The German city of Rüsselsheim am Main, centrally located in the Rhine-Main area, will use the technology to monitor and report trucks that are banned on city streets to ease road congestion.
The German city of Rüsselsheim am Main is implementing a lidar-based intelligent infrastructure solution to monitor municipal truck traffic and improve air quality.
Rüsselsheim will use Velodyne’s full stack Intelligent Infrastructure Solution for digital monitoring and reporting of trucks that are banned on city streets to ease road congestion and air and noise pollution.
Impact on air quality
Centrally located in the Rhine-Main area, which is the second-largest metropolitan region in Germany, Rüsselsheim is an ideal transportation hub with many highway connections. However, this has resulted in hundreds of trucks passing through the city each day, creating heavy traffic and degrading urban air quality.
To address this problem, Rüsselsheim banned the transit of trucks that weigh more than 7.5 tons on city streets unless they have a starting point or destination within the municipality.
As part of an initiative to digitize municipal transport systems (called DikoVers), Rüsselsheim will deploy 16 lidar-based monitoring stations located on heavily traveled access roads used for entering and exiting the city.
The municipal transport system was developed and coordinated with the Hessian state government freedom of information officer. The officer is responsible for monitoring compliance with European Union’s General Data Protection Regulation (GDPR) which safeguards data privacy.
“Rüsselsheim is taking an innovative approach to protecting city residents from the congestion, noise and exhaust fumes caused by long-distance truck traffic”
The application’s lidar sensors capture non-personalized features of vehicles and their occupants on roadways to detect and electronically monitor trucks subject to the city-wide driving ban aimed at reducing traffic.
To classify vehicles and identify ones subject to Rüsselsheim’s truck ban, Velodyne’s solution uses the company’s Ultra Puck lidar sensors that do not identify driver facial features and license plate numbers, protecting privacy of individuals and vehicles. The application’s digital monitoring decreases traffic enforcement burdens on police resources.