Survey of Station-less Bike-sharing System

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© 2020 by IJCTT Journal
Volume-68 Issue-4
Year of Publication : 2020
Authors : Rajasekaran. G, Pradeep kumar. K, Rithik. R, Pradeesh. L
DOI :  10.14445/22312803/IJCTT-V68I4P108

How to Cite?

Rajasekaran. G, Pradeep kumar. K, Rithik. R, Pradeesh. L, "Survey of Station-less Bike-sharing System," International Journal of Computer Trends and Technology, vol. 68, no. 4, pp. 44-47, 2020. Crossref, https://doi.org/10.14445/22312803/IJCTT-V68I4P108

Abstract
Nowadays in the 21st century, Transportation has become a mandatory aspect of every individual’s life. There is a constant requirement for easy, cheap and accessible modes of transportation everywhere, especially in metropolitan areas. Bikes are becoming the most affordable and efficient way of getting from point A to point B. Commuters who can’t afford their own personal vehicles and in case their personal vehicle is not readily accessible to them struggle to get their commuting needs done. Tourists who need temporary transportation access can make use of bike-sharing systems for fulfilling their needs. The current system has fixed points or stations where the bikes need to be dropped off. We propose a system that does not involve any stations for the bikes and rather the user can drop off the bike at any location of his choosing and the payment process can be furnished on the mobile application.

Keywords
No stations, temporary transportation

Reference
[1] Ines Frade, Anabela Ribeiro”Bike-sharing-A maximal covering location approach” 2015
[2] Bei Chen, Fabio Pinelli ”Uncertainty in urban mobility: Predicting waiting times for shared bicycles and parking lots ” 2016
[3] Lingbo Liu, Jiajie Zhen, GuanbinLi ”Dynamic Spatial-Temporal Representation Leaning for Crowd Flow Prediction” 2020
[4] Lei Bai , Lina Yao1 ” Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting ” 2017
[5] Junming Liu,QiaoLi, ”Functional Zone Based Hierarchical Demand Prediction For Bike System Expansion ” 2017
[6] Marco Santoni, AdishSingla, ”Incentivizing Users for Balancing Bike Sharing Systems” 2015
[7] Andreas Kaltenbrunner, Rodrigo Meza, ”Urban cycles and mobility patterns: Exploring and predicting trends in a bicycle-based public transport system” 2010
[8] Jinlei Zhang 1, Feng Chen 1* Yinan Guo2, ”Multi-Graph Convolutional Network for Short-Term Passenger Flow Forecasting in Urban Rail Transit ” 2019