Abstract
Over the last decade, numerous carsharing systems have been deployed around the world. Yet, despite this success, net profit margins of carsharing services are still insufficient due to a complicated demand modelling and high expenses for fleet redistribution. To address these problems, different carsharing paradigms (e.g., one-way versus free floating), operational models and pricing schemes have been proposed. In order to assess the effectiveness of these models and strategies, realistic simulation tools are needed that account for the main parameters that affect system performance. To this end, we have developed a generic software framework that caters for several flavours of carsharing services, such as hybrid systems where both one-way and free floating modes coexist. In addition, the proposed framework accounts for electric vehicles, power sharing capabilities, smart charging policies, booking services, fleet redistribution and membership management. Our tool is based on MATSim, an open-source platform for multi-agent traffic simulation. To validate our simulation model we will use a case study based on data from the 2006 Lyon conurbation household travel survey, which provides information about more than three million trips.
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Notes
- 1.
A sub-tour is any sequence of activities which starts and ends at the same location. For example, the chain home – work – shop – work – leisure – home (where both work activities are performed at the same location) contains two sub-tours: home-work-leisure-home and work-shop-work.
- 2.
A stage activity is an activity part of a trip journey, such as public transport station, but is not considered as trip end as it is the case for default activities e.g. Home, Work etc.
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Acknowledgement
This work has been partially funded by the ESPRIT project. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 653395.
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Laarabi, M.H., Bruno, R. (2017). A Generic Software Framework for Carsharing Modelling Based on a Large-Scale Multi-agent Traffic Simulation Platform. In: Namazi-Rad, MR., Padgham, L., Perez, P., Nagel, K., Bazzan, A. (eds) Agent Based Modelling of Urban Systems. ABMUS 2016. Lecture Notes in Computer Science(), vol 10051. Springer, Cham. https://doi.org/10.1007/978-3-319-51957-9_6
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