2331
Plays
28 Nov 2020
Abstract:
Safety plays a critical role in transportation infrastructure management. Proper tire–pavement interaction is essential for the safety of motorists when driving on the highways. Most of existing methods use contact approaches to measure the highway surface/pavement friction or skid number in the network-level transportation infrastructure management. These methods have a series of disadvantages such as unsustainable due to tire and water consumption, low efficiency, low coverage etc. Considering pavement surface texture is a major contributing factor to tire–pavement friction, researchers have recently shifted to the non-contact and fast approach. This new technology uses laser line-scan device to collect pavement surface texture at highway speed. This talk focuses on using an in-house high-resolution Line Laser Scanner (LLS) to collect pavement texture. The real-world texture is simulated based on the high-resolution texture data from the LLS. An in-depth variety of statistical analysis is conducted to correlate the texture metrics to the friction data. The results indicate a strong positive correlation between the texture and friction data. The findings suggest that using the texture to represent highway pavement friction is feasible and appealing in both engineering and practice aspects. This will greatly advance the safety-related transportation infrastructure management.
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