Dresden 2020 – scientific programme

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SOE: Fachverband Physik sozio-ökonomischer Systeme

SOE 6: Poster

SOE 6.8: Poster

Monday, March 16, 2020, 17:00–20:00, P2/4OG

Demand Responsive Ride Pooling: Theory, Simulation, Experiment — •Felix Jung and Stephan Herminghaus — Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany

Undeniably one of the most pressing challenges of our time is the question how human mobility can be made sustainable. A possible way to reduce environmental impact is to increase the average ratio of the number of persons being transported to the number of vehicles utilized for the task. This has the potential to not only reduce the impact during operation (i.e. burning of fossil fuels) but also during manufacturing of the vehicles. On a public transport scale this type of operation is termed ride pooling: Persons expressing a desire to travel in similar spatial directions get assigned to a common vehicle, reducing the parallel travel of multiple vehicles.

To predict the key parameters of demand responsive ride pooling systems and to estimate their market potential a corresponding mean field theory has been developed [1], which is investigated here further in the context of experimental data and computer simulations [2].

[1] Herminghaus, Transportation Research Part A 119 (2019)

[2] Sorge et al., Proceedings of the 2015 Winter Simulation Conference