Abstract:

The main purpose of this paper is to enable congestion prediction on
urban freeways and objectively measure their impact on daily life.
Indeed, cars’ movement becomes increasingly difficult and, often
causes traffic jams that can last for hours, because of growing number
of used cars, in addition to the unforeseen events that may complicate
more and more this problem (weather, accidents, road works ...). This
is mainly due to the lack of efficient management of roads'
congestions. This paper attempts to bring a technological response to
significantly reduce the congestion problem. Our approach uses smart
sensors which allow traffic jam detecting and relaying such critical
information. Thus, while providing the drivers with context aware
information such as that related to the status of the highway before
crossing, we enable them to make decision and select another road
avoiding the congested one and reducing, by the way, the congestion
itself.