Peak Oil + Autonomous Cars = Traffic Nightmare

How you’re going to feel once peak oil and automated cars make traffic a nightmare


Autonomous Cars
For a number of years now, high-end luxury cars have had autonomous cruise control systems that use lasers or radar to maintain a set distance to the car ahead. Earlier this month Tesla rolled out an autonomous driving mode in its electric cars that takes this a step further. Teslas will now drive themselves on a freeway, accelerate and decelerate on their own and maintain a set distance to the car in front. However, unlike other cars with autonomous cruse control, they will now also change lanes – if you click the turn signal the car will automatically check your blind spot and execute a lane change. This is just one more step toward a fully autonomous car that consumers can buy.

Some of the world’s largest tech companies are working on autonomous vehicles. Google has driven their autonomous prototype cars over a million miles, which have been completely accident-free, except for other human drivers crashing into them. Apple has also been hard at work on an autonomous, possibly electric, car of their own. In all, over 25 companies are currently developing autonomous cars.

Most industry experts believe that fully autonomous cars will be mainstream in just 5 years. Others predict that in 20 years most cars won’t have a steering wheel or pedals and in 25 years most people won’t need a drivers license.

Speed Records
Recently Alex Roy teamed up with Carl Reese and Deena Mastracci to complete a cross-country speed record in a Tesla with the new autonomous control upgrade. Roy is best known for breaking the Cannonball Run record by driving across the United States in 32 hours and 7 minutes in a BMW M5. (This record was most recently bested by Ed Bolian in 28 hours 7 minutes with a Mercedes CL55 AMG.) Reese and Mastracci are known for previously driving the Cannonball Run route in an electric car in just 58 Hours and 55 Minutes. Using Tesla’s new autonomous mode, the trio completed the route in 57 hours, 48 minutes – over an hour faster than their previous electric car record, but still about 30 hours slower than the petroleum-powered record. For reasons I will describe below, Bolian’s record may stand for eternity as the fastest transcontinental automobile crossing. In the future, traffic may simply become so bad that no one will be able to achieve such a feat again.

The Promise of Autonomous Cars Ending Traffic
Cornucopian futurists have suggested that increased adoption of autonomous cars could bring an end to our traffic congestion woes. One MIT researcher thinks they could reduce traffic by 80%. The Brookings Institute says that autonomous cars will “reduce much of the congestion and delays that make road travel so onerous.” They could even eliminate traffic in Los Angeles – arguably the world’s most car dependent city. It will be “An End to Traffic Jams Forever!”

The idea is that unlike human drivers, autonomous cars have perfect reaction times. They can follow the car in front of them with very little braking distance, matching speeds perfectly. If a group of autonomous cars gets together on the freeway they could form a “train” – all traveling in unison just inches from each other’s bumpers. It has been theorized that having just a few autonomous cars on the road could greatly reduce traffic congestion for everyone else.

The appeal of this is obvious. The average suburbanite is desperate for any news that allows them to think they can continue their “suburban, car-dependent, happy motoring living arrangement.” Driverless cars seem to offer the ability to continue living in a quiet suburban cul-de-sac miles from the nearest workplace or shop. You’d simply sit back, play around on your phone and let your robot car whisk you away to your destination dozens of miles away. “Super-commuters” (those who commute more than 50 miles to work) wouldn’t need to change a thing – they could just catch up on some shut-eye while their robot car drives them to and from work.

Peak Oil and Climate Change Legislation
Peak Oil is the point at which global oil production reaches a maximum rate and begins a permanent decline. Oil is a finite resource, so peak oil will happen – it’s just a mathematical fact. The controversy around peak oil isn’t about whether it will happen, but when, why and how it will happen: Is it happening now? Will it happen because oil gets too expensive to produce, restricting supply? Will it happen because oil gets too expensive to consume, restricting demand? How quickly will production decline after the peak? Will substitute forms of energy and transportation technologies offset the decline? No one can definitively answer any of these questions, but we do know that at some point in the future we will be faced with declining levels of global oil production. One possible outcome of peak oil is that we won’t have sufficient economic substitutes for oil and the price of oil rises significantly. Perhaps electric car production is limited by the high cost of extracting lithium for the batteries (especially since mining requires so much oil). Perhaps NIMBYism prevents us from increasing the walkabillity of our neighborhoods through the construction of public transportation routes and higher-density mixed-use buildings. In any case, in this scenario people would be stuck relying on their car, but oil prices would incentivize them to use as little fuel as possible.

Another source of higher energy prices is a potential global climate change agreement. Already 114 nations have signed the Copenhagen Accord, which states that the parties agree to limit global warming to 2 degrees Celsius above pre-industrial levels. The European Union has enacted climate change legislation. So have Japan, South Korea, Mexico, 7 Chinese provinces and 2 Canadian provinces. So has California, with “fuels under the cap” enacted on Jan 1st 2015 (but nobody noticed because crude oil prices were falling at the same time carbon prices were rising). In all over 800 climate change laws have been enacted in 99 countries around the world – it is inevitable that an international agreement will homogenize these laws. If all of the existing fossil fuel reserves that are on the books of the world’s oil, gas and coal companies were burned, it would generate more than 2.8 trillion tons of CO2 – well in excess of the 1 trillion ton “budget” that almost every country has agreed to. In order to keep that excess 1.8 trillion tons of carbon in the ground, a global climate change agreement would need to raise the cost of emitting carbon to a point where more than half of the remaining reserves are never burned. This could be accomplished through a global carbon tax or a global cap and trade program, but the result would be the same – far higher prices for gasoline at the pump. If a global climate change agreement  is reached, the average motorist will see rising fuel prices and will be incentivized to use as little fuel as possible.

The Eco Button
Many cars on the road today already have an “eco” button on the dash. The button doesn’t do very much today – it typically changes the throttle response, adjust the climate control and changes the fuel mapping a bit. In the future of automated cars, however, the “eco” button could do far more – it could pick the most efficient route to the destination (with the fewest hills and stops), it could drive at an optimal speed, and it could accelerate and decelerate at the optimal rates. Today the “eco” button gives drivers about 5-10% better fuel economy. In the future, self-driving cars could easily double your fuel economy at the simple push of an “eco” button. People today are used to hitting the “eco” button when they want to save a bit of fuel. In the future, if fuel prices are far higher and self-driving cars allow a far more impressive fuel economy improvement in “eco mode,” it seems obvious that more and more people will be pushing the “eco” button.

Hypermiling
As gasoline prices have gotten higher over the past two decades a group of fuel maximizing techniques know as “hypermiling” have become more popular. This can involve physically modifying a car by eliminating weight and improving aerodynamics. More commonly hypermiling is accomplished through driving techniques like optimal speed management and acceleration modulation to keep the internal combustion engine at optimal stoichiometric efficiency. Colloquially this is known as “driving like a grandma.”

Today hypermilers are able to achieve some amazing feats of fuel efficiency. Hypermilers are routinely able to get double the “sticker” fuel economy of average cars. For example, hypermilers can get 127 MPG out of a Toyota Prius, which is rated by the EPA for 60 MPG. They can get 62 MPG out of a Toyota Corolla, a car rated for 35 MPG. Even with the king of fuel inefficiency, the Hummer, hypermilers are able to get 22 MPG in a truck that normally gets 10 MPG.

Pulse and Glide Driving and the Accordion Effect
Internal combustion engines are most efficient when they are under full load at low to medium RPMs. This means when you are driving up a hill you will consume less fuel to maintain the same speed if you use full throttle in a higher gear (at a lower RPM) than if you downshifted and used less throttle at higher a RPM. This becomes evident when one looks at the brake specific fuel consumption (BSFC) efficiency contour chart for a typical internal combustion engine:

A brake specific fuel consumption efficiency contour chart

A brake specific fuel consumption efficiency contour chart

Most internal combustion engine cars these days use electronic fuel injection; This allows the engine to consume zero fuel when you completely let off the throttle and coast. When driving on level ground this means the most efficient way to drive is to “pump” the throttle by accelerating at full throttle from 1500 to 2500 RPM and then coasting back down to 1500 RPM with no throttle. Hypermilers call this the “pulse and glide” technique. Unfortunately, as anyone whose been in a taxi recently can attest, this “throttle pumping” accelerator modulation is also the best way to make passengers carsick.

Besides making passengers carsick, the pulse and glide fuel saving technique also contributes to traffic through the “accordion effect.” When traffic is dense and a road is close to reaching its maximum capacity a single speed different can ripple through the crowd, causing stop-and-go traffic to pile up. This speed disruption can be as simple as someone looking down to check their phone; when they look back up the may realize they are following too closely and brake; the cars behind them see brake lights and they brake as well out of an abundance at caution; a mile back this ripple of brake lights brings traffic to a complete halt.

In the future, autonomous cars may be programmed to pulse and glide their accelerators to maximize fuel economy. As the autonomous cars coast down in speed, human drivers behind them will hit the brakes, causing stop-and-go traffic.

Speed Limits and Speed Minimums
If you asked the average person driving down the freeway to tell you the speed limit, chances are they would have a good idea. But if you asked the same people to tell you the minimum speed, I bet most would have a hard time coming up with it. In California most suburban freeways have a 70 mph speed limit and a 45 mph speed minimum. In reality this means that in the absence of traffic people in the left lane are driving 80 mph while people in the right lane are driving 65 mph. Anyone driving the speed minimum of 45 mph would be traveling at a 35 mph difference to other people on the road. Imagine standing on the side of a road and watching a car pass you at 35 mph – that’s a significant speed difference. Differences in speed cause traffic to pile up – as human drivers come up on an autonomous vehicle traveling significantly slower than they are the human drivers will hit their brakes which will cause everyone further back to hit their brakes, which will lead to the “accordion effect” of stop-and-go traffic.

Most internal combustion cars have an optimal speed for fuel efficiency. Drive any slower and mechanical drag wastes fuel; drive any faster and aerodynamic drag wastes fuel. Empirical data shows that the optimal speed for internal combustion cars ranges between 40 and 70 MPH, with most cars reaching optimal speed around 50 MPH. This optimal speed is coincidentally near the speed minimum of most freeways. If automated cars are put into “maximum economy mode” it is likely that the computer will poll its database for the minimum speed it can drive on any particular freeway and accelerate up to just that speed. Any police officer that pulled over an owner of an automated car driving the speed minimum would have hard time in court fighting a perfect computerized output of GPS coded data proving the car was following the letter of the law.

What this means in practice is that either politicians will have to raise the speed minimums of freeways or that we will have to live with traffic congestion caused by automated cars driving the minimum highway speed. My money says that very few politicians will want to go to bat for increased speed minimums.

Crumbling roads could be another consequence of peak oil. Roads are made of asphalt, which is the lowest-value “cut” of an oil refinery. When global oil production peaks, if demand for fuels remains robust, refineries will get far higher profit margins from “upgrading” asphalt to diesel fuel using specialized “residual upgrader” units. This will mean that asphalt prices will rise. Roads are currently built with gasoline taxes. As gasoline prices rise, people will drive fewer miles and drive more fuel efficient cars; both actions will reduce overall fuel consumption, lowering the amount of taxes governments receive. With rising asphalt prices and less money to pay for the asphalt, city and state governments won’t be able to maintain the roads. Many governments will allow rural roads to return to gravel. We are seeing this already, with hundreds of miles of roads being returned to gravel every year – meet “peak road.” In the future automated cars will be able to read the quality of the road in front of them and adjust their driving to improve comfort and reduce wear-and-tear on the car. Imagine an automated car using its lasers to detect a pothole coming up and slowing the car down to minimize the bump. As these “protective driving” features become more widespread in cars while the roads deteriorate due to peak oil, general travel speed will slow down.

Electric cars and “Range Maximization”
In a post-peak oil future with global climate change legislation, carbon-based fuels may be more expensive, but electrons may not. If an electric car owner charges their car with electrons from solar panels on their home’s roof, they may not care as much about the cost of the electrons. But unless there is a major breakthrough in the energy density of electric car batteries, owners of electric cars will still have a major incentive to drive in a way that maximized the range of their vehicles. Importantly, the techniques used to maximize fuel economy in an internal combustion car are very similar to the techniques used to maximize the range in an electric car.

Just as internal combustion cars have an optimal speed for minimizing fuel economy, so too do electric cars have an optimal speed for maximizing range. Worryingly, the optimal speed for achieving maximum range in electric vehicles is far slower than the optimal speed for achieving maximum fuel economy in gasoline cars. According to Tesla, the range-maximizing speed for their Model S sedan is just 25 miles per hour! The current world electric car range record was set in a Tesla P85D. The drivers achieved 452.8 miles of range on a single charge by driving an average speed of 24.2 mph. If drivers push the “eco” button in an automated electric car like a Tesla, it is possible that the software would choose a route that allows it to maintain an average speed of 25 MPH. This would necessitate the car to avoid highways and use roads with lower speed limits. Most city streets, however, have speed limits of 35 MPH. Rural roads often have speed limits of 45 MPH. On many of these roads people are used to driving 5 to 10 MPH over the posted speed limit. A hypermiling automated electric car could easily be driving at 20 or 30 MPH below the average traffic speed. On a two-lane road, where it is difficult to pass, traffic would quickly back up behind such a slow car.

Tesla Range vs Speed Chart

Tesla Range vs Speed Chart

The other main difference between electric cars and internal combustion cars is the acceleration efficiency. While internal combustion cars are most fuel efficient when accelerating at full throttle, electric cars are most energy efficient when accelerating very slowly. When trying to optimize the energy efficiency (and maximize the range) of an electric car, the best technique is to accelerate slowly (like there is an egg beneath the accelerator pedal) and to decelerate slowly by leaving plenty of stopping distance and letting the motor’s regenerative braking bring you to a halt. In fact, a driver who is truly optimizing the efficiency of their electric car would almost never need to use the brake pedal. In city driving this may cause traffic to pile up at stoplights – while normal traffic may allow 50 cars to get through a green light, a few “eco mode” electric cars accelerating extremely slowly may only allow 10 cars to get through the a green light. Needless to say, this form of driving – with extremely slow acceleration and leaving many car lengths of following distance to allow for slow deceleration by the regenerative brakes – can easily case traffic to pile up.

Due to the low energy density of current electric car batteries, the easiest way to maximize the range of the car is to add as many batteries as possible to the car. Unfortunately adding more batteries adds more mass. As race car teams know very well, added mass is multiplicative – it snowballs. When you add an extra thousand pounds of batteries, you need to add an extra hundred pounds to the chassis to support the batteries; a heavier chassis requires beefier suspension arms, wheels and tires; a larger overall mass requires bigger breaks to stop, which further increases the mass of the wheels, tires and suspension; and on and on. Once the car has been designed with all of the safety and comfort requirements plus the structure to hold such a large amount of batteries it can tip the scales at astronomical values. The curb weight for the new Tesla Model X SUV, for example, is 5441 lbs – that is 741 lbs heaver than the Hummer H3! What’s worse, every pound added to the car increases the amount of raw materials needed to build and increases the complexity of assembling the car; thus the current top-of-the-line Tesla costs 78% of the median home price in the United States.

Self-driving cars offer an alternative way for electric cars to have long range without breaking the bank. Instead of loading up a car with more and more batteries, a self-driving car could have fewer batteries but be able to achieve an impressive range when put in “range maximization mode.” The average American drives 37 miles per day. Currently the cheapest electric car on the market is the Mitsubishi i-MiEV, which has a 62 miles range and costs just $15,495 after rebates. Amazingly that’s just $500 more expensive than the cheapest internal combustion engine car for sale today (the Chevy Sonic). 62 miles of range is almost 70% more than the average person drives in a day. In the near future, automated car technology could become so inexpensive that even a car like the i-MiEV could become totally driverless.

Volkswagen recently got in trouble for cheating on emissions testing by designing the software of their vehicles to adjust the fuel mapping to lower emissions when the vehicle sensed it was being tested on a dyno. In much the same way, it is plausible that in the future electric car companies could design their software to maximize the range of their vehicles when they sensed they were being tested. An inexpensive electric car like the i-MiEV may be able to achieve over 100 miles of range by accelerating and decelerating slowly and capping its top speed. The car may simply engage its “eco” mode when it senses it is being tested. But of course “your mileage may vary.” In the real world, ranges would be far less – but as long as the range under normal driving conditions remained above the daily driving needs of the average American, most people wouldn’t complain. For longer trips, drivers could put it in self-driving “eco mode” and just sit back and read a book while the car putters along at 25 MPH with dozens of cars piled up in traffic behind them.

Traffic Today, Traffic Tomorrow
Too many Americans drive too much every day. Many “super commuters” travel over 50 miles each way to their jobs every day day. Heading out of their suburban and exurban homes they must contend with drowsy drivers, drunk drivers, distracted drivers texting away, and, increasingly, horrendous traffic jams. Urban sprawl has pushed people from the suburbs into the exurbs. In many places around the world individual cities have sprawled so far that they have begun to merge into megalopolises.

Autonomous cars seem to offer the perfect solution to our driving problems. Robots have perfect reaction times – no more “accordion effect” of stop-and-go freeway jams caused by drivers slamming on their brakes. Robots never get distracted – no more accidents from texting while driving; no more idiots driving too slowly and swerving out fo their lane because they’re not paying attention.

Unfortunately, the promise of a traffic-free future is a probably a mirage. Peak oil and global climate change legislation will raise the price of transportation fuels. Barring a major breakthrough, affordable electric cars will only be able to achieve long ranges through economical driving. As more and more people hit the “eco” button on their autonomous cars, roads will become increasingly jammed up by robotic cars driving like grandpa on his way home from the blue plate special. As the cost of living in walkable neighborhoods continues to rise more people may consider moving to car-dependent suburbs. Autonomous cars may make suburban commutes look attractive, but reality will be different. As autonomous car software allows more people to hypermile their cars at the push of a button, suburban commutes could become unbearable. Rather than heading towards a traffic-free future we may be headed towards a traffic jam nightmare.

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Will Martin is an energy analyst and expert on peak oil and alternative currencies. He is an MBA graduate of Cornell University, where he was a Roy H. Park Leadership Fellow and concentrated on studying sustainability in business through the school’s Center for Sustainable Global Enterprise. Prior to his MBA, Will worked in the energy industry, living in Singapore, Houston and Dubai. Will is a recipient of the 2012 “Pioneer Award” from the Association for the Study of Peak Oil and Gas (ASPO-USA). He currently works as a carbon trading commercial adviser in the San Francisco Bay Area. Will is a bitcoin enthusiast and in 2014 published the book “Anonymous Cryptocurrencies,” which became a #1 best seller in 3 Amazon categories and was the first book to be sold on a decentralized marketplace.

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