Do you know how many e-scooters ride in your city’s cycle lanes?
Electric scooters are becoming an increasingly important part of our transport methods. The number of people riding electric scooters is increasing, and this number is rising. And thanks to e-scooter sharing services, people can ride the scooters without even owning them. Hence, more people than ever are using electric scooters – some to help the environment, some to save money, and some for fun.
Visit Spain, and you’ll find more electric scooters than cars and motorcycles. And in the next five years, similar scenes could be witnessed in the US and other European countries.
As of June 2021, Paris and Berlin appear to be the hub of e-scooter sharing in Europe, followed by Madrid and Stockholm.
Now, coming back to our headline’s question: how many e-scooters ride in cycle lanes? And – especially in your city?
Telling you the truth, every single municipality should know this number. How?
The naive approach would be to sit for an hour along the bike path, count the e-scooters that pass, and multiply that by 24 hours.
But there is a modern approach: You can easily install the bike, e-scooter and pedestrian counter conceived by Comark and if required, you can add a display and in real time you will get the number of running:
distinguishing one lightweight vehicle from the other, even if they run under the sensor at the same time.
The final result?
An extremely accurate, reliable, and detailed information on active mobility in the quickest and simplest way.
You can know the number of e-scooters/bikes riding even if they are running fast and close to each other. This is a strong point of the laser scanner detection compared to other systems. In fact, the sensor will detect the profile of the lightweight vehicle in a matter of seconds. This is the image that you get:
Therefore, in real time you will know the number of bikes, e-scooters and pedestrians running your cycle lane. Additionally, compared to other systems, even if the lightweight vehicles run all together in group, the sensor is able to detect them autonomously.
But a very sensitive and important fact is related to the anonymous detection. As you may notice from the image above, the laser scanner detects the silhouette only.
Finally, as you may notice from the graphic below, the system is also able to detect the transit direction and all the said data can be read in several different ways. Herewith an example:
This article talks about some of the features of the system. This specific graphic underlines:
- The total transits
- Peak hours
- Number of pedestrians
- Number of bikes
- Number of e-scooters
- Transit direction
This article talks about some of the features of the system. If you want to know more, please, contact Comark.