Autonomous Vehicle

Scientific expertise in autonomous vehicle technology is growing at a faster rate than ever. Consequently, for researchers who may struggle to bridge the difference between information processing requirements and information processing capability. There is the risk of incurring information overload is especially notable. Research proves that it is no longer a dream to drive autonomously. The automotive industry is designing the vehicle to take more responsibility for maneuvers.

Convincing drivers to hand over power requires substantial confidence in the vehicle’s ability to plan the necessary schemes and strategies. Having HD maps and sensors work together in tandem for the best solution is the easiest, most successful. When it creates confidence through HD Live Map, it provides reliable, accurate information. That provides the vehicle more transparency about the environment to make safer decisions.

Autonomous Vehicle Technology
Autonomous Vehicle

Revolution in Autonomous Vehicle

Autonomous vehicle’s driving would revolutionize road traffic, mitigating current externalities, especially accidents and congestion. For years, carmakers, academics, and policymakers have been working on autonomous driving, and considerable progress has been made. As a result, in the near term, carmakers do not plan to deploy fully-driverless cars commercially. Cooperation and platooning of General Autonomous Vehicles (V2V) are options that are explored, both with several variants.

Various methods, constructed from multiple points of view, are developing and validating using simulation. From a technological point of view, one of the biggest problems is the unambiguous identification of obstacles. Mainly they are at high speeds and long distances. Both methods share the vision that vehicles should act cooperatively concerning traffic management strategies.

However, when the implementation of an autonomous driving environment requires complex vehicle technology and human actions. Ethics, traffic management techniques, regulations, liability, etc., the doubts and obstacles that needs addressing, are still immense.

Legal Issues in Autonomous Vehicle

Moreover, in the sense of highly-automated driving, legal problems have already arisen. Ranging from the dire need for special driving licenses to much more nuanced subjects. For example, liability in an accident or privacy concerns.

The authors highlight the most important developments and discoveries accomplished so far, address various approaches to autonomous traffi. A framework for future study, based on the knowledge obtained in situations from one of the very high research centers in the field. As well as also from the literature review. When technologically viable, all these legal and ethical issues could impede the spread of autonomous vehicles.

Minimizing and avoiding crash and autonomous vehicles research at CIRP (Center for Injury Research and Prevention)

CIRP carries out crash avoidance and independent vehicle testing to keep drivers and passengers safe.

With Advanced Driver Assistance Systems (ADAS), including forwarding Collision Warning and Lane Departure Warning. The automated features such as Automatic Emergency Braking, existing commercially available vehicles are increasingly automated. An especially vulnerable group, teen drivers, is the CIRP research team’s subject and how they communicate with ADAS.

When self-driving and semi-autonomous vehicles join US roadways, while traveling in self-driving cars or autonomous vehicles, CIRP researchers are also exploring new safety issues for child riders. This avoidance of crashes and autonomous vehicle research, particularly concerning human factors, is becoming increasingly important.

The multidisciplinary research team uses the Advanced Driving Simulator from CIRP, which can simulate semi-autonomous and self-driving or autonomous vehicles, to study the human factors at play in day-to-day driving or an emergency scenario while switching from one driving mode to the next.

Autonomous Vehicle
Autonomous Vehicle

Strategic Highway Research Program

The Strategic Highway Research Program 2 (SHPR2) Naturalistic Driving Study data collection helps the team to investigate 1,500 accidents in real life, many of them involving adolescents. Also, through focus groups and national surveys, the research team performs qualitative research to determine the experience and comfort level of young drivers with ADAS and automated technologies.

A national survey was developed based on earlier focus group research on active safety technology and teen drivers.

Reports among teenage and adolescent drivers of autonomous vehicle

The report, provided to 1,000 teenagers and 1,000 parents of licensed teenagers, examined the expectations of teenagers and parents of advanced driver assistance systems (ADAS) to help identify and overcome any potential barriers to the use of ADAS.

The findings, recently published in Traffic Accident Prevention and presented at the 62nd Annual Conference of the (AAAM) Association for the Advancement of Automotive Medicine , highlight possible obstacles to ADAS usage among adolescent drivers, including a relative disinterest among adolescents for ADAS intervention during risky driving and fears among adolescents and parents that ADAS would impede the development of skills.

Research Studies

The results of one of the research studies indicate that research into autonomous vehicles is mostly driven by technology and much more focuses on exploring the technological advances. That are required to enable the widespread implementation of autonomous vehicles. Instead of exploring the socio-economic, environmental, cultural, political, institutional, and organizational aspects of the potential transition to sustainable transport systems through socio-technical means. Research is not enough that explores the non-technical aspects of autonomous vehicles, relative to technology-related dimensions.

Autonomous Vehicle
Autonomous Vehicle

As a result, the current state of research on autonomous vehicles shows a significant lack of commitment to the feasibility of the introduction of large-scale autonomous vehicles. To determine the sustainability consequences of autonomous vehicles, little analysis was carried out. and this minimal effort reflects the utmost exclusion.

Social and Economic Consequences of Autonomous Vehicles

Moreover, the study reveals that social and economic consequences are not the only aspects of sustainability that have been widely ignored in the 50 years of research on autonomous vehicles under investigation. Environmental effects give adequate thought. The structural, technological changes needs to provide society with environmentally efficient transport systems. Expects to implement autonomous-driving solutions.

Transitions in sustainability require a new balance between creative technological trajectories and these non-technical aspects.

There is a need for a stable match, by experimenting with new structural configurations.

Autonomous vehicle research continues to be far from finding this balance. We need more sustainability-oriented research to shed light on what current socio-technical structures are in place. That can ensure that the structural, technological transition implemented by transport systems based on autonomous vehicles fulfills societal functions. While meeting the urgent need for more sustainable solutions to transport.

Transition Studies on Technical Process

A significant lesson from transition studies is that transitions in sustainability require not just major changes in technical processes that serve societal functions. They also suggest co-evolutionary shifts in non-technological properties, which give the significance and purpose of the newly introduced artifact.

Impact of COVID-19

In addition, it is also important to highlight that Autonomous Vehicle-related sustainability studies require exploring. Mainly about how the development of Autonomous Vehicles will be impacted by the Covid-19 pandemic. What new barriers and opportunities are brought to light. When looking at changes in organizational settings regulating the functioning of transport systems.

For example, they force individuals to follow social distance measures to prevent the spread of the virus, Autonomous Vehicles have been deployed for low-speed. Moreover, non-contact delivery services, in particular in areas that have been subject to lockdown measures.