How the Public can Understand the Capacities and Impacts of Ground Automation
Ground automation already characterizes highway navigation in many countries. The technology is already shaping the future of transport, yet major stakeholders are still debating its full implementation. There exists an urgent need to communicate the potential impact of ground automation on social dimensions and people residing within such infrastructure. Such initiatives help people understand the extent to which ground automation enhances the efficiency of transportation systems. This paper explores how the communication of scientific and technological advances in ground automation influence people’s understanding of the transportation system’s evolving capacity.
Drivers spend much of their time searching for parking spaces in cities. While ground automation creates the need for repurposing packing in the future, we cannot compare the concerns with the reduced mortality rates from road accidents. Ground automation also resolves parking issues in cities (Hancock et al., 2019). Full implementation of driverless cars technology will provide cities with valuable land that was previously allocated for parking. Rezoning and developing the spaces might create sustainable solutions within cities. The growing use of automated vehicles makes it important to provide reliable information to the public to understand how ground automation benefits their wellbeing.
Driverless cars influence the nature of available jobs. The technology will likely make taxi and truck drivers redundant. However, ground automation technologies come with new jobs and skills demands. Drivers will have to supervise their vehicles from remote control centers. The automated vehicles will also increase individuals’ employment opportunities in economically dressed areas (Hancock et al., 2019). There are numerous research opportunities for scholars to study automated vehicles. Moreover, trends suggest the creation of jobs in software development, data science, planning, and engineering to support ground automation technologies. Unfortunately, only skilled individuals will benefit from the employment opportunities. Those less skilled and less educated people of whom technology will declare redundant like drivers have minimal chances of retaining their current roles (Shammut, 2020). Using mainstream media to communicate the impacts of ground automation on employment encourages people to acquire the sought-for skills to remain relevant in the labor market.
Driverless cars fulfill the mobility needs of people who cannot drive, such as the elderly, children, and the disabled (Hancock et al., 2019). The cars could support the sick, the frail, and the disabled while ensuring other road users’ safety. Senior citizens who maintain their independence will access community gatherings, physician appointments, and food supplies vital for wellness promotion. Transportation agencies need to provide thoughtful communication to guide individuals with special mobility needs on making the best use of autonomous features in driverless vehicles. This approach will ensure the effectiveness of ground automation technologies in fulfilling everyone’s transportation needs (Greig, 2021).
Autonomous vehicles can reduce the accidents attributable to human error. The vehicles have integrated assistance systems that support drivers’ safety needs. The systems provide intersection assistance, collision avoidance and warning, and lane-centering assistance. On the other hand, extreme weather conditions challenge the reliability of the technology and can cause fatal collisions. Integrating machine learning algorithms in the automated vehicles’ systems enables the vehicles to learn from previous errors to avoid them in the future. This strategy significantly reduces adverse safety issues like fatal collisions (Shammut, 2020). A communication gap exists because people tend to oppose ground automation technologies due to reliability issues. For instance, Uber’s test vehicle collision with a pedestrian in 2018 caused a lot of concerns. Effective communication balances the numerous advantages of ground automation with the few concerns raised (Hancock et al., 2019).
Driverless cars can travel many miles than conventional cars requiring physical steering. This capability implies that they could increase energy consumption. The convenience of traveling increases the number of miles traveled. People will make trips that they were unable to do previously. Commuters from distant areas will rely on cars for transportation because they will not be required to drive physically (Beeler, 2017). Informing the public about the environmental impacts of overusing driverless vehicles can significantly enhance conservation efforts. In addition, authorities need to make public declarations to increase awareness about energy conservation needs.
Self-driving cars can reduce transportation energy consumption by 90 percent. Cars that utilize fossil fuels contribute more than 25 percent of the global greenhouse gas emissions. Automated cars with computerized route optimization systems travel faster and have minimal environmental impacts. The systems break and accelerate smoothly and guide the car toward fuel-efficient routes (Worland, 2016). Thus, the highly effective technology is likely to reduce car ownership. Moreover, integrating energy conservation communication into mainstream media can spur behavior change and result in the acceptance of driverless cars (Shammut, 2020).
An informed society can judge and critically evaluate the advantages of automated vehicles. Communicating the extended impacts of ground automation technologies helps the public judge their value (Hancock et al., 2019). The beneficial aspects of driverless cars include improved social cohesion (Bonnefon et al., 2016). Using gains such as mobility and safety assurance, strategic communication focusing to enhance public acceptance of ground automation should focus on its impacts on the economic, social, and technical dimensions.
Beeler, C. (2017). Driverless cars could either be ‘scary’ or great for the environment. The World. www.theworld.org/stories/2017-04-18/driverless-cars-could-either-be-scary-or-great-environment
Bonnefon, J. F., Shariff, A., & Rahwan, I. (2016). The social dilemma of autonomous vehicles. Science, 352(6293), 1573–1576. https://doi.org/10.1126/science.aaf2654
Greig, J. (2021). How autonomous vehicles could help the elderly and disabled in the near future. TechRepublic. www.techrepublic.com/article/how-autonomous-vehicles-could-help-the-elderly-and-disabled-in-the-near-future/.
Hancock, P. A., Nourbakhsh, I., & Stewart, J. (2019). On the future of transportation in an era of automated and autonomous vehicles. Proceedings of the National Academy of Sciences of the United States of America, 116(16), 7684–7691. https://doi.org/10.1073/pnas.1805770115
Shammut, M. (2020). Driverless cars implications: A literature review. Massey University.
Worland, J. (2016). Self-driving cars could help save the environment—or ruin it. It depends on us. Time. www.time.com/4476614/self-driving-cars-environment/.