A Collaborative GIS Solution for Public Transport

Abstract

The recent years brought forward a large number of solutions for automating route finding given the increased availability of geographical data. However, such solutions rarely focus on mass transit or involve the user in submitting information in a collaborative manner to further improve the available dataset and provide additional services. The system presented here intends to fully address these issues by providing a modular, extensible collaborative one-stop-shop for public transport needs based on multi-source collaborative data inputs from both official and user-submitted sources with the usage of a flexible, genetic-algorithms based route-finding application. Implementation wise, the solution is based on an open-ended system of collaborative web-services with front-ends available on mobile, desktop and web platforms. The proposed solution will not only provide users with a powerful technical solution, but will address the theoretical concern by which the increase of available GIS data is solely used for last-mile, map-like solutions

Keywords

• collaborative solution
• public transport
• genetic algorithms
• geographic information systems (GIS)