google's test involved a fleet of self-driving cars -- including Toyota Prii and an Audi TT -- navigating over 140,000 miles of California streets and highways. Through an examination of quantitative empirical evidence, we explore the importance of Artificial Intelligence (AI) as machine learning, deep learning and data mining on self-driving car research and development as measured by patents and papers. Alongside the exponential growth in the rate of inventive activities and scholarly efforts, we find evidence for a rapid and meaningful shift in the application of the technologies related to data gathering and processing for the purpose of self-driving cars after 2009. We show that this shift mirrors major changes in the landscape of innovators as well as increasing scholarly attention to the ethical, legal and social aspects of self-driving cars. Research and innovation relating to self-driving seem to be increasingly defined in terms of artificial intelligence, which neglects some aspects of future sociotechnical systems that may be required to realise the potential of the technology. Keywords: AI car, self-driving, Simulation test, autonomous cars, autopilot car.

Automotive head-up displays (HUDs) have the advantage of allowing drivers to keep their eyes forward while driving by superimposing visual information on top of the drivers’ forward field of view (FoV). In order to provide the intended advantage, HUDs must be designed such that they respect the characteristics and capacities of the human information processing system and accommodate the specific contexts of information use. Poorly designed HUDs indeed can adversely affect driving safety by creating new sets of problems, including visual clutter, information overload, inattentive blindness and cognitive capture (Gish and Staplin, 1995; Pauzie, 2015; Tufano, 1997; Ward and Parkes, 1994). During the last few decades, various research studies have proposed different HUD displays that present HUD information in particular styles. However, it is not well understood what type of display would be most advantageous or adequate for effectively communicating each information type and thus best serve drivers in performing the associated driving task. Relatively little research has been conducted to evaluate the available HUD displays in the interface design. As an initial effort towards addressing the knowledge gap, the objective of the current study was to provide a review of the existing HUD displays focusing on the interface design. Among the variety of HUD information types, the current review was intended to cover different types of safety information. For each type of safety information, the HUD displays proposed by the automobile industry and academic research were examined, in terms of their structures and behaviors and also related human factors display design principles. On the basis of the review results, this study suggests some future research directions that would help develop useful and effective HUD displays. This study conducted two literature searches, one for documents describing existing commercial HUD displays, and, the other one for research articles proposing or evaluating automotive HUD displays for communicating safety-related information. Thirteen major automobile manufacturers providing HUD systems, such as Audi, BMW Group, Ford, General Motors, Honda, Hyundai/KIA, Jaguar Land Rover, Mercedes-Benz, PSA Peugeot Citroen, Renault, SAAB, Toyota, and Volvo, were considered. The details of the interface designs of the manufacturers’ HUD displays were examined using the information provided in the vehicle manuals. Research articles were searched by utilizing terms describing four concepts: (1) head-up display (head up display(s), head-up display(s), HUD(s)), (2) automobiles (automotive, vehicle(s), car(s), automobile), (3) interface design (display, design, interface, augmented reality, human factors, system), and (4) safety information (safety, warning, alert). As a result, a total of 15 studies were included in this review. The review results indicated that safety-related HUD displays proposed by academic research studies were mostly AR-based and contact-analog. On the other hand, all of the commercial safety-related HUD displays were of the unregistered type and did not utilize the AR technology. It is not clear why the existing commercial HUD displays did not adopt the AR technology. Perhaps, it may be due to some technological challenges in incorporating the AR technology into the automotive HUD system. Alternatively, it may be that the efficacy of the AR HUD technology has not been confirmed for creating safety-related HUD displays. This study examined the HUD displays in terms of the human factors display design principles (Wickens et al., 2003). Many of the proposed displays indeed were based on some of the well-known display design principles, such as the principles of proximity compatibility, information access cost minimization, predictive aiding, color coding and consistency. However, the display proposed by George et al. (2012) seemed to provide a relatively large amount of information in one display. In this case, the legibility of the display may decrease and cause confusion in terms of discriminability. In addition, visual complexity may increase, which may degrade information processing. In dangerous situations, displays should be simple and should not require too much perception or interpretation. Future research will need to determine to what degree the complexity of the display is acceptable in hazardous or safety-critical driving situations. Research is also needed to identify the individual differences in the acceptance levels of visual complexity. On the basis of the review results, some future research directions were identified: • Research should attempt to develop design principles/guidelines that help designers identify an appropriate user interface type when given an information characteristic and its usage context. • What are the information characteristics suitable for contact-analog and unregistered display formats? Which of the two display formats would be more effective, under various circumstances, especially in situations where nearby hazards must be detected quickly? • Research is needed to investigate how to design and evaluate HUDs taking into account the drivers’ information processing capabilities under safety critical driving situations. • How many HUD displays can be presented without exceeding the drivers’ information processing capabilities under safety-critical driving situations? In this regard, what are the priority levels of different HUD displays and how can they be determined? • What is the acceptable level of visual complexity of a single or multiple displays within the drivers’ information processing capabilities? What are the individual differences in the acceptance levels of visual complexity?

Desafios relacionados à mobilidade geraram uma série de discussões entre todos os setores da sociedade e exerceram uma influência decisiva no declínio da qualidade de vida das pessoas. No centro desta discussão está a crescente dificuldade em acessar os serviços e oportunidades presentes nas cidades devido às barreiras impostas pelos atuais padrões de mobilidade urbana. Com base no entendimento de que o uso do atual modelo de mobilidade urbana é uma questão muito complexa, uma vez que está enraizado na cultura em algumas sociedades, a pesquisa utiliza uma abordagem qualitativa por meio de um estudo de múltiplos casos (AB Volvo; Daimler AG, Fiat Chrysler Automobiles, PSA Peugeot Citroën SA, Renault SA, Grupo Volkswagen AG) para avaliar como a indústria automotiva nacional está posicionada a partir de um processo de transição em que a mobilidade urbana tem enfrentado, em que a sustentabilidade também é uma exigência da sociedade. A estrutura fornecida pela abordagem MultiLevel Perspective (MLP) fornece uma teoria que conceitua padrões dinâmicos globais em transições sociotécnicas, combinando conceitos como trajetórias, esquemas e nichos, e teoria institucional, a partir do posicionamento de atores em contextos que são formados a partir de suas próprias ações.

Although the automobile industry has served as the backbone of much business history scholarship, business historians have paid little attention to this industry’s actions concerning the complex of environmental issues that took hold in the 1960s. Volvo represents a captivating case study to gain insight into why the automobile industry’s growth has been difficult to align with the shift toward environmental sustainability. Although Volvo pioneered the exhaust emission control technology on the U.S. market in the 1970s and gained an international reputation for high environmental and safety standards in the decades that followed, the company was unable to seriously address climate change in the 1990s. This article identifies several key factors impacting the automobile industry’s passive response to environmental challenges—for instance, weak and asymmetric emission control regulations on international markets, consumer preferences for larger cars (SUVs) in the 1990s, and a lack of systematic regulatory pressure to shift from fossil fuels and the internal combustion engine. In the case of Volvo, world leadership in safety standards, rather than low carbon emissions, constituted the company’s competitive advantage as climate change emerged as one of the most critical environmental issues in the 1990s.

In the early 1950s, the United States was mired in a highly emotional public health debate regarding the safety and efficacy of seatbelt use in automobiles. Post-World War II automobiles were outfitted with interiors that were not designed to protect passengers and, in many cases, could lead to severe injury. Many advocated for improvements in safety, yet others argued an infringement on personal rights, and disinformation was promoted to argue that seat belts were dangerous: “If a car burst into flames or if submerged, the driver would not be able to escape.” The Wisconsin State Journal wrote, “The value of seat belts had yet to be proved, especially in cases of keeping people from ‘being thrown out of the car.’” This is where research, medicine, and innovation helped to focus discussion and the financial implications that eventually led to meaningful safety improvements. Based upon research, the AMA and the American College of Surgeons, in 1954 and 1955, demanded that car manufacturers provide seatbelts. In 1959, Volvo engineer Nils Bohlin patented the three-point restraint which Volvo gave to all manufacturers—for free. Finally, in 1989, Transportation Secretary Elizabeth Dole made car companies decide between mandatory airbags and automatic restraints (expensive) or three-point restraints (cheaper). Thus, data informed society on the scope and scale of the problem. The discussion pivoted to a public health issue, and innovation led to options that those with economic interests became motivated to facilitate change. Today, our country is in a contentious debate over why firearms are the number one cause of pediatric mortality. From 1999 to 2017, 26,000 children died from firearms. Over that same time period, the Department of Defense reported 26,945 deaths in U.S. service members, of whom less than 20% died in combat.1 While the above facts are indisputable, the reasons why and what to do about it are embroiled in a passionate national conversation. Each voice represents an agenda that is rooted in ideological, economic, and social perspectives that may not be based on good data. As the volume of the discussion increases, passion and bias tend to drown out what we know and what can be learned. Prior work has studied the role that medical organizations have done in response to pediatric mortality from firearms. In 2022, Lillvis published in the Journal of Pediatric Surgery that while there has been a dramatic increase in public statements by physician professional associations, the announcements have been reactionary as opposed to keeping gun violence against children continuously on their agenda. The authors conclude that “…the issue of gun violence…fits within the realm of their professional expertise and experiences, declaring that #ThisIsOurLane.”2 What can pediatric orthopaedic surgeons and organizations such as POSNA and AAOS do? We can stay true to our missions of research, education, and quality care in order to promote optimal musculoskeletal health for all children. In the past, when an orthopaedic issue has been fully vetted, we have also provided informed advocacy. Examples include avoiding hip swaddling, guiding safe ATV use, and highlighting the risk of trampolines. While other organizations have focused on mortality, can we do similar work on the lifetime morbidity and the societal cost of musculoskeletal injury to children from firearms? In this edition of JPOSNA®, Villegas and Whitaker present a thorough review of the management of pediatric firearm injuries, which will help us manage the current problem that we face. Can we do more than study optimal methods to treat these injuries and their complications and sequelae? What are some public health questions we can help answer through research? 1. What are the annual numbers of pediatric orthopaedic firearm injuries in the U.S.? 2. What are the annual numbers of pediatric orthopaedic firearm injuries in each state? 3. What are the annual costs to the nation and the states to manage acute musculoskeletal firearm injuries? a. How do these costs compare to federally funded research in firearm injury? 4. What are the societal costs for a child to be permanently disabled from a musculoskeletal firearm injury? a. While this question seems daunting, can we mirror methodology from a prior JPOSNA® study by Koenig et al. 2020? In this study, the authors quantified the lifetime Financial Impact of Surgical Care for Scoliosis, Developmental Hip Dysplasia, and Slipped Capital Femoral Epiphysis in Children.3 5. Do the number of injuries correlate with different legislation on gun safety? a. We know that those states that mandate safer gun storage with child access prevention (CAP) laws have lower rates of suicide, unintentional, and overall firearm-related deaths.4–10 Does more stringent gun storage legislation translate into decreased rates of musculoskeletal injury and the attendant acute cost and potential lifetime cost? With the above data and other approaches, we can help educate society on the impact of orthopaedic firearm injuries and where possible, inform strategies to prevent these injuries. Pediatric orthopaedists have the respect of our patients, families, and our society. Similar to our predecessors who framed automobile safety as a public health crisis, don’t we have a role in performing research and objectively presenting the data to society and policy makers?

Background/Purpose: Every automaker is racing to generate self-driving innovations and some slew of fantastic tech firms and start-ups doing the same. The vehicle industry has a long history of implementing cutting-edge technologies to bring efficient, creative, and reliable vehicles to market, all while working to reduce production costs. Such innovations involve machine learning and computational intelligence, which are essential to automobiles progress. Machine learning (AI) technologies have made the innovative concept of self-driving vehicles an actuality. Today, global automotive rulers such as BMW, Volvo, and Tesla use intelligent automation to enhance production, raise production efficiency, and actually drive secure, extra relaxed, expanding, and increasingly enjoyable. This article provides a comprehensive analysis of Companies in the development of Autonomous vehicles and used ABCD analysis to examine the key parameters. Objective: Analyses the technology and business strategies of the companies in the Race of Autonomous cars. Design/Methodology/Approach: The information for this case study were gathered from various scholarly articles and websites. Findings/Result: The technological details of Artificial Intelligence, Self-driving car companies, laws and restrictions of different companies for using Self-driving vehicles, Autopilot driving features, sales volume and financial expansion, Impact of COIVID-19 on Autonomous vehicles business are studied. The impacts of COVID-19 on the autonomous car business are analysed using the ABCD framework. Originality/Value: The result provides a brief overview of different self-driving vehicle companies and self-driving technology building companies in the competitive race. Paper type: A Research Case study paper - focuses on companies in a race of producing Autonomous vehicles and the growth of those companies.