Improving public transportation through crowd-sourcing

Abstract

Commuting on roads in densely populated cities of the developing world is fraught with high delays and uncertainties. Wide use of public transportation can ease the load on the road infrastructure, but such use is not convenient, partly due to the unpredictable nature. In this work, our goal is to improve the usability of public transportation, through better information. Such information can lead to better planning and predictability for commuters. We take a crowd-sourced approach where information about transportation units as well as road conditions is crowd sourced from commuters. The information is then processed and made available to other commuters. In this context, this paper presents a naming framework we have developed, which will enable flexible and scalable content-driven data gathering and dissemination. Based on a preliminary im plementation of the framework, we present various field experiment results which shed light on the practicality of the proposed approach as well as on technical issues which need further careful addressing.978-1-4799-8439-8/15/$31.00 ©2015 IEEE

A Service-Oriented Approach to Crowdsensing for Accessible Smart Mobility Scenarios

“…Weather conditions can influence the traveling speed of vehicles in the city. In [21], an effective way of describing the entities of a crowdsourced public transit networks (including locations and vehicles) was presented and discussed. A system devoted to monitoring public transport vehicles with an application running on traveling users' mobile phones and detecting the stopping places of vehicles is described in [22].…”

Crowdsensing Solutions in Smart Cities towards a Networked Society

“…To public transport passengers it is important not to wait too long at the stations in extreme weather conditions. This challenge was addressed in [12], where a naming scheme for a content-centric crowdsourcing network as an effective way of describing the entities of a crowdsourced public transit network (locations, and vehicles) was presented. It is a hierarchical nomenclature which can easily express even some properties of a station inside a city, in an area.…”

“…Internet of Things 10 -2015 | Volume 1 | Issue 1| e6 12 a more flexible architecture focuses on a multi-purpose solution adopting open or standard solutions where it is not business-critical to use the proprietary solutions. However, even proprietary solutions might be limited to the service exposure phase and the rest of the analytics, distribution, storage and collection of data could be hosted in a cloud-based architecture as illustrated in Figure 4.1b.…”