2. Related work
In 5 it is presented the development of an infrastructure that provides transportation monitoring information in
real-time for the city of Cambridge in England. It is proposed the implementation of static sensing networks in the
city, as well as sensors and electronic identifiers in mobile objects. The challenge is to deal with the high volume
of data coming out of sensors and present information in the right high level of utility so that it can support
decision taking and planning. The areas to be benefit include the congestion control, feasibility and prevision of
public transport 4. In 6 the authors propose the design of a framework system for traffic administration (TMS) to
reduce the latency of emergency services such as ambulances and police cars with unnecessary interruptions for
regular traffic taken to a minimum, and the prevention of potential misuse. This system controls dynamically
changing lights, can recommend changes in the behavior of drivers as well as the application of essential security
controls. In 7, the authors formally define the dynamic ridesharing problem and propose a large-scale taxi
ridesharing service. It efficiently serves real-time requests sent by taxi users and generates ridesharing schedules
that reduce the total travel distance significantly. And finally in 8 the authors proposed a recommendation system
for taxi drivers and people waiting to take a taxi. This system indicates the taxi drivers some places where they can
pick up clients, quickly maximizing the profits. The system equally recommends people places they can walk to
find easily vacant taxis. The proposed system has a parking site detection algorithm. Additionally, it can also learn
the routes taken by drivers.