During the COVID-19 pandemics, London saw
changes in traffic performance between 2019 and
2020. In collaboration with TU Munich, we examined a
high-resolution data set of more than 11’000 loop
detectors and thousands of traffic cameras covering a
period of 2 years.
This allowed us to control for the different changes in
the network and demand and discuss the traffic
performance in Greater London.
Our ongoing project with the city consists of an analysis
for construction sites in the North of the city. The city has
roughly 1500 loop detectors which offered high
resolution insights over a 4-year period.
We are now working on the real-time prediction of
congestion, so that our simulation truly transforms into
a digital twin.