HIGH-PERFORMANCE HIGH-SPEED WIM FOR SUSTAINABLE ROAD LOAD MONITORING USING GIS TECHNOLOGY
The increasing importance of better transport connectivity has indicated the need to develop high-speed road load monitoring technologies. The Belt and Road Initiative (BRI), Silk Road transportation programs considerable have developed the roads and highways networks in Kazakhstan and other Cent...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Silesian University of Technology
2021-12-01
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| Series: | Transport Problems |
| Subjects: | |
| Online Access: | http://transportproblems.polsl.pl/pl/Archiwum/2021/zeszyt4/2021t16z4_13.pdf |
| Summary: | The increasing importance of better transport connectivity has indicated the
need to develop high-speed road load monitoring technologies. The Belt and Road
Initiative (BRI), Silk Road transportation programs considerable have developed the
roads and highways networks in Kazakhstan and other Central Asian (CA) countries.
Transportation services require proper maintenance and prompt track load monitoring.
There is no holistic freight traffic management system that controls and monitors traffic
flow in CA. A Weigh in Motion (WIM) technology can be used as an effective traffic
management control system in the CA region. The WIM technology is designed to
control axle and gross vehicle weight in motion. It has a wide range of applications,
including pavement and bridge weight control, traffic legislation and state regulations.
The WIM technology has advantages over conventional static weighing as it does not
interrupt traffic flow by creating queues at monitoring stations. The WIM technology can
be used not only as a weight control tool but also performs a comprehensive analysis of
other traffic flow parameters. In cooperation with Korean UDNS experts with support
from KAIA, we test the application of WIM in Nur-Sultan city, North of Kazakhstan,
with Siberian-type cold weather. These works create much challenges and innovative
approach to test sensors in the harsh environment, from the extreme cold to hot
temperatures, with intensive dust distortions. Our Talapker WIM pilot test site was
installed in September 2020, and it performs Gross Vehicle Weight (GVW) and Axle of
Weight (AOW) analyses. The Talapker WIM High Speed (HS) sensors are capable of
detecting different driving patterns, including everyday driving, acceleration or
deceleration more than 10km/h/s and eccentric driving (partial contact with the platform
to avoid excessive weighting). The pilot Talapker HS WIM site has demonstrated a
positive effect on implementing WIM technology in Kazakhstan. Every 10th car passing
through the WIM site registered as an overloaded vehicle by gross weighting, and every
5th car is considered overloaded by axle weighting. GIS-based location allocation
analysis (LAA) performed in the given study provided an understanding of a practical
implementation of WIM sensors. Taking into consideration different geographical data,
the WIM site map was developed to reveal 43 suitable locations. Further improvements
for the CA road network and their WIM demand points will be the focus of future
research investigations. |
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| ISSN: | 1896-0596 2300-861X |