Balancing Strategies for Bike Sharing Systems
The increase of population in big cities has produced several problems related to mobility of humans in the city, such as congestions, CO2 emissions, etc. Lately, governments are trying to mitigate this situation by promoting the use of greener means of transportation such as electrical vehicles or bikes. In this paper, we focus on station-based bike sharing systems (BSS). This type of infrastructure (bikes and parking docks) is shared by many users. However, there are some inefficiencies in their management due to imbalanced situations in which some stations fail to provide the service (bike hires or returns) because they are empty or full. We tackle this problem by suggesting users to take (or return) bikes from stations with the goal of keeping the system as balanced as possible. We evaluate our proposal with Bike3S, a bike sharing system simulator developed for testing these types of strategies.
KeywordsBike sharing Smart transportation Smart mobility Multi-agent systems
Work partially supported by the Autonomous Region of Madrid (grants “MOSI-AGIL-CM” (S2013/ICE-3019) co-funded by EU Structural Funds FSE and FEDER, and “PEJD-2017-PRE/TIC-3412” by “Consejería de Educación, Juventud y Deporte” and FSE), project “SURF” (TIN2015-65515-C4-4-R (MINECO/FEDER)) funded by the Spanish Ministry of Economy and Competitiveness, and through the Excellence Research Group GES2ME (Ref. 30VCPIGI05) co-funded by URJC-Santander Bank.
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