Page 26 - TrafficInfraTech Magazine - July Digital Edition

ON THE COVER

One barrier to the WIM market What is the future, instead of relying solely on
is the high up-front costs of especially with Smart new sensor developments.
implementation and installation. Cities? • Potential modifications to the
Gradual decrease in sensor Smart cities are driving the law, allowing for higher error
efficacy is another key concern.
demand for efficient, cost- margins compared to static
“There are a lot of challenges effective, and eco-friendly scales’ requirements.
in the electronic hardware transportation solutions. • Augmenting WIM systems
designs and installations of Developed and developing with additional sensing
these systems. Work is still in nations are heavily investing in technologies to gather
progress. Accuracy in a certain smart city initiatives, with WIM more detailed vehicular
band is alright for WIM as systems serving as a valuable information.
this is used more for check component of intelligent traffic • Development of automated
weighing for overloaded management. As smart cities ticketing systems for
vehicles (for penalty and continue to rise, the WIM streamlined enforcement.
road safety). WIM need not market is expected to experience
be matching the accuracy of accelerated growth. • Progress in non-intrusive
a static Weigh Bridge, which The future of the WIM market detection methods over the
are used more for trade. holds various possibilities, as next five years.
LIDAR, Quartz Sensors, and predicted by experts: Shreedhar sums up , “India
AI are currently being tried to being the lead developing
generate more accurate and • Advancements in country on the Technology-
installation methods for
reliable systems for WIM,” increased convenience and front, has been concerned
adds. Varun Kumar. on Road damages and
cost-effectiveness.
maintenance for more than
But companies are also • Improved integration a decade now that indirectly
finding ways to improve with other Intelligent increases burden on national
accuracy. Says Shreedhar, Transportation Systems (ITS) fossil fuel requirements with
“We have been developing for better speed enforcement high US dollar dependency. In
products for Static and Dynamic and environmental the recent vision of the Ministry,
applications. Our continuous measurement capabilities. it is evident that the focus has
R&D has led to deeper shifted towards addressing
understanding of hundreds of • Enhanced digitalization road safety through intelligence
failure modes, which affects to enable powerful data built in High-Speed camera, AI,
product performance. This collection and processing and Deep learning software. In
enriched product physics has capabilities. next three years, majority of
led to continuous improvement • Greater utilisation of expressways in India would have
in product achieving +/-5% up Artificial Intelligence (AI), achieved controlled accident
to speed of 65 kmph which is Machine Learning, and rates towards achieving Zero-
highest in the Country.” Deep Learning technologies accident Tolerance.”

26 TrafficInfraTech / July 2023 / www.trafficinfratech-com-500653.hostingersite.com