Monthly Archives: April 2018
Monthly Archives: April 2018
Below I have outlined some of the challenges and ethical questions that need addressed before we reach the goal of a car that is 100% driver-less ( no pedals and no steering wheel!).
Why should fleet managers be concerned with advances in driver-less technologies? Because these advances will drastically reduce the number of car accidents and this should lower the cost of multi car insurance.
The race to create a vehicle that reaches level 6 on the scale of the the Society of Automotive Engineer, which translates to a fully autonomous vehicle or in plain English a vehicle that does not need human intervention. Level 1 is car with no automation built into the 3 key driving elements (steering, braking and the gas pedal).
Currently in the USA and I am sure these figures will be similar in the UK 94% of accidents are the result of driver error. 3 million plus people have vision problems that prevent them from driving and let’s not forget senior citizens who are no longer able to drive. The journey to fully automated driving will drastically reduce road accidents and give the right of mobility to many more people in out society.
This is being debated, but in the meantime we have to answer some ethical questions. One of these questions is referred to as the trolley scenario.In this case you have a trolley moving down a rail line and in front five people are in its path. The trolley can only take one action to avoid killing the 5 people and that is by switching track, but one child is on the other track. Can you see the dilemma?
Can you see the dilemma given the knowledge that these cars rely on deep learning which is a form of artificial intelligence to make decisions. The artificial intelligence is a form of deep learning in which neural networks are trained by human engineers or programmers to take the appropriate action when driving autonomously.
So one of the ethical question is what do you train the AI to do? In addition should we allow these types of death and life decisions to be made by an artificial intelligence? Do we give equal weight to human life or should other factors be considered such as age? Should you the driver be killed in taking the necessary preventive action to minimize the outcome of an auto accident by artificial intelligence?
If level 6 is too much to contemplate lets consider levels 4 and 5. These cars are fully automated to drive in any weather condition, but will alert the driver when an accident that is unavoidable will occur and let the driver take the appropriate action so an artificial intelligence is not responsible for killing humans.
In the recent TESLA fatal accident the cars was operating at level 4 and it would have notified the driver by noise and if necessary touch that it needed human intervention. The accident is still being investigated as to why the standby driver did not take action. These cars rely heavily on artificial vision by using radar, cameras and LiDar in combination to create a 3D map of the driving environment. One theory is that one of these sensors malfunctioned which may have been caused by something as simple as dirt on the lenses.
Without doubt cars will continue to get safer as these new technologies are applied to new cars. Limits on driving hours will most likely be removed or increased as driver tiredness will be less of a factor in accident cause. The big question for fleet managers is will their fleet insurance costs be reduced? Possibly you would think, but would any decrease in insurance costs may be offset by the increased cost of vehicles with this new technology. LiDar is not cheap.
In my view long term these costs will come down like any new technology and we will all benefit by drastic reductions in road accidents which will reduce fleet insurance costs.
Article contributed by Eamonn Turley
All our intelligence suggests that monitoring by telematics is increasingly accepted . . . as a fact of life and the benefits more fully understood,
Ralph Morton, editorial director of Business Car Manager
This information can also be used to plan quicker routes this coupled with safer slow driving will also reduce fleet fuel costs, which by itself is a significant running cost.
This type of data enables the fleet manager to identify areas in which driving can be improved and enacting that by provision of additional training. To help get your drivers on board involve them, for example awarding prizes for best drivers, or create driving teams that compete against each other. In some cases this approach has made a significant reduction in claims. This not only reduces your company insurance costs, but also will decrease the time vehicles are off the road for accident repair.
Being able to substantially reduce the number of claims made against you fleet insurance policy puts you in a strong position at renewal time. This position can be used as leverage to negotiate a reduction in your fleet costs. Why? Your insurance premium cost is partly based on the number of claims that you make.