1 research outputs found
Road travel time prediction - A micro-level sampling approach
The ability to generate accurate travel time predictions
for road freight transport is important when, for example,
estimating the arrival times for heavy goods vehicles (HGVs)
in order to plan terminal activities. We present a micro-level
sampling method for road travel time prediction. The method
makes use of historical GPS-data in order to determine the
movement of a vehicle from an origin to a destination along a
specific route. The method generates a travel time distribution,
which can be used to obtain the expected travel time and
probabilities for deviations. The method has been illustrated
and evaluated in an experiment where the effective travel
time was predicted for transport between two terminals. The
experiment made use of GPS data that was recorded for two
HGVs during a period of two months. An important feature of
the method is that it does not need road network information,
such as speed limits and number of lanes