Investigation of the effect of Autonomous Vehicles on the capacity of an urban transport network
summary
Case study uses maxim for the population and sumo for microscopic observation, running about 200,000 simulations across the Düsseldorf area (1,637 signalized intersections). AVs are parameterized with 1.5 s headway, 3 m/s² max deceleration and sigma 0.1; detectors extract maximum outflow per connection. Typical peak outflows sit around 1,000–1,200 vehicles/hour with extremes over 1,600; results show capacity falls as AV share increases under these conservative settings, with over 10% difference between 0% and 100% AV.
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