header: tab: "Flow capacity" title: "Effect of AVs on flow capacity" description: > This dashboard shows the effect of conventional vehicles (CV), automated vehicles (AV) and highly autonomous vehicles (ACV) on flow capacity, i.e. the potential throughput of vehicles. We modeled the driving behaviour microscopically in SUMO and evaluated the resulting flow capacity for intersections and free flow sections in the study area. Three different scenarios with varying vehicle share and capabilities are presented and compared." layout: scenarios: - type: "text" title: "Near future scenario" width: 3 height: 2 props: file: flow/st.md - type: "text" title: "Medium-term future scenario" width: 3 height: 2 props: file: flow/mt.md - type: "text" title: "Distant future scenario" width: 3 height: 2 props: file: flow/lt.md videos: - type: "video" title: "Visualization" width: 2 props: controls: true allowfullscreen: true loop: true sources: video/webm: flow/st.webm - type: "video" title: "Visualization" width: 2 props: controls: true allowfullscreen: true loop: true sources: video/webm: flow/mt.webm - type: "video" title: "Visualization" width: 2 props: controls: true allowfullscreen: true loop: true sources: video/webm: flow/lt.webm flow1: - type: text title: "Flow capacity prognosis at intersections" props: file: flow/intersection.md flow: - type: vega title: "Flow capacity for AVs shares" description: "Shown is the maximum absolute flow capacity at free flowing traffic depending on the speed limit. AVs driving behaviour is the same as in the short term scenario." height: 7 props: config: flow/flow-av-vega.json - type: vega title: "Flow capacity for ACVs shares" description: "Shown is the maximum absolute flow capacity at free flowing traffic depending on the speed limit. ACV driving behaviour is the same as in the long term scenario." height: 7 props: config: flow/flow-acv-vega.json