A Dynamic Approach to Rebalancing Bike-Sharing Systems
| Autor: | Andrea Zanella, Michele Zorzi, Federico Chiariotti, Chiara Pielli |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Operations research
Computer science 0211 other engineering and technologies Markov process 02 engineering and technology lcsh:Chemical technology Biochemistry Article Analytical Chemistry bike sharing symbols.namesake 0502 economics and business lcsh:TP1-1185 Electrical and Electronic Engineering Instrumentation dynamic rebalancing Smart Cities 050210 logistics & transportation Transportation planning 021103 operations research 05 social sciences Atomic and Molecular Physics and Optics Traffic congestion symbols Bike sharing |
| Zdroj: | Sensors; Volume 18; Issue 2; Pages: 512 Sensors, Vol 18, Iss 2, p 512 (2018) Sensors (Basel, Switzerland) |
| ISSN: | 1424-8220 |
| DOI: | 10.3390/s18020512 |
| Popis: | Bike-sharing services are flourishing in Smart Cities worldwide. They provide a low-cost and environment-friendly transportation alternative and help reduce traffic congestion. However, these new services are still under development, and several challenges need to be solved. A major problem is the management of rebalancing trucks in order to ensure that bikes and stalls in the docking stations are always available when needed, despite the fluctuations in the service demand. In this work, we propose a dynamic rebalancing strategy that exploits historical data to predict the network conditions and promptly act in case of necessity. We use Birth-Death Processes to model the stations' occupancy and decide when to redistribute bikes, and graph theory to select the rebalancing path and the stations involved. We validate the proposed framework on the data provided by New York City's bike-sharing system. The numerical simulations show that a dynamic strategy able to adapt to the fluctuating nature of the network outperforms rebalancing schemes based on a static schedule. |
| Databáze: | OpenAIRE |
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