摘要: |
This proposal aims at developing an integrated connected and
autonomous truck routing model that simultaneously considers
interdependency between traffic lane/�track� use, platooning, and
pavement deterioration and rehabilitation, such that the total life-cycle
societal costs due to infrastructure investment, traffic delay, and
pavement life-cycle costs are minimized.
The outcome of the study will be a recommendation about how to
implement active sensors such as radio frequency identification (RFID) and multi-functional piezoelectric
sensors into existing roadways and to assess long-term durability.
The outcome of the study will help achieve near-zero maintenance during
service life and resilience over a range of extreme weather conditions
during day and night. Successful implementation would optimize lane use
of heavy trucks over the planning horizon, such that the deterioration
process of pavements can be decelerated. In addition, the investigation of
the wheel wander of trucks following each other in way that damage
accumulation is uniformly distributed over a lane will allow healing of the
pavement and alternate compression/tension of loaded points and,
therefore, excessive damage accumulation on a specific point(s) over a
lane will be better controlled and pavement service life will be prolonged.
When implemented, the research would result in guiding vehicles in a way
that their tires would pass over existing cracks at the pavement surface, so
that while crack development at the pavement surface is controlled by
minimizing the tension strain/stresses applied on the cracks, transverse
compressive strains/stresses can potentially minimize the width of the
cracks. |