Author | Marcos Martínez
Autonomous mobility presents notable advantages compared to manual driving. It will be more efficient calculating both the best route and the range of speeds, but also safer, given that, thanks to Car 2 Car communications, part of the Internet of Things, the information collected by a car will reach the community to perfect its performance. However, this type of system is a far cry from being the panacea to urban and peri-urban mobility proclaimed by its developers. In fact, however efficient they may be, autonomous vehicles will not resolve the problem of traffic jams.
Understanding how traffic jams happen
Although all traffic jams consist of vehicles backing up to a standstill, not all traffic jams have the same origin. We can define two different types:
- Bottleneck traffic jam. An excessive number of vehicles try to access a much narrower road than the current one. For example, going from a 3-lane motorway to one with two lanes.
- The phantom traffic jam. Curiously, this does not require a bottleneck or high density traffic. It occurs when a vehicle gets so close to the one in front of it that it has to brake suddenly, transferring that same effect on to the vehicles behind.
The avoidable phantom traffic jam
In 2008, the researcher Yuki Sugiyama illustrated that this type of traffic jam by using dozens of cars in a closed circuit. His experiment “bottleneck traffic jam”, blames an impatient driver for the jam. Is there a solution?
Yes, and it stems from keeping a safe distance. If you can’t, another way of preventing it would be to position the vehicle we are driving halfway between the car in front and the one behind. In 2016, William Beatty, with the help of the Wall Street Journal, illustrated how a single driver, following these rules, could prevent the formation of traffic jams.
Years later (2018), a team of researchers headed by Raphael E. Stern proved that a single autonomous vehicle would have a positive effect and would prevent phantom traffic jams, as predicted a little earlier, in 2016. The evidence is very visual.
The bottleneck effect cannot be avoided
On the other hand, we have the bottleneck effect generated because of too many vehicles trying to access a road, which they don’t fit on at a moderate speed. It is true that autonomous solutions such as those illustrated above would help with traffic issues, and also autonomous carsharing vehicles with a higher occupancy would prevent between 50% and 75% of vehicles. But, even so, there would be traffic jams. Why?
We have viewed bottleneck traffic jams as a balance of drivers prepared to wait in a holdup. If a lane was added, there would not be many jams for weeks. This has been the strategy in many cities. However, this situation would soon be inverted.
New drivers that used to use public transport, seeing that it doesn’t take long by car, decide to drive. Despite the additional lane, their gradual arrival soon leads to traffic jams like those seen before, dissuading future drivers from doing the same thing.
The same happens if a lane is removed: for weeks there will be monumental traffic jams, but gradually many drivers will choose public transport until an equilibrium is reached. The result is the Nash Equilibrium, which claims that everyone will do what best suits them.
Is there a solution for traffic jams?
Unfortunately, the answer to that question is categorically no. Roads such as the Katy Freeway (USA) have proved that its 26 lanes do not solve the traffic problem: if more lanes are added, more drivers will arrive. But, if they are eliminated, people will start to use public transport.
Images | iStock/Olga Kurbatova