As the world population is becoming predominantly urban, is of particular interest for authorities and planners to measure the pulse of the cities, because it allows to propose regulations, politics and solutions to problems with a deep economic, environmental, and public health impact in the domain of the urban mobility.

One technique appropriate for the continuous measuring and monitoring of cities, is participatory sensing -a paradigm empowering users to create “sensing campaigns” to collectively collect data leveraging the sensing technology they use in their everyday lives. Few projects in participatory sensing have  explored how to use the data collected through sensing campaigns for individual self-reflection and behavior-change.

In this project we propose to use smartphones and specialized sensors attached to public transportation busses to capture  mobility, and  driving aggressive behaviors like excessive breaking, open turns, speed excess and route deviations to promote better driving behavior.

In this research we aim to answer the following research questions:

  • Which are the driver behaviors that can be measured trough a participatory sensing campaign?
  • Which mechanisms can be used for persuading drivers to share their own information in a participatory sensing campaign?
  • Which are the right visualization for promoting the self-reflection using the information gathered trough participatory sensing campaigns?
  • How participatory sensing being employed for inducting a change in the driver behavior?

We propose the Driving Habits System, for deploying a participatory sensing campaign, where drivers, employing Android devices (i.e. smartphones and tablets), and a Bluetooth interface attached to the ODB-II standard port of vehicles, to capture information (i.e., mobility traces, vehicle engine information and accelerometer data). This information is useful to identify aggressive manoeuvres like excessive breaking, acceleration, open turns, and speed excess, for making the driver aware of its own behaviour as long it would help to identify urban problems (i.e., traffic, pot holes, bumps, poor signals, etc.).

The application provides a GPS navigation system like interface, and four indicators for showing the driver performance in the aggressive manoeuvres mentioned.

At this stage of the project, we are preparing an into the wild evaluation survey for collecting information in the city of Ensenada, B. C. Keep it close to next news about the open call in order to participate in this study.


In collaboration with J. Antonio Garcia-Macias (CICESE)


Project participants

Miguel Angel Ylizaliturri Salcedo, M.Sc. Student (see more about miguel …)
e: miguel.ylizaliturii[at]gmail[dot]com

Monica Tentori, Ph.D., Assistant Professor (see more about monica …)
e: mten …

Related publications to the project

  • Ylizaliturri-Salcedo, M., Delgadillo-Rodríguez, S., García-Macías, J., Tentori, M., (2013) “Participatory Sensing for Improving Urban Mobility”, 1st Workshop on Urban Applications and Infrastructure, in extended abstracts of UCAmi ’13. The 7th international conference on Ubiquitous Computing and Ambient Intelligence. December 1-6, 2013. Guanacaste, Costa Rica. Springer