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SOE: Fachverband Physik sozio-ökonomischer Systeme

SOE 17: Traffic, Urban and Regional Systems I

SOE 17.3: Vortrag

Donnerstag, 19. März 2020, 16:30–16:45, GÖR 226

Traffic flow splitting from digital decision support — •David-Maximilian Storch, Malte Schröder, and Marc Timme — Chair for Network Dynamics, Center for Advancing Electronics Dresden (cfaed), Technical University of Dresden, 01062 Dresden, Germany

Digital technology is fundamentally transforming human mobility. Mode and route choices are greatly affected by a variety of smartphone-based trip planning applications. In uncertain or overwhelmingly complex traffic situations such software tools provide valuable decision support to their users. Yet, it is unclear how widespread adoption of digital routing technologies alters the collective dynamics of the population's mode and route choices. Here, we answer this question for the dynamics of urban commuting under digital decision support.

We formulate the commuting dynamics as a repeated congestion game where a fraction of the population relies on, but also contributes to, crowdsourced traffic information. Informational nudges provided by the decision support tool modify the commuters' route choice rationale and their traffic assignment. If the tool simply distributes the crowdsourced traffic information, we uncover a separation of commuter flows into technology and non-technology users, fueling systemic inefficiencies. An alternative class of route suggestion protocols may overcome this problem and promote socially optimal mobility outcomes.

These results highlight new research directions in the field of algorithmic design of mode-route choice decision support protocols to help fight congestion, emissions and other systemic inefficiencies in the course of increasing urbanization, digitization and autonomy.