Cityride: A predictive bike sharing journey advisor

Ji Won Yoon, Fabio Pinelli, Francesco Calabrese

Research output: Chapter in Book/Report/Conference proceedingConference contribution

58 Citations (Scopus)

Abstract

In this paper, we present a personal journey advisor application for helping people to navigate the city using the available bike-sharing system. For a given origin and destination, the application suggests the best pair of stations to be used to take and return a city-bike, in order to minimize the overall walking and biking travel time as well as maximizing the probability to find available bikes at the first station and returning slots at the second one. To solve the journey advisor optimization problem, we modeled real mobile bikers' behavior in terms of travel time, and used the predicted availability at every bike station to choose the pair of stations which maximizes a measure of optimality. To develop the application, we built a spatio-temporal prediction system able to estimate the number of available bikes for each station in short and long term, outperforming already developed solutions. The prediction system is based on an underlying spatial interaction network among the bike stations, and takes into account the temporal patterns included in the data. The City ride application was tested with real data from the Dublin bike-sharing system.

Original languageEnglish
Title of host publicationProceedings - 2012 IEEE 13th International Conference on Mobile Data Management, MDM 2012
Pages306-311
Number of pages6
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 IEEE 13th International Conference on Mobile Data Management, MDM 2012 - Bengaluru, Karnataka, India
Duration: 2012 Jul 232012 Jul 26

Publication series

NameProceedings - 2012 IEEE 13th International Conference on Mobile Data Management, MDM 2012

Other

Other2012 IEEE 13th International Conference on Mobile Data Management, MDM 2012
CountryIndia
CityBengaluru, Karnataka
Period12/7/2312/7/26

Keywords

  • bike-sharing
  • journey planner
  • mobile phone application
  • mobility analysis

ASJC Scopus subject areas

  • Information Systems

Fingerprint Dive into the research topics of 'Cityride: A predictive bike sharing journey advisor'. Together they form a unique fingerprint.

Cite this