Background: This paper introduces an enhanced multi-period p-mobile hub location model that accounts for critical factors such as service time, flow processing delays, and congestion impacts at capacity-constrained hubs. As (urban) transportation networks evolve, mobile hubs play an increasingly...

Predicting freeway traffic states is, so far, based on predicting speeds or traffic volumes with various methodological approaches ranging from statistical modeling to deep learning. Traffic on freeways, however, follows specific patterns in space-time, such as stop-and-go waves or mega jams....

How do social changes, new technologies or new management trends affect communication work? A team of researchers at Leipzig University and the University of Duisburg-Essen (Germany) observed new developments in related disciplines. As a result, the five most important trends for corporate...

Increasing peaks from high-power loads such as EVs and heat pumps lead to congestion of electric distribution grids. The inherent flexibility of these loads could be used to resolve congestion. Possible options for this are smart network tariffs, market-based approaches and direct control of...

I study the effects of London England’s Congestion Charge on regional traffic, commuting, and economic activity’s spatial distribution. In 2003, London began tolling drivers to enter its central business district on workdays and this policy immediately reduced downtown traffic. I measure...