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The successful and commercial use of self-driving/driverless/unmanned/automated car will make human life easier. The paper aims to discuss this issue.

This paper reviews the key technology of a self-driving car. In this paper, the four key technologies in self-driving car, namely, car navigation system, path planning, environment perception and car control, are addressed and surveyed. The main research institutions and groups in different countries are summarized. Finally, the debates of self-driving car are discussed and the development trend of self-driving car is predicted.

This paper analyzes the key technology of self-driving car and illuminates the state-of-art of the self-driving car.

The main research contents and key technology have been introduced. The research progress as well as the research institution has been summarized.

Recent studies on commuter parking in an age of fully autonomous vehicles (FAVs) suggest, that the number of parking spaces close to the workplace demanded by commuters will decline because of the capability of FAVs to return home, to seek out (free) parking elsewhere or just cruise. This would be good news because, as of today, parking is one of the largest consumers of urban land and is associated with substantial costs to society. None of the studies, however, is concerned with the special case of employer-provided parking, although workplace parking is a widespread phenomenon and, in many instances, the dominant form of commuter parking. The purpose of this paper is to analyze whether commuter parking will decline with the advent of self-driving cars when parking is provided by the employer.

This study looks at commuter parking from the perspective of both the employer and the employee because in the case of employer-provided parking, the firm’s decision to offer a parking space and the incentive of employees to accept that offer are closely interrelated because of the fringe benefit character of workplace parking. This study develops an economic equilibrium model that explicitly maps the employer–employee relationship, considering the treatment of parking provision and parking policy in the income tax code and accounting for adverse effects from commuting, parking and public transit. This study determines the market level of employer-provided parking in the absence and presence of FAVs and identifies the factors that drive the difference. This study then approximates the magnitude of each factor, relying on recent (first) empirical evidence on the impacts of FAVs.

This paper’s analysis suggests that as long as distortive (tax) policy favors employer-provided parking, FAVs are no guarantee to end up with less commuter parking.

This study’s findings imply that in a world of self-driving cars, policy intervention related to work commuting (e.g. fringe benefit taxation or transport pricing) might be even more warranted than today.

Autonomous technologies represent an increasingly important, but at the same time controversial technological field with enormous potential. From a consumer perspective, however, the growing autonomy of technologies might result in a perceived loss of control, which can lead to consumer resistance. Given the practical and theoretical relevance, this research examines antecedents to consumer adoption of autonomous technologies in the context of self-driving cars.

This article looks through the lens of the technology acceptance model and conducts structural equation modeling.

The study validates the positive effect of perceived usefulness on behavioral intention to adopt self-driving cars. The results further suggest that individuals with a generally negative attitude toward technologies are afraid that they might not be capable of handling the new technology. Moreover, further mediation analyses reveal that perceived ease of use and perceived usefulness help us to explain the indirect effects of novelty seeking and technology anxiety on adoption intention.

The results imply that users' perceptions of an autonomous technology's usefulness are an important determinant of technology adoption. Adoption barriers could be overcome by emphasizing the usability of the new technology. On the other hand, individuals who enjoy using the old technology may be persuaded by arguments that focus on the usefulness of the new technology rather than its ease of use.

Self-driving automobiles will change our perception of mobility. It is important to understand the mechanisms that drive the adoption of such innovations.

There are ethical, legal, social and economic arguments surrounding the subject of autonomous vehicles. This paper aims to discuss some of the arguments to communicate one of the current issues in the rising field of artificial intelligence.

Making use of widely available literature that the author has read and summarised showcasing her viewpoints, the author shows that technology is progressing every day. Artificial intelligence and machine learning are at the forefront of technological advancement today. The manufacture and innovation of new machines have revolutionised our lives and resulted in a world where we are becoming increasingly dependent on artificial intelligence.

Technology might appear to be getting out of hand, but it can be effectively used to transform lives and convenience.

From robotics to autonomous vehicles, countless technologies have and will continue to make the lives of individuals much easier. But, with these advancements also comes something called “future shock”.

Future shock is the state of being unable to keep up with rapid social or technological change. As a result, the topic of artificial intelligence, and thus autonomous cars, is highly debated.

The study will be of interest to researchers, academics and the public in general. It will encourage further thinking.

This is an original piece of writing informed by reading several current pieces. The study has not been submitted elsewhere.

Contemporary urban and regional planning practice and scholarship often fails to address the full implications of technological change (technology blindness), lacks a clear or consistent definition of the long term (temporal imprecision) and seldom uses formal foresight methodologies. Discussion in the literature of time horizons beyond 10 years is, therefore, based on profoundly unrealistic assumptions about the future. The paper aims to discuss why conventional reasoning about possible futures is problematic, how consideration of long-term timescales is informal and inconsistent and why accelerating technological change requires that planners rethink basic assumptions about the future from 2030s onward.

The author reviews 1,287 articles published between January 2010 and December 2014 in three emblematic urban and regional planning journals using directed content analysis of key phrases pertaining to long-term planning, futures studies and self-driving cars.

The author finds that there is no evidence of consistent usage of the phrase long term, that timeframes are defined in fewer than 10 per cent of articles and that self-driving cars and related phrases occur nowhere in the text, even though this technology is likely to radically transform urban transportation and form starting in the early 2020s. Despite its importance, discussion of disruptive technological change in the urban and regional planning literature is extremely limited.

To make more realistic projections of the future from the late 2020s onward, planning practitioners and scholars should: attend more closely to the academic and public technology discourses; specify explicit timeframes in any discussion or analysis of the future; and incorporate methods from futures studies such as foresight approaches into long-term planning.

This paper identifies accelerating technological change as a major conceptual gap in the urban and regional planning literature and calls for practitioners and scholars to rethink their foundational assumptions about the long-term and possible, probable and preferable futures accordingly.