To calculate journey times, create drive time catchments and optimise routes, most systems use road networks with speeds attached to each street segment.
The speeds can be determined in a number of ways:
Road Classification |
The simplest approach is to assign speeds to roads based on the road classification, so A roads are faster than B roads etc.
However, this takes no account of the congestion in town centres. MapMechanics data sets also provide urban/rural splits so that the speed of A roads in conurbations are lower than those of other A roads.
For large catchments strategic network such as AA road data provides good results. However, for smaller isochrones a more detailed street network such as NAVTEQ streets is better.
See the difference>>>
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Real GPS Speeds |
Although the road classification method can provide good results over a distance, when detailed results are important, road speeds from real vehicles on the move generate superior results. For example A roads traveling out of the city centre are faster than those traveling into town. See the difference>>>
MapMechanics have processed billions of ITIS GPS signals from real vehicles on the move in Great Britain.
MapMechanics separates the data by vehicle type and time of day to create a range of data sets with rush-hour, off-peak and night time speeds for private vehicles and commercial trucks. |
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Unique StopZone Approach |
StopZone is unique to TruckStops software. With TruckStops you can use road networks with any of the speed methods described on this page, or you can use the Stops Zone method. Both have proved very successful and reliable.
StopZone works on the basis that it is slower to travel through congested areas than uncongested ones and uses a sophisticated algorithm to adapt the crow fly distance to a more realistic value and then adjust more carefully around the start and end points of the journey based on the relative congestion that you are likely to encounter there. Fast and easy to keep up to date. This method is used by many TruckStops users all over the world. |
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