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Travel time can be defined as the period of time to transverse a route between
any two points of interest.
It is a fundamental measure in transportation.
Travel time is also one of the most readily understood and communicated measure
indices used by a wide variety of users, including transportation engineers,
planners, and consumers.
Travel time data is useful for a wide range of transportation analyses including
congestion management, transportation planning, and traveler information.
Congestion management systems commonly use travel time-based performance
measures to evaluate and monitor traffic congestion.
In addition, some metropolitan areas provide real-time travel time prediction as
part of their advanced traveler information systems (ATIS).
Travel time data can be obtained through a number of methods.
Some of the methods involve direct measures of travel times along with test
vehicles, license plate matching technique, and ITS probe vehicles.
Additionally, various sensors (e.g. inductance loop detectors, acoustic sensors)
in ITS deployment collect a large amount of traffic data every day, especially
in metropolitan areas.
Such data can be used for travel time estimation for extensive applications when
direct measurements of travel times are not available [19].
Travel time, or the time required to traverse a route between any two
points of interest, is a fundamental measure in transportation.
Travel time is a simple concept understood and communicated by a wide variety of
applications for transportation engineers and planners.
Several data collection techniques can be used to collect travel times.
These techniques are designed to collect travel times and average speeds on
designated roadway segments or links.
Following are the different techniques available for the travel time data
collection.
- Test Vehicle Techniques
- License Plate Matching Techniques
- ITS Probe Vehicle Techniques
- Emerging and Non-Traditional Techniques
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