name of the application
How Long to Wait?
Zhou et al, 2012
short description of the application (one-two sentences)
A prototype of a bus arrival time predicitions system based on crowd-participatory sensing.
status of deployment (for example: real-life project, testing, demonstration, …)
general, public transportation, users, car drivers, truck drivers, children, cyclists, …
open-source (in order to make unique campaigns) or proprietary software
which modes of transport can be monitored (bicycle, public transportation, car, …)
who can launch a campaign
which type of sensors or methodes are used to obtain data
Microphone, accelerometer and mobile phone signal.
quantitative: what kind of data is measured
speed, distance, noise, location,…
Speed, location and vibrations ot the bus, noise from the card reader.
what type of qualitative data is gathered
what kind of data is calculated
CO², cost, health ; What is the basis of calculation (e.g. reference database, European guidelines for external costs, etc.)
Microphone detects audio indication signals of the busses card reader. The accelerometer is used to distinguish the travel pattern of buses to other transport means and the received celltower sequences are matched to the signature store in the database.
which reporting method is used (for example: website or directly on the smartphone’s app, heat maps, dashboard, and/or reports)
method of reporting (visualisation) of the collected data (qualitative representation can be a red or a green light, a text explaining the progress, while quantitative representation consists of numbers or statistics
self-monitoring, gamification, rewards, social networks,…
applicability of results
are the results useable for policy-makers and how can they obtain this information?
The results can not be directly consulted because of the experimental phase of the project.
gaps and limitations of the campaign or application
The number of celltowers that a sharing user can capture on a bus influences the bus classification accuracy (referencing points). The number of sharing passengers affects the prediction accuracy in the system. The bus classification method needs a sufficiently long celltower sequences for accurate bus route classification, and consequently the arrival time at the first few bus stops would not be timely updated. efficiently and accurately classifying different bus routes sharing substantial portion of overlapped segments.
other important remarks for the review, links to other projects, …
A crowd-participated bus arrival time prediction system using commodity mobile phones.// php echo wpdocs_custom_taxonomies_terms_links(); ?>