Abstract
This paper proposes a multi agent system that provides visualization and prediction tools for bike sharing systems (BSS). The presented multi-agent system includes an agent that performs data collection and cleaning processes, it is also capable of creating demand forecasting models for each bicycle station. Moreover, the architecture offers API (Application Programming Interface) services and provides a web application for visualization and forecasting. This work aims to make the system generic enough for it to be able to integrate data from different types of bike sharing systems. Thus, in future studies it will be possible to employ the proposed system in different types of bike sharing systems. This article contains a literature review, a section on the process of developing the system and the built-in prediction models. Moreover, a case study which validates the proposed system by implementing it in a public bicycle sharing system in Salamanca, called SalenBici. It also includes an outline of the results and conclusions, a discussion on the challenges encountered in this domain, as well as possibilities for future work.
Highlights
There is a consensus in the literature [1,2] which states that bicycles are one of the most sustainable modes of urban transport and they are suitable for both short trips and medium distance trips.Riding a bicycle does not have any negative impact on the environment [3], it promotes physical activity and improves health
All bike sharing systems operate on the basis of a common philosophy, their principle is simple: individuals use bicycles on an “as-needed” basis without the costs and responsibilities that owning a bicycle normally entails [9]
Peter Midgley indicates in his study [3] that bike sharing systems can be categorized into 4 generations depending on their features: (1) First generation bike sharing systems: the first generation of bike sharing systems was introduced in Amsterdam (1965), La Rochelle (1976) and Cambridge
Summary
There is a consensus in the literature [1,2] which states that bicycles are one of the most sustainable modes of urban transport and they are suitable for both short trips and medium distance trips.Riding a bicycle does not have any negative impact on the environment [3], it promotes physical activity and improves health. Due to the increased CO2 levels, the European Union and other states are taking measures to reduce greenhouse gas emissions in every sector of the economy [4]. These facts explain the growing popularity of sustainable means of transport such as bike sharing systems. Peter Midgley indicates in his study [3] that bike sharing systems can be categorized into 4 generations depending on their features: (1) First generation bike sharing systems: the first generation of bike sharing systems was introduced in Amsterdam (1965), La Rochelle (1976) and Cambridge (1993) These systems provided totally free bicycles which could be picked and returned in any location. The systems had a coin deposit (like the supermarket trolleys) but they still suffered from thefts due to the anonymity of the users. (3) Third generation: this generation uses high tech solutions including electronic locking docks, smart cards, mobile applications, built-in GPS devices in the bikes and totem applications. (4) Fourth generation: it is still in the process of development, this generation includes movable docking stations, solar-powered docking stations, electric bikes and real-time system data
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
