Queueing models for uninterrupted traffic flows

Due to increased ownership of cars, changes in the production system (where stock is on the road and not in the warehouse), increased flexibility of the working population, etc., the demand for transport has increased exponentially. On the other hand, the supply of means for transport (roads, public transport,...) does not follow this trend or with a serious lag in time. This combination of more and more traffic on the existing road network together with a stabilization in investments of new roads, results in an inevitable increase of congestion. Congestion leads to an increase in travel time, decreasing flow, higher fuel consumption, negative environmental effects, etc. Efficiently tuning demand and supply will lead to a better use of the capacity and a better control of traffic demand. This solution can be achieved by a temporarily and local intervention on supply and demand. However, quantifying the effects of such an intervention is not straightforward.