Empirics of multimodal traffic networks - Using the 3D macroscopic fundamental diagram
Axhausen, Kay W.
- Working Paper
Rights / licenseIn Copyright - Non-Commercial Use Permitted
Traffic is multimodal in most cities. However, the impacts of different transport modes on traffic performance and on each other, are unclear – especially at the network level. The recent extension of the macroscopic fundamental diagram (MFD) to the 3D-MFD, offers a novel framework to address this gap at the urban scale. The 3D-MFD relates the network density of cars and public transport vehicles to the network flow, for either vehicles or passengers. No empirical 3D-MFD has been reported so far. In this paper, we present the first empirical estimate of a 3D-MFD at the urban scale. To this end, we use data from loop detectors and automatic vehicle location devices (AVL) of the public transport vehicles in the city of Zurich, Switzerland. We compare two different areas within the city, that differ in their topology and share of dedicated lanes to public transport. We propose a statistical model of the 3D-MFD, which estimates the effects of the demands on car and public transport speeds. The results quantify the multimodal effects of both, vehicles and passengers, and confirms that a greater share of dedicated lanes reduces the marginal effect of public transport vehicles on car speeds. Lastly, we derive a new application of the 3D-MFD, by identifying the share of public transport users that maximizes the journey speeds in an urban network accounting for all motorized transport modes Show more
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Journal / seriesArbeitsberichte Verkehrs- und Raumplanung
PublisherIVT, ETH Zurich
Organisational unit03521 - Axhausen, Kay W.
08686 - Gruppe Strassenverkehrstechnik
02226 - NSL - Netzwerk Stadt und Landschaft / NSL - Network City and Landscape
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