Cities are not ready (yet) for self-driving cars: these are the key aspects holding them back
This article is also available here in Spanish.

Cities are not ready (yet) for self-driving cars: these are the key aspects holding them back

My list

Author | Jaime Ramos

We will still have to wait for the great dream of driverless cars. Although manufacturers continue to present new models of driverless cars each year, self-driving cars still have a long way to go. What are the main obstacles and challenges?

Are there any self-driving cars on the road yet?

Yes, there are. However, they are still in the experimental phase sine die. Programs to promote self-driving cars have increased exponentially in recent years. These can be seen in dozens of countries.

The Waymo self-driving car, for example, has covered countless kilometers with the Google logo on its white bodywork. The models have covered over 20 billion kilometers to date, improving the intelligence required to fulfil the ambitious promise of eliminating road fatalities.

This is a long-distance race that manufacturers such as Volvo believe to be leading, but with deadlines that will be difficult to meet.

So, when will they be available?

autonomous-driving-27

The vast number of kilometers and tests conducted by self-driving vehicles does not mean they will be available on the market imminently. It is difficult to establish a specific date. What does seem clear is that, little by little, they will become more popular on roads and in delimited territories. This is the case of the Baidu and BAIC partnership, which plans to have 1,000 driverless cabs on the road in China in the next three years.

In order to be considered fully autonomous, self-driving cars must complete the six levels required to qualify as such. A process which, as we will see, is full of obstacles.

Why aren’t cities ready for self-driving cars?

The challenges that fully automated cars need to overcome are not just related to the level of maturity of their technology, they also need to tackle legal and, even, social challenges.

Mapping of the road network

Popular robot vacuum cleaners use intensive mapping technology in the area they are cleaning to identify where they are located. This simple comparison becomes extremely complex for self-driving cars.

It requires developments in, at least, three areas: refining sensors, automated machine learning and strengthening safety guarantees on open roads.

Self-driving cars have to learn

autonomous-driving-28

Self-driving cars not only need to learn the best routes. The cars also have to adapt to human behavior on the road, anticipate a whole host of responses in pursuit of safety and they also need to know how to communicate with humans.

These are three difficult tasks. Edwin Olson from the University of Michigan and a subject-matter expert, believes that there is still a long way to go before self-driving cars reach a sufficient degree of reliability:

"Humans are not perfect, but if we analyze the situation, we are good drivers, with one death every 161 million kilometers travelled"

A clear and flexible regulatory framework

Legislation tends to lag behind technology. In terms of self-driving cars, it is light years away. Jurists cannot agree with technicians on what the framework should include.

An example contradicting this can be found in Florida, United States. The state passed a bill in 2019 legalizing the use of self-driving cars. The most recent regulatory publication in this area came as a great innovation last summer.

But above these three areas is the social acceptance aspect. While we accept that errare humanum est, machines are not granted this same privilege. That is why, it will still be a while before self-driving cars gain the trust that is shattered each time there is an accident involving both parties.

Images | iStock/Irik Bikmukhametov, NHTS, iStock/Sundry Photography

Related Content

Recommended profiles for you

CG
Carlos Godoy
Corporacion Regional de Santiago
Periodista
JJ
Juan carlos piñan poma Juan carlos
Independent
Public institute
JH
Jørgen G Hopland
Stavanger Municipality
Advisor on mobility, data, and technology, with an academic background in sociology and STS
AH
Angie Huamalí
UTEC
UTEC is a university for engineers
AG
Alexander Gutzmer
Euroboden
Director Communication and Marketing
AA
Andhika Ajie
Regional Planning Agency of Jakarta City
Head of Annual City Planning Department
AM
Artur Mausbach
Royal College of Art
Senior Research Fellow. Automotive Transitions Studio Leader
SH
Sheeba Hasnain
SRTA
Head of IT Operations
SS
Szymon Szenicer
ENGIE Technika Instalacyjna Sp. z o.o.
Electromobility project manager
EW
ERIKA WILIAMS
Grupo GET
CMO
XA
Xabier Arruza
Bilbao Urban & Cities Design
Coordinator / Manager
PK
Pauline Klanke
Federal Ministry of the Interior
Intern
GC
Guillermo Campoamor
Meep
CEO
MC
Maurizio Colombo
CAF TURNKEY & ENGINEERING
Dependo del Director de la Unidad de Negocio de Energía
LV
Laura Vinagre Garcia
SEAT
Corporate Communications
MP
Martin Pečar
OmniOpti
Founder
AO
Aleksander Orlowski
Gdansk University of Technology
Professor
JM
JOSE MORETA
MDMQ
COORDINADOR TECNICO
DC
Dan Champoux
GEKOT Inc.
President
KH
Kleebinder Hans-Peter
Universität St. Gallen, ICI
Director of Studies #SMARTMobility #SMARTCities #SMARTData