Sensor-Based Spreader Automation for Reducing Salt Use and Improving Safety
Ayushmaan Aggarwal, Niharika Bhattacharjee, Aadi Bhattacharya, Raka, Bose, Anshul Gupta, Deepta Gupta, Anuj Kapoor, Elina Rani

TL;DR
This paper proposes sensor-based automation techniques for salt spreaders to optimize deicing salt application, aiming to reduce environmental impact and enhance road safety during winter conditions.
Contribution
It introduces real-time adjustment methods using gyroscopic sensors, inclinometers, and RFID communication to improve salt application accuracy on complex road segments.
Findings
Potential to significantly reduce salt usage.
Enhanced safety on curves and inclines.
Decreased operator fatigue.
Abstract
Over 30 million tons of deicing salt is applied on U.S. roads annually at a cost of roughly $1.2 billion and with significant negative environmental impact. Therefore, it is desirable to reduce salt use while maintaining winter road safety. Automatic adjustment of application rate in response to road, weather, traffic, and other conditions has the potential to achieve this goal. In the US, salt application rates are typically pre-set manually based on roadway classification, cycle time, desired level of service (LOS), and expected traffic, road, and weather conditions. The operators can temporarily change the application rate manually based on their experience and observations. Current spreader automation mostly involves adjusting discharge rate in response to spreader speed, although pavement temperature sensors are likely to be adopted in the future. This paper explores extending…
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Taxonomy
TopicsSmart Materials for Construction · Icing and De-icing Technologies
