Regensburg 2019 – wissenschaftliches Programm
SOE 12.7: Poster
Dienstag, 2. April 2019, 16:00–19:00, Poster A
Evaluation of Real Life Taxi Data regarding Demand Responsive Ride Pooling — •Michael Sternbach1, 2 and Stephan Herminghaus1, 2 — 1Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany — 2Georg-August-Universität Göttingen Institut für Nichtlineare Dynamik
One of the most important upcoming challenges of our society are the climate change and shortage of resources, such as energy and clean air. Motorized individual traffic (MIV), which is particularly wasteful in this respect, can potentially be outcompeted by (more parsimonious) ride pooling systems. To achieve this goal, the latter must be provided economically and with sufficient customer comfort. We investigate this possibility by feeding real life taxi data to a demand responsive ride pooling model . We simulate attempts to serve the incoming requests, which in real life were serviced by taxis, in a way such as to pool as many rides as possible under suitable constraints on the tortuosity of the route. This is used to quantify the poolability of the corresponding taxi requests. Optimization of operation under variable cost functions is investigated.
 Herminghaus, Transportation Research Part A 119 (2019)