Paper Info
Title
Towards A Real-Time Public Transport Data Framework Using Crowd-Sourced Passenger Contributed Data
Abstract
Public transportation is still an important part of a modern city. The availability of real-time public transport data can help improve the needs of commuters. However, the access to the data or its availability is not always guaranteed. There are two reasons why this information is unfortunately not accessible nor available. Firstly, the public transport data is only available in closed systems. It is only accessible internally, often only used by the transport service provider. Secondly, some transport service providers do not have the infrastructure to acquire real-time data, let alone to provide the data to any interested parties. This paper discusses the problems and proposes a framework that aims to provide real-time public transport data using crowd-sourced data provided by commuters for commuters. The use of sensor data from commuters' smartphones as well as interpreted contexts may be a viable solution to the problems identified. In this paper, implementation challenges of such a framework are summarised and several potential research aspects are presented.
Year
Venue
Field
2015
2015 IEEE 82ND VEHICULAR TECHNOLOGY CONFERENCE (VTC FALL)
Computer science,Transport engineering,Public transport,Global Positioning System
DocType
Citations 
PageRank 
Conference
1
0.35
References 
Authors
7
2
Name
Order
Citations
PageRank
Sian Lun Lau18111.48
S. M. Sabri Ismail210.35