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Moia pilot project with TUM & dmo: Ride-pooling is also set to come to Munich
In collaboration with the Technical University of Munich (TUM) and the consulting firm dmo – digital mobilities consultants, the ridepooling provider MOIA has been supporting the city of Munich since the end of last year in the implementation of its mobility strategy. The expansion of shared mobility is one of the central components of the Mobility Strategy 2035, with which the Mobility Department of the City of Munich aims to ensure safe, sustainable, and efficient mobility for its citizens. Approximately one quarter of the routes that people in Munich currently travel each day by motorized individual transport are to be shifted to shared mobility solutions in the future.
Over the coming months, the consortium will develop scenarios on behalf of the city and in close coordination with relevant stakeholders such as the Munich Transport Company (MVG) and the Munich Transport and Tariff Association (MVV). These scenarios will demonstrate what a ridepooling service in Munich could look like, how it can be configured, what development potentials it would have, and how it would impact overall traffic in the city.
Everyone Contributes Their Expertise
The ride-pooling provider from the VW Group brings its many years of expertise in building and operating large ride-pooling fleets in Hamburg and Hanover to the project. In addition, the company has comprehensive data on shared mobility in major cities through its own accompanying research, which can be used when advising cities. The Technical University of Munich contributes its expertise in the analysis of traffic behavior and the development and application of traffic models to the consortium. The "Traffic Behavior" working group led by Prof. Dr. Rolf Moeckel is developing an agent-based demand model for the Munich metropolitan region, which simulates future ride-pooling demand. DMO, in turn, supports with its experience in the conceptualization and implementation of on-demand transport from the perspective of holistic mobility planning.
In detail, the consortium then develops various scenarios, with driver-operated as well as automated vehicle fleets. The scenarios take into account various factors such as service area boundaries, fleet sizes, or possible pricing models. This is intended to demonstrate how ride-pooling can optimally interact with other transport modes and systems in the city, and how the service can best contribute to meeting the mobility demand in Munich in an efficient, flexible, and sustainable manner in the future. To address specific questions, the consortium is in close contact with the relevant stakeholders of the city. The project ends in June 2023.
Translated automatically from German.
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