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This report focuses on the increasing use of autonomous cars and the changes that have been brought by these cars in the automobiles industry. Over the past few years, researchers, commentators and other experts on this subject matter have been explaining the advantages and disadvantages of autonomous cars. Due to the increasing popularity of those cars in today's economy, it is argued by several researchers that there's a requirement for more researches and studies on the way to enhance the effectiveness and also the use of those self-driving cars. In this regard, this paper will emphasize on various key themes including the safety, regulations and the types of infrastructures required to support the effective use of these autonomous cars. This report will also cover various aspects of this industry by seeking to understand the gaps and limitations of this industry. To achieve this, the report will underpin the arguments with real facts and evidence from different researchers, reports as well as the peer-reviewed journals.
This Short-Term Scientific Mission (STSM) was undertaken to contribute to the delivery of the scientific objectives of COST Action CA16222, which aims to address the “Wider Impacts and Scenario Evaluation of Autonomous and Connected Transport (WISE-ACT)”. To this end and in order to contribute to our understanding of the social impacts of autonomous transport, the STSM focused on topic no.4 of CA166222, “Literature review on social challenges of autonomous transport. The literature review identifies and categorizes the social benefits and costs of autonomous transport in terms of safety, accessibility to urban opportunities, privacy and security and the ethical dilemmas associated with the automating driving. Other important social issues discussed in this report include the potential impact of autonomous transport on employment; travel behaviours and the possible socio-environmental consequences; land use and urban spatial structure and gender. For each of these themes, possible equity implications are highlighted by addressing the question: which groups in society are more likely to enjoy the benefits and which groups might be affected negatively as we transition towards autonomous transport? Thus, this STSM report contributes directly to the WISE-ACT objective of examining the wider impacts of autonomous vehicle while expanding the existing network of researchers on the topic in Europe to provide a foundation for possible collaborative research in the future.
Artificial Intelligence (AI) has played a significant role in the recent past and is evidently creating major changes across every industry. AI has several applications from automation to cutting edge innovations in every industry, however the attention in this report is on how AI has changed the automobile industry with the development of driverless cars and its impact on people. The technology is still developing and the risks associated on a new technology is clearly at a level of prediction. This report will focus on the risks perceived at an individual perspective and at a social perspective, through the application of theories. Finally, discussing trust associated with risk and risk communication, and communication strategy.
Municipal Engineer, 2018
This paper reviews the state of the art on autonomous vehicles as of 2017, including their impact at socio-economic, energy, safety, congestion and land-use levels. This impact study focuses on the issues that are common denominators and are bound to arise independently of regional factors, such as (but not restricted to) change to vehicle ownership patterns and driver behaviour, opportunities for energy and emissions savings, potential for accident reduction and lower insurance costs, and requalification of urban areas previously assigned to parking. The challenges that lie ahead for carmakers, law and policy makers are also explored, with an emphasis on how these challenges affect the urban infrastructure and issues they create for municipal planners and decision makers. The paper concludes with strengths, weaknesses, opportunities, and threats analysis that integrates and relates all these aspects.
There's a concern about the spatial dimension of the “Automotive Revolution”. In fact, despite the strategic contribution of the “Fuel and Human-Driver-based Automotive Model” to the transformation of the Modern Economy during the 19th and 20th centuries, it has acted as centrifugal force that disperses economic activities and stimulates the emergence of “Gradual Polycentric Configuration” . By so doing, the “Fuel and Human-Driver-based Automotive Model” has had less impact on agglomeration economies and the formation of large size cities. However, the adoption of the “Clean-Electric and Driverless Automotive-based Model” so called “Driverless Car” will act as “Centripetal force” that will favor both Core-Periphery and Gradual Polycentric Configurations that boost the agglomeration economies on the one hand and accelerate the formation of the large size cities on the second hand throughout not only the reduction of transportation and communications costs but also throughout the emergence of “Zero Insecurity City” (dramatic reduction of the traffic accident), the reduction of land use for infrastructure due to the elimination of parking spaces and other “Human-driver signals”, the reduction of infrastructure spending and public transportation costs, the reduction of emission and congestion costs and the reduction of housing prices in both urban, suburban and peripheral areas. Key words: Fuel and Human-Driver-based Automotive Model, Clean-Electric and Driverless Automotive-based Model, Driverless Car, Gradual Polycentric Configuration, Core-Periphery Configuration.
The automotive industry has been around for quite some time and it has evolved ever since, but the major transformation that is happening now from vehicles driven by humans to vehicles driven by themselves will have a long term impact on society. Today's cars are already connected and have been connected for some time, since they can link to smartphones, offer emergency roadside assistance, register real-time traffic alerts etc., but this evolution is about to change. The automobile industry is on the brink of a revolution, to move to self-driving automobile industry, and the driving force behind this is the fast developing technology, the Internet of Things (IoT). IoT will transform the automobile industry and at the same time, the automobile industry will provide a big boost to IoT. The potential and the prospects of this technology is astonishing. This paper examines the market and technical trends towards Autonomous Vehicles, evolution stages from early cars to fully autonomous, the importance of IoT in driving this industry ecosystem, advantages and disadvantages of Autonomous Vehincles, key issues and challenges faced by the industry, standards activities around this industry and finally the deployment use cases. The focus of this paper is more based on an industrial push to identify issues and challenges of Autonomous Vehicles and less on any academic research activity. The intention of this paper is to bring these issues and challenges to the attention of IFAC technical committee and trigger some debate on the opportunities for IFAC research in international stability.
2016
Diffusion of emerging technologies is following the need of solving particular problems. Each innovation produces also some undesirable consequences. Many examples from the past have shown that along with the spread of each technology their side effects are accumulating until the level they need to be solved. One of the examples is automobile, which advantages and disadvantages were already described including its spatial consequences. Automobile did not change its general way of functioning for over one century, and recent technological advances in automation may revolutionize the way it is used. Nowadays, automotive and IT industries are investing in so called: autonomous automobiles, driverless vehicles and self-driving cars, the meaning of which intertwine. Diffusion of automation in mobility is going to accelerate in the near future. The earliest implementations of new transport technologies appear in metropolises which also have the highest level of general mobility. Due to the possible significant consequences of this innovation's diffusion for metropolitan (urban and suburban) spatial structures it is important to anticipate its potential side effects to avoid negative consequences, and if necessary – to prepare to encounter them. This led to undertake research on the relationship between modern mobility innovations and metropolitan spatial structures. The article presents the assumptions and principles of scenario-based research. The example shows how diffusion of different driverless mobility solutions determine different impacts on spatial structures, and thus possible scenarios for the future.
Energy policy, 2003
CBU International Conference Proceedings 2016
Many examples from the past show that new technologies designed to solve particular problems can also create side effects generating new problems. Some unforeseen or unwanted results may influence space use and spatial structures. Car-sharing is an invention to compete with car ownership. It drastically rise efficiency of car use, reducing the number of vehicles per users. Diffusion of car-sharing is going to accelerate in the near future. The spatial consequences of the car-ownership-oriented-century are already known. But things can complicate if everybody could join traffic with shared automobiles. It is therefore appropriate to anticipate potential side effects of this innovation’s diffusion to avoid negative consequences, and if necessary – to prepare to encounter them. This led to undertake research on the relationship between modern mobility innovations and metropolitan spatial structures. The earliest implementations of new transport technologies appear in metropolises which also have the highest level of general mobility. The article presents the assumptions and principles of scenario-based research. The example shows how different levels of diffusion of innovation determine possible scenarios of the future impacts of car-sharing on spatial structures.
This report explores the impacts that autonomous (also called self-driving, driverless or robotic) vehicles are likely to have on travel demands and transportation planning. It discusses autonomous vehicle benefits and costs, predicts their likely development and implementation based on experience with previous vehicle technologies, and explores how they will affect planning decisions such as optimal road, parking and public transit supply. The analysis indicates that some benefits, such as independent mobility for affluent non-drivers, may begin in the 2020s or 2030s, but most impacts, including reduced traffic and parking congestion (and therefore road and parking facility supply requirements), independent mobility for low-income people (and therefore reduced need to subsidize transit), increased safety, energy conservation and pollution reductions, will only be significant when autonomous vehicles become common and affordable, probably in the 2040s to 2060s, and some benefits may require prohibiting human-driven vehicles on certain roadways, which could take longer.
Driverless cars are seen as one of the key disruptors in the next technology revolution. However, the main barrier to adoption is the lack of public trust. The purpose of this study is to investigate the key factors influencing the adoption of driverless cars. Drawing on quantitative evidence, the study found that the ability of the driverless car to meet performance expectations and its reliability were important adoption determinants. Significant concerns included privacy (autonomy , location tracking and surveillance) and security (from hackers). The paper provides implications for firms developing the next generation of car features and early implementation sites.
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