| dc.description.abstract | The present thesis focuses on analyzing the problem regarding comfort levels of the cyclist. The
monitoring is carried out using the IoT technologies. This technological proposal focuses on the
collection of data regarding the physical and environmental state of bicycle lanes, where variables to
be captured are: the state of the bike lane, the level of environmental pollution in the area, the ability
to maneuver available to the cyclist and the noise levels perceived by the cyclist regard to vehicular
traffic. The state of the bike lane will be analyzed according to the vibration levels that experiences
the cyclist during the trajectory. The level of environmental pollution in the area will be measured
using the increase in volume in ppm of CO2 which is one of the gases with the greatest presence in the
emissions of internal combustion vehicles and the volume in μg/m3 of the presence of the particulate
material with diameter aerodynamic between 2.5 microns and 10 microns and less than 2.5 microns. It
should be noted that the first correspond to coarse particles generated by mechanical processes such
as construction sites , the suspension of dust and wind, while the latter are fine particles generated
by any combustion source, these are the most dangerous for the health of the person. The ability to
maneuver available to the cyclist will be measured by the separation between the center frame of the
bicycle and a possible lateral obstacle (e.g. vehicles, people, walls, other cyclists etc).
Specifically, our technological proposal consists whit creation of a mobile station, which It will
integrate different sensors to capture the mentioned variables. The station will have connection to
the Internet using the mobile network, allowing in this way to track the data captured by the rider
and his position in real time, as well as storing the recorded data throughout to whole route. In
addition, a video will be saved locally for each route that later can be transferred to an external
storage device freeing the station memory, with this system a security backup will be provided against
possible adverse events that the cyclist could suffer from. Additionally, two types of application are
implemented that allow you to view and interact with the data recorded by the station, one of them
being mobile application for devices with Android operating system and another a multiplatform web
application. In each of them you can view active users in real time and the values captured by cyclist,
as well as also, they allow the review of all stored routes and their respective associated values.
Finally, an analysis of the behavior of the station is shown, in terms of performance in data
capture for each of the variables; processor load and temperature settings central, as well as the energy
consumption used by the station. On the other hand, it is also analyzes the parameters corresponding
to the mobile network that affect the transmission of data, being these are the throughput, delay and
data loss due to intermittent network. The performance of the station is analyzed in several routes
integrated by different types of bike lanes (shared, segregated, integrated, reserved and cycle-path). | |
