An Agent-Based Distributed Approach for Bike Sharing Systems

Abstract

Shared bikes are wildly welcomed and becoming increasing popular in the world, as a result, quite a few bike sharing systems have been conducted to provide services for bike users. However, current bike sharing systems are not flexible and considerate enough for public bike users because of the fixed stations and not well emphasized about user's satisfactions. In this paper, an agent-based distributed approach for bike sharing systems is proposed, this approach aims at helping users obtain a needed shared bike successfully and efficiently. We pay more attention on user's preferences to improve the satisfaction to the target shared bike, meanwhile, trust and probability are considered to improve the efficiency and success rate. To the end, results from simulation studies demonstrate the effectiveness of our proposed method.

Repositioning Bikes with Carrier Vehicles and Bike Trailers in Bike Sharing Systems

“…To consider dynamic repositioning using carrier vehicles with respect to the movements of customers during the day, Lowalekar et al provided a scalable online repositioning solution using multistage stochastic optimization with online anticipatory algorithms [3,19]. Pierre et al developed a efficient mechanism to maximize the decision intervals between repositioning events by online rebalancing operations [2,7].…”