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A. The automotive sector is well used to adapting to automation in manufacturing. The implementation of robotic car manufacture from the 1970s onwards led to significant cost savings and improvements in the reliability and flexibility of vehicle mass production. A new challenge to vehicle production is now on the horizon and, again, it comes from automation. However, this time it is not to do with the manufacturing process, but with the vehicles themselves.Research projects on vehicle automation are not new. Vehicles with limited self-driving capabilities have been around for more than 50 years, resulting in significant contributions towards driver assistance systems. But since Google announced in 2010 that it had been trialling self-driving cars on the streets of California, progress in this field has quickly gathered pace.B. There are many reasons why technology is advancing so fast. One frequently cited motive is safety; indeed, research at the UK’s Transport Research Laboratory has demonstrated that more than 90 percent of road collisions involve human error as a contributory factor, and it is the primary cause in the vast majority. Automation may help to reduce the incidence of this.Another aim is to free the time people spend driving for other purposes. If the vehicle can do some or all of the driving, it may be possible to be productive, to socialise or simply to relax while automation systems have responsibility for safe control of the vehicle. If the vehicle can do the driving, those who are challenged by existing mobility models – such as older or disabled travellers – may be able to enjoy significantly greater travel autonomy.C. Beyond these direct benefits, we can consider the wider implications for transport and society, and how manufacturing processes might need to respond as a result. At present, the average car spends more than 90 percent of its life parked. Automation means that initiatives for car-sharing become much more viable, particularly in urban areas with significant travel demand. If a significant proportion of the population choose to use shared automated vehicles, mobility demand can be met by far fewer vehicles.D. The Massachusetts Institute of Technology investigated automated mobility in Singapore, finding that fewer than 30 percent of the vehicles currently used would be required if fully automated car sharing could be implemented. If this is the case, it might mean that we need to manufacture far fewer vehicles to meet demand. However, the number of trips being taken would probably increase, partly because empty vehicles would have to be moved from one customer to the next.Modelling work by the University of Michigan Transportation Research Institute suggests automated vehicles might reduce vehicle ownership by 43 percent, but that vehicles’ average annual mileage double as a result. As a consequence, each vehicle would be used more intensively, and might need replacing sooner. This faster rate of turnover may mean that vehicle production will not necessarily decreaseE. Automation may prompt other changes in vehicle manufacture. If we move to a model where consumers are tending not to own a single vehicle but to purchase access to a range of vehicle through a mobility provider, drivers will have the freedom to select one that best suits their needs for a particular journey, rather than making a compromise across all their requirements.Since, for most of the time, most of the seats in most cars are unoccupied, this may boost production of a smaller, more efficient range of vehicles that suit the needs of individuals. Specialised vehicles may then be available for exceptional journeys, such as going on a family camping trip or helping a son or daughter move to university.F. There are a number of hurdles to overcome in delivering automated vehicles to our roads. These include the technical difficulties in ensuring that the vehicle works reliably in the infinite range of traffic, weather and road situations it might encounter; the regulatory challenges in understanding how liability and enforcement might change when drivers are no longer essential for vehicle operation; and the societal changes that may be required for communities to trust and accept automated vehicles as being a valuable part of the mobility landscape.G. It’s clear that there are many challenges that need to be addressed but, through robust and targeted research, these can most probably be conquered within the next 10 years. Mobility will change in such potentially significant ways and in association with so many other technological developments, such as telepresence and virtual reality, that it is hard to make concrete predictions about the future. However, one thing is certain: change is coming, and the need to be flexible in response to this will be vital for those involved in manufacturing the vehicles that will deliver future mobility.

Question

A. The automotive sector is well used to adapting to automation in manufacturing. The implementation of robotic car manufacture from the 1970s onwards led to significant cost savings and improvements in the reliability and flexibility of vehicle mass production. A new challenge to vehicle production is now on the horizon and, again, it comes from automation. However, this time it is not to do with the manufacturing process, but with the vehicles themselves.Research projects on vehicle automation are not new. Vehicles with limited self-driving capabilities have been around for more than 50 years, resulting in significant contributions towards driver assistance systems. But since Google announced in 2010 that it had been trialling self-driving cars on the streets of California, progress in this field has quickly gathered pace.B. There are many reasons why technology is advancing so fast. One frequently cited motive is safety; indeed, research at the UK’s Transport Research Laboratory has demonstrated that more than 90 percent of road collisions involve human error as a contributory factor, and it is the primary cause in the vast majority. Automation may help to reduce the incidence of this.Another aim is to free the time people spend driving for other purposes. If the vehicle can do some or all of the driving, it may be possible to be productive, to socialise or simply to relax while automation systems have responsibility for safe control of the vehicle. If the vehicle can do the driving, those who are challenged by existing mobility models – such as older or disabled travellers – may be able to enjoy significantly greater travel autonomy.C. Beyond these direct benefits, we can consider the wider implications for transport and society, and how manufacturing processes might need to respond as a result. At present, the average car spends more than 90 percent of its life parked. Automation means that initiatives for car-sharing become much more viable, particularly in urban areas with significant travel demand. If a significant proportion of the population choose to use shared automated vehicles, mobility demand can be met by far fewer vehicles.D. The Massachusetts Institute of Technology investigated automated mobility in Singapore, finding that fewer than 30 percent of the vehicles currently used would be required if fully automated car sharing could be implemented. If this is the case, it might mean that we need to manufacture far fewer vehicles to meet demand. However, the number of trips being taken would probably increase, partly because empty vehicles would have to be moved from one customer to the next.Modelling work by the University of Michigan Transportation Research Institute suggests automated vehicles might reduce vehicle ownership by 43 percent, but that vehicles’ average annual mileage double as a result. As a consequence, each vehicle would be used more intensively, and might need replacing sooner. This faster rate of turnover may mean that vehicle production will not necessarily decreaseE. Automation may prompt other changes in vehicle manufacture. If we move to a model where consumers are tending not to own a single vehicle but to purchase access to a range of vehicle through a mobility provider, drivers will have the freedom to select one that best suits their needs for a particular journey, rather than making a compromise across all their requirements.Since, for most of the time, most of the seats in most cars are unoccupied, this may boost production of a smaller, more efficient range of vehicles that suit the needs of individuals. Specialised vehicles may then be available for exceptional journeys, such as going on a family camping trip or helping a son or daughter move to university.F. There are a number of hurdles to overcome in delivering automated vehicles to our roads. These include the technical difficulties in ensuring that the vehicle works reliably in the infinite range of traffic, weather and road situations it might encounter; the regulatory challenges in understanding how liability and enforcement might change when drivers are no longer essential for vehicle operation; and the societal changes that may be required for communities to trust and accept automated vehicles as being a valuable part of the mobility landscape.G. It’s clear that there are many challenges that need to be addressed but, through robust and targeted research, these can most probably be conquered within the next 10 years. Mobility will change in such potentially significant ways and in association with so many other technological developments, such as telepresence and virtual reality, that it is hard to make concrete predictions about the future. However, one thing is certain: change is coming, and the need to be flexible in response to this will be vital for those involved in manufacturing the vehicles that will deliver future mobility.

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Solution

A. The automotive sector has a long history of adapting to automation in manufacturing. The introduction of robotic car production in the 1970s brought about significant cost savings and improvements in the reliability and flexibility of mass vehicle production. Now, a new challenge is emerging in vehicle production, but this time it is not related to the manufacturing process itself. Research projects on vehicle automation have been ongoing for many years, leading to advancements in driver assistance systems. However, since Google announced its self-driving car trials in 2010, progress in this field has accelerated rapidly.

B. There are several reasons why technology is advancing so quickly in this area. One commonly cited reason is safety. Research conducted by the UK's Transport Research Laboratory has shown that over 90 percent of road collisions involve human error, with human error being the primary cause in the majority of cases. Automation has the potential to reduce the occurrence of such accidents. Another aim is to free up the time people spend driving for other purposes. If the vehicle can handle some or all of the driving, individuals can be productive, socialize, or simply relax while the automation systems ensure safe control of the vehicle. Additionally, automation can provide greater travel autonomy for individuals who face challenges with existing mobility options, such as older or disabled travelers.

C. Beyond these direct benefits, we must consider the broader implications for transportation and society, as well as the potential impact on manufacturing processes. Currently, the average car spends more than 90 percent of its life parked. Automation opens up possibilities for car-sharing initiatives, particularly in urban areas with high travel demand. If a significant portion of the population chooses to use shared automated vehicles, the demand for mobility can be met with far fewer vehicles.

D. The Massachusetts Institute of Technology conducted a study on automated mobility in Singapore and found that less than 30 percent of the current vehicle fleet would be needed if fully automated car sharing were implemented. This suggests that we may need to manufacture significantly fewer vehicles to meet demand. However, the number of trips taken would likely increase, partly due to the need to move empty vehicles from one customer to the next. Modeling work by the University of Michigan Transportation Research Institute indicates that automated vehicles could reduce vehicle ownership by 43 percent, but average annual mileage would double. As a result, vehicles would be used more intensively and may need to be replaced more frequently. This faster turnover rate could impact vehicle production.

E. Automation may also lead to other changes in vehicle manufacturing. If we transition to a model where consumers no longer own a single vehicle but instead purchase access to a range of vehicles through a mobility provider, drivers would have the freedom to select a vehicle that best suits their needs for a specific journey, rather than compromising on all their requirements. Since most cars have unoccupied seats for the majority of the time, this shift could increase the production of smaller, more efficient vehicles tailored to individual needs. Specialized vehicles could be available for exceptional journeys, such as family camping trips or helping someone move to university.

F. There are several hurdles to overcome in bringing automated vehicles to our roads. These include technical challenges in ensuring the vehicle functions reliably in various traffic, weather, and road conditions, regulatory challenges in determining liability and enforcement when drivers are no longer essential for vehicle operation, and societal changes that may be necessary for communities to trust and accept automated vehicles as valuable components of the mobility landscape.

G. It is evident that there are numerous challenges to address, but through robust and targeted research, it is likely that these challenges can be overcome within the next 10 years. Mobility will undergo potentially significant changes, in conjunction with other technological advancements such as telepresence and virtual reality. Making concrete predictions about the future is difficult, but one thing is certain: change is imminent, and the ability to adapt will be crucial for those involved in manufacturing the vehicles that will shape future mobility.

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Similar Questions

The automotive sector is well usedto adapting to automation in manufacturing. The implementation of robotic carmanufacture from the 1970s onwards led to significant cost savings andimprovements in the reliability and flexibility of vehicle mass production. Anew challenge to vehicle production is now on the horizon and, again, it comesfrom automation. However, this time it is not to do with the manufacturingprocess, but with the vehicles themselves.Research projects on vehicleautomation are not new. Vehicles with limited self-driving capabilities havebeen around for more than 50 years, resulting in significant contributionstowards driver assistance systems. But since Google announced in 2010 that ithad been trialling self-driving cars on the streets of California, progress inthis field has quickly gathered pace.QuestionWhat distinguishes the current challenge in the automotive sector fromthe previous adaptations to automation?Answer areaThe implementation of robotic car manufacture.The introduction of self-driving vehicles.The reliance on driver assistance systems.The cost savings in vehicle mass production.

Highlights•The paper reviews recent studies on the effects of automated vehicles on the physical road environment.•Thirteen key topics regarding the effects of AVs have been identified.•Predicted required changes and challenges related to road infrastructure are presented.•Recommendations for future research directions are outlined.AbstractAutomated vehicles (AVs) have received intense attention in academia and industry around the world in recent years, but the imminent introduction of AVs brings new challenges and opportunities for transportation networks and built environments. It is important to understand the potential infrastructure-related requirements of AVs and their impact on road infrastructure in order to assess the readiness of the existing road network and prepare plans for future roads. This paper seeks to address what the implications of automated vehicles will likely be for the road infrastructure based on a comprehensive literature review. To investigate this issue, two broad questions were framed: What are the potential effects of AVs on physical road infrastructure; and What do AVs require from road infrastructure for safe driving. A total of thirteen key topics around infrastructure have been identified from the existing literature regarding vehicle automation that needs to be considered during either the initial phase of deployment or transition to full automation. In the light of the identified topics, the paper presents potential changes and challenges, making recommendations for future research directions to ensure a safe and efficient operation.

WHY AUTOMATION?

Beyond these direct benefits, wecan consider the wider implications for transport and society, and howmanufacturing processes might need to respond as a result. At present, theaverage car spends more than 90 percent of its life parked. Automation meansthat initiatives for car-sharing become much more viable, particularly in urbanareas with significant travel demand. If a significant proportion of thepopulation choose to use shared automated vehicles, mobility demand can be metby far fewer vehicles.The Massachusetts Institute ofTechnology investigated automated mobility in Singapore, finding that fewerthan 30 percent of the vehicles currently used would be required if fullyautomated car sharing could be implemented. If this is the case, it might meanthat we need to manufacture far fewer vehicles to meet demand. However, thenumber of trips being taken would probably increase, partly because emptyvehicles would have to be moved from one customer to the next.QuestionWhat potential challenge is mentioned regarding the increased use ofshared automated vehicles in urban areas?Answer areaLimited travel demand.Difficulty in implementing automated systems.Increased manufacturing costs.The need to move empty vehicles between customers.

Which of the following Artificial Intelligence (AI) concepts includes self-driving cars?answerGamingRoboticsExpert systemsNeural networks

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