Skip to main content

Lufft sensors help German smart city

Using data can increase efficiency. Jerg Theurer of Mhascaro explains how one German town is becoming a smart city – with some help from Lufft sensors in a winter roads project
August 10, 2020 Read time: 3 mins
Winter road clearance staff have a lot to do between November and March (© Ee Hh | Dreamstime.com)

The present can look pretty old. The picturesque half-timbered houses in the centre of Herrenberg, Germany, tend to remind passers-by of the past. But the community is becoming a pioneer for smart cities nationwide.

Most smart city applications do not sound like science fiction at all: parking space sensors that show drivers the way to empty spaces, or intelligent garbage containers that automatically request that they be emptied when a certain level is reached.

In order that garbage cans, streets, flower beds and other things provide information about their condition, they must be equipped with sensors and connected to a radio network.

In Herrenberg, data transfer in this Internet of Things (IoT) is done via the Long Range Wide Area Network (LoRaWAN), which is particularly well-suited for smart city applications. Because it uses licence-free frequencies in the industrial, scientific and medical band (863-870 MHz), the municipality has set up a comprehensive data architecture with very low investment costs.

Sensors and data receivers, so-called gateways, communicate via LoRaWAN. The gateways are distributed over the city area at locations as high as possible to guarantee good network coverage. A city like Herrenberg with 30,000 inhabitants can manage with just over a dozen gateways, and in 2018 only two of the receivers were used. These are connected via the internet to servers from which computers can retrieve the data for various applications

The IRS31Pro sensors installed at ground level provide precise data on road conditions
The IRS31Pro sensors installed at ground level provide precise data on road conditions

What’s exciting about the whole thing is that everyone can use the infrastructure - and if necessary expand it themselves. Nevertheless, the data is transmitted in encrypted form and can only be viewed by the respective user. At Mhascaro we use the transmitted data from the sensors and have - in cooperation with the Office for Environment, Technology, Green - developed a platform with which its employees can monitor all sensors in a user-friendly, clear way.

One promising pilot project in Herrenberg is the automated winter service. Road sensors and weather stations provide real-time data, almost like a view of the road from a window. This is a great help for the winter road clearance staff, who have an enormous amount of work to do every season from November to March. Even in winters with little snow, there can always be slippery frost or black ice.

Two Lufft IRS31Pros are currently installed in the Herrenberger Straße, a third will follow soon. Lufft WS10, WS600 and WS800 weather stations provide information on temperature, humidity and pressure, wind speed and direction, solar radiation and precipitation.

The integration into the LoRaWAN network was developed by Mhascaro in close cooperation with Lufft and has been in use since the end of 2018. The measuring instruments tell us something about the current state - but wouldn’t it be more exciting to know what will be?

There’s no crystal ball. Instead, artificial intelligence comes into play. Historical weather data, together with the clearing logs of the winter road clearance service, provide a treasure trove of information from which an algorithm recognises recurring patterns. This could be a correlation between humidity and temperature, for example, because dangerous slipperiness can form even without precipitation.

The larger the database, the more precise and universal its predictions. Therefore, the goal in Herrenberg is to include communities from all over Baden-Württemberg in the project.

In this way, everyone can benefit from each other and make traffic safer in the wet and cold months. Not only in Herrenberg and the surrounding area, but in other places that want to make their operations more intelligent with the help of IoT and artificial intelligence and become smart cities.

For more information on companies in this article

Related Content

  • Traffic management: risky business
    June 15, 2023
    Adding a real-time accident risk layer to the profile of a road network ticks all the crucial boxes: it saves time, fuel, money and, ultimately, lives. Harriet King of Valerann explains the brain power of Lanternn by Valerann’s Core Fusion Engine...
  • Sensor solutions cuts maintenance and emissions
    December 8, 2014
    The new raft of sensor technology can provide cost savings as well as additional functionality, as David Crawford discovers. Austria’s third-largest city, Linz, with a population of around 200,000, is recording substantial savings in its urban tram network within 18 months of introducing a new, high-technology approach to its public transport management. Tram, bus and trolleybus operator Linz Linien forms part of city utilities management company Linz AG, which has been carrying out a wide-ranging Smart Cit
  • Here’s why WiM is value for money
    January 23, 2025
    Weigh in Motion systems are not new. What is new is their ability to collect more data and – importantly – more accurate data about axle loading and vehicle weight. Despite the obvious benefits, including safer highways and possibility of automated legal weight enforcement, obstacles remain for faster uptake. David Arminas reports on the manufacturers’ perspective…
  • Drive C2X tests ITS systems in Finland’s demanding weather conditions
    December 17, 2013
    The VTT Technical Research Centre in Finland is involved in an extensive international Drive C2X project that tests and develops intelligent transport solutions, aimed at improving safety and efficiency in road traffic and reducing the carbon footprint of motoring. The project includes large-scale testing of inter-vehicle communication and communication between vehicles and the roadside infrastructure system. The tests are being carried out using cars from Mercedes-Benz, Opel and Volvo in slippery and deman