IoT Road Quality Monitoring System (RQMS)

IoT Road Quality Monitoring System

Using IoT to continuously monitor road surface conditions by equipping public service vehicles with a set of sensors to enable assessment of the roads’ quality.

Feasibility, reach and impact

Today's road surface measurements are often time consuming, labor intensive, costly in equipment, limited to select roads, and prone to inaccuracy. By optimizing the way these measurements are done, municipalities can more efficiently use their resources.

Many public vehicles, for example, buses, are driving on our public roads on a daily basis. Leveraging this already existing daily activity, public vehicles can be equipped with IoT devices that continuously measure road surface conditions. It has been demonstrated that the necessary IoT devices can be much cheaper than existing tools today but still provide accurate results.*

To gather the data, the IoT road quality monitoring system can be directly integrated within the LaRoWAN system. A similar solution was implemented in Karlstad using LaRoWAN to measure road surface temperature which resulted in time and monetary savings.**

The IoT road quality monitoring system will help planning for correct and efficient preventative measures and thus increasing road longevity, which in turn results in lower fuel consumption and less wear on vehicles driving on the road. Finally, using IoT to monitor road conditions and efficiently plan maintenance will save the municipality’s resources (time & money).

*ASAsense -
*Karlstad -

Challenge or problem: Road wear and tear is constant, however, analysis of road conditions are not. Suboptimal road conditions can have negative societal and environmental impacts, for example by increased fuel consumption and vehicle damage from bumpy roads. Additionally, if roads were to be repaired as early as possible the repairs could be preventative and small, in comparison to long lasting and resource heavy road resurfacing measures.
Solution: Continuous real time data collection to assess road quality and inform resource management for road maintenance. In short: Public service vehicles will be equipped with sensors that can be used to collect data for road quality analysis. The system will be integrated within the LoRaWAN infrastructure to collect and transmit data from the sensors to the platform where data is visualized. Data analysis will allow the municipality to continuously keep track of road quality and more efficiently use their resources
Key Benefits: Save time and costs. Since the sensors will do the data collection continuously and automatically transmitted and analysed, the municipality can save their resources. The manual labour hours from having to go out in the field to do in-person assessments can be spent on other sustainable projects. High accuracy assessments. Thanks to large scale aggregated data, more accurate assessments can be made. Real time data represents the exact current state of the road instead of momentarily measurements. Fits in with existing systems. The LoRaWAN can be used to collect the data from the sensors and transmit it to a database. Low maintenance. A typical LoRaWAN sensor can go without maintenance until the end of its battery life (5-10 yrs). By using C-class sensors we can use the vehicle to charge the sensor, allowing the sensor to last as long as the vehicle itself.
A Word From The Originator: This concept is a result of Hack for Södertälje 2022: A 24h event to ideate and develop concepts to contribute to Södertälje’s development towards "The inclusive, sustainable and connected Södertälje”. This concept aims to promote SDG nr. 9: Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation The idea for this concept was generated through a brainstorm around how we might improve the use of resources in the municipality using IoT. We focussed on issues that affect both the municipality as an organization and the citizens themselves. We tried to come up with a solution that leveraged IoT, could generate valuable (open) data, and would match or complement existing solutions in Södertälje. Ambitions for the future: We hope to see IoT be applied more broadly in the future. We believe in its ability to optimize the use of resources, but also in the value of the rich open data it can generate. The open data might provide important insights to support development for a sustainable society. Of course, we also hope to see many public vehicles with frequent driving activity equipped with IoT devices to monitor road quality, and thereby help municipalities optimize the use of their resources.
Listing created Feb 28, 2022

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