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ACHILLE: a visual data-driven and network-based tool for transportation planning and simulation



The availability of massive data describing human mobility offers the possibility to design simulation tools to control and improve transportation systems. In this perspective, we propose a visual and data-driven simulation tool based on a multiplex network representation of mobility data, where every layer describes people’s movements with a given transportation mode. We then develop a visual application which provides an easy-to-use interface to explore the mobility fluxes and the connectivity of every urban zone in a city. Our application allows the user to visualize changes in the transportation system resulting from the addition or removal of transportation modes, urban zones and single stops. We show how our visual application can be used to explore mobility in Singapore, by using data provided by the CIKM challenge 2017 and mobility data obtained from external sources. The application allows to simulate the reaction to changes in the public transportation system and to assess the resilience of the transportation network to the removal of single subway/bus stops.
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