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Smart Automotive

AS NEW technologies such as artificial intelligence (AI), robotics, and the internet of things (IoT) come of age, the automotive industry is expected to face severe disruption.

In the near future, given that people don’t want to be bogged down by vehicle ownership or maintenance, experts believe that vehicle production will split between mass-market, largely no-frills “cars on demand” that will be rented journey-by-journey and more customized vehicles for those who still want to drive, or be driven in, their own vehicle.

A high level of automation will be needed to produce both types of vehicles, and every process will be affected — in fact, the pressure on the workforce is expected to be severe.

According to a new report by PwC, the industry workforce will be cut by at least 50 percent by 2030, and employees who remain will need very different skills. Automakers must become data managers and mobility service providers as well as vehicle assemblers.

The think tank studied the technologies available and the shift in the personal mobility market and has made some key predictions for 2030:

1 | New workflows, processes, and operations

Standardized, shared vehicles — used simply to get from A to B — will account for at least 30 percent of the market in Europe, concentrated at the lower-price end. In the US and Asia, an even greater proportion is expected.

In fact, PwC expects that the time required between R&D and the point of production will shrink from the current three to five years down to two years,to keep pace with technological changes.

2 | Impact of new technologies on the workforce

The size of the workforce on assembly lines and in body and paint shops will be halved because of automation and the new types of vehicles being assembled.

The number of shop-floor logistics roles will be reduced by around 60 percent, partially because humans will be replaced by autonomously guided vehicles.

3 | New jobs and the need for new talent

The number of data engineers required will almost double in some types of plants, and increase by 80 percent in others, while the number of software engineers needed will rise by as much as 90 percent.

These new jobs will help the industry make better use of the technologies at their disposal, reducing labor costs, operating expenses, and other overheads — making sure they’re competitive in the digital age.

Four keys to developing the car of the future

IT IS amazing to think about how far transportation technology has come in just a short time.

Just 50 years ago, the Apollo Guidance Computer (AGC) aboard Apollo 11, the first spacecraft to land men on the moon, only had 16k of memory—less than most pocket calculators.

Today, autonomous vehicles are literally mobile supercomputers traveling down the road, capable of processing trillions of transactions per second.

These self-driving cars require highly-complex, data-driven systems such as steering, braking, and acceleration to communicate at breakneck speeds, playing off each other, adapting in real time to changing driving conditions while orchestrating a seamless and safe experience for passengers.

 

At the same time, thousands of vehicle sensors interact with other vehicles, traffic infrastructure, even the road itself—all in an effort to avoid hazards and map out the most optimal route.

Thinking back on the 16k computer that helped put men on the moon, it’s truly amazing how far we’ve come.

But we’re not there yet.

While autonomous vehicles are being field tested on roads around the world, we’re still at least a decade away from true ubiquity. And that’s the thing about autonomous driving.

It will only work if the majority of vehicles are autonomous capable. All it takes is for one manual driver to jerk the wheel, pump his brakes or idle in a designated loading zone to throw the whole system out of balance.

Adoption is going to have to be quick—virtually overnight—as large proportions of the driving public makes the switch to autonomous driving at the same time.

Making everything work together is going to require robust testing and reliable measurement as well as a lot of patience. Here are four keys to enabling the car of the future:

1 | Connectivity

There are a lot of moving parts of a car, and they all have to work together. Connections are both wired and wireless, and latency is absolutely critical. Just a mere 0.3 second delay in reaction time can result in an extra 20 feet of braking distance while traveling 50 miles per hour.

That could easily be the difference between stopping safely and plowing through traffic.

The networks that run the car of the future will need to be stress-tested extensively to ensure reliability and performance, and they will need to be monitored constantly for any hiccups or bottlenecks.

A delayed email or missed shopping transaction can be annoying and cost money, but network errors in an autonomous car could mean the loss of life.

It’s really rare that network performance has a life or death impact, but that is our reality with autonomous vehicles.

2 | Intelligence

The car of the future is also going to have to be smart. Autonomous driving systems need to know the difference between a bicycle and a motorcycle or road sign and a pedestrian.

They’ll also have to account for sensor interference resulting from foggy, rainy and wintery conditions as well as line of sight issues.

Autonomous vehicles are also going to have to learn on the job with machine learning, adapting to their environment and other vehicles throughout their lifecycle.

3 | Power

The car of the future is not going to rely on fossil fuels. Advanced battery technology will continue to be developed, providing clean, renewable and reliable power for autonomous vehicles.

Costs will drop—lithium ion batteries are expected to go below $100 per kWh in the next five years—and infrastructure to support battery technology such as charging and waste stations will proliferate.

New technology beyond lithium ion batteries are already being developed with lithium air and solid-state lithium ion batteries.

Again, testing is going to be key as they will need to be conducted in a safe, effective and efficient manner.

4 | Cybersecurity

Perhaps most important of all, the car of the future is going to have to be secure.

Unfortunately, even the most hardened computer networks are susceptible to cyberattacks, and there’s no reason to think that malicious actors won’t try to take control over vehicles from afar.

Operators are going to have to continuously monitor autonomous systems for vulnerabilities.

Instead of barricading the perimeter—which has been proven to be nearly impossible—autonomous vehicle operators are going to need to scrutinize the network for unexpected, abnormal behavior.

For example, network traffic flowing to an anonymous remote server will be a sure sign that something is up.

We’ve come a long way since a computer less powerful than a pocket calculator helped put men on the moon.

The car of the future is going to be extremely complex and data-driven—relying on powerful and highly-reliable interconnectivity between disparate systems.

They are going to run on clean, renewable fuel and they will need to be secure.

Ensuring all this will be manufacturers and operators ability to conduct robust testing and continuous monitoring.

Simply put, the networks that run autonomous vehicles will need to be the most reliable and secure in history. The car of the future is counting on it.