Improving Sharing Rates of a Dial-a-Ride Problem implemented for an Austrian Mobility Provider | Zendy

Philipp Hungerländer | Zendy; Kerstin Maier | Zendy; Veronika Pachatz | Zendy; Christian Truden | Zendy

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Improving Sharing Rates of a Dial-a-Ride Problem implemented for an Austrian Mobility Provider

Author(s) -

Philipp Hungerländer,

Kerstin Maier,

Veronika Pachatz,

Christian Truden

Publication year - 2021

Publication title -

transportation research procedia

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.657

H-Index - 40

eISSN - 2352-1465

pISSN - 2352-1457

DOI - 10.1016/j.trpro.2021.01.062

Subject(s) - public transport , transport engineering , service provider , computer science , set (abstract data type) , point (geometry) , service (business) , work (physics) , order (exchange) , operations research , business , marketing , engineering , finance , mathematics , mechanical engineering , geometry , programming language

The Dial-a-Ride Problem (DARP) aims to find a set of minimal cost tours for passenger vehicles in order to satisfy a set of transport requests. Each request requires to pick up one or more passengers at a defined pick-up point and then drop off the passengers at the desired destination. In this work, we consider a DARP that has been implemented for an Austrian mobility provider. The company focuses on rural regions that suffer from insufficient public transportation and offers a sustainable form of mobility. The provider is especially interested in improving the sharing rates of the mobility service. Therefore, we propose a Large Neighborhood Search for solving the respective DARP. In a computational study, we compare different configurations of the service and identify the most promising configurations regarding sharing rates, passenger convenience and, hence, the overall efficiency of the service.

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