Dynamic Vehicle Redistribution and Online Price Incentives in Shared Mobility Systems
By Julius Pfrommer, Joseph Warrington, Georg Schildbach, Manfred Morari. IEEE transactions on intelligent transportation systems (Print), 2013
334 citations recorded by the source corpus.
This paper considers the efficient operation of shared mobility systems via the combination of intelligent routing decisions for staff-based vehicle redistribution and real-time price incentives for customers. The approach is applied to London's Barclays Cycle Hire scheme, which the authors have simulated based on historical data. Using model-based predictive control principles, dynamically varying rewards are computed and offered to customers carrying out journeys, based on the current and predicted state of the system. The aim is to encourage them to park bicycles at nearby underused stations, thereby reducing the expected cost of redistributing them using dedicated staff. In parallel, routing directions for redistribution staff are periodically recomputed using a model-based heuristic. It is shown that it is possible to trade off reward payouts to customers against the cost of hiring staff to redistribute bicycles, in order to minimize operating costs for a given desired service level.
Subfields: Automotive Engineering, Building and Construction, Transportation
View Paper: https://www.semanticscholar.org/paper/d477939a2f578757ef94714d537b81321642d642
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- Sabreena Anowar
- Ahmadreza Faghih-Imani
- Eric J. Miller
- Naveen Eluru
- E. Fishman
- Chandra R. Bhat
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Citations in the corpus
- Hail a cab or ride a bike? A travel time comparison of taxi and bicycle-sharing systems in New York City (2017, methodology): “…problematic stations, efficiency of operator rebalancing program, and proposing new methods for optimizing bicycle rebalancing operations and repositioning trucks’ routing schemes (Vogel and Mattfeld, 2011; Nair et al., 2013; Raviv et al., 2013; Fricker and Gast, 2014; Pfrommer et al., 2014).”
- Bikeshare: A Review of Recent Literature (2016, methodology): “Pfrommer et al. (2013) used historical data on the London BSP to model the effectiveness of employing trucks for redistribution as well as the impact of introducing price incentives to the user to mitigate fleet imbalance.”