vienna-will-install-smart-traffic-lights-that-will-recognise-when-pedestrians-want-to-cross-the-street
This article is also available here in Spanish.

Vienna will install smart traffic lights that will recognise when pedestrians want to cross the street

My list

Author | Patricia M. Liceras“How long does it take to turn green!” Most of us have probably thought this countless of times when waiting at the traffic lights after pressing the bush button, but it doesn’t turn green for pedestrians. With the aim of cutting down waiting times and improving traffic flow, the Austrian city of Vienna will roll-out its smart traffic lights system at the end of 2020.These are innovative devices that are equipped with an in-built camera capable of detecting people within a field of eight by five metres of the traffic lights. Once they verify that the pedestrian wants to cross the street, the signal automatically changes to green without having to press any buttons.

Replacing the button system to cross streets

This is the solution chosen by the traffic authorities in the Austrian city to combat the limitations of the city’s 200 push-button traffic lights. This is because, on the one hand, not everyone is prepared to wait and some people just cross the street while the traffic lights are on red, with the risk involved in doing so. On the other hand, some people press the buttons just for fun, generating unnecessary retentions and causing anger among some drivers who have to stop even when nobody is crossing the street.“It requires one second to estimate the pedestrian’s intention to cross; after two seconds, the estimation becomes reliable”, explains Horst Possegger, head of the team of researchers at the Institute of Computer Graphics and Vision of the Graz University of Technology (Austria) and the system developer, in a press release.Possegger explained that the green phase of the traffic lights can be extended in the case of large groups of persons, who require more time to cross the street. “And if persons leave the waiting area before the lights have turned to green, the traffic lights subsequently don’t switch to green and there are no unnecessary waiting times for motorized traffic”, the researcher pointed out.

Learning algorithms

It has taken him and his team at the Institute of Computer Graphics and Vision two years of intensive research to develop the system. Not only because it required precise and efficient software, but also the hardware had to be the size of a powerful computer, yet small enough to fit into a small switch box. Furthermore, by using global movement models and recorded data, the research team developed learning algorithms, which recognise pedestrians’ intention to cross the street.In terms of the privacy of pedestrians, Possegger dispels any concerns. As he explains, although it is essential to capture images to detect pedestrians, including children and persons with umbrellas and buggies, the images are only analysed locally and do not leave the camera. The system functions exclusively with geometric information, from which it derives a possible intention to cross.The transfer of knowledge obtained from this development is being carried out by the company Günther Pichler GmbH, which will be responsible for installing these traffic lights at the end of 2020. First, they will be installed in selected locations to verify that they work correctly and then they will gradually replace push-button traffic lights that cause inconvenient waiting times for pedestrians and drivers in Vienna.Images | Günther Pichler GmbH, Jacek Dylag

Related content

Recommended profiles for you

EM
Eric Marotel
International advising & consulting
Partner
JA
javi alvarez
grup j muntaner
MANAGER DEPARTMENT IT
HD
Hiren Dhaduk
ez enRoute IT Solutions Pvt. Ltd.
Program Director
JL
Josep Laborda
FACTUAL CONSULTING SL
AA
Abdulla Ebrahim Al Ahmed
Etisalat
Senior Vice President Government Sales
PM
Pramod Meena
Student
Electrical Engineering
AG
ALEKSANDAR GJORGJIEV
municipality od Kavadarci
head of IT department
PM
Pedro Martín
Area Metropolitana de Barcelona
CG
Carlos Guerrero
BLOOCK
Chief Marketing and Commercial Officer
OL
Oswaldo Lechuga Baca
Prysm
VP of Iberia & Latam
RR
Roberto Rossi
Thales Italia spa
to develop domestic market and create innovation partnerships
HL
Harshita Lal
Deloitte India
Deloitte India
DK
Dejan Kovilovski
Alkaloid
DK
De Wever Kevin
SB
Slavomir Bolha
CANEX, spol. s r.o.
Sales Director
AP
Ayush Panchratan
DelusionAI
Co-founder
AA
Andrew Andreew
Smart home systems
JW
John Wells Wells
Wellscom
I am the head of the R&D&I Department. I also have a stake in the Company.
SS
Saubhagyajeet Sahoo
DRIEMS Group Of Institutuion
Student
MS
Minna Säpyskä-Aalto
The Baltic Institute of Finland
Senior Specialist in international funding and projects.

Are we building the cities we really need?

Explore Cartography of Our Urban Future —a bold rethink of ‘smart’ cities and what we must change by 2030.