A camera mounted directly on an operating bus immediately captures violations, where vehicles are stopped in the bus-only lanes, that would have otherwise required substantially more surrounding static camera infrastructure in order to capture the same information.
“New York City is one of the most challenging traffic environments in the world. Siemens Mobility was able to combine and adapt GPS, Geo-fencing and ALPR (Automated License Plate Recognition) into an innovative and much more efficient solution, ensuring the city’s buses are running more efficiently, without being impeded by other vehicles, in bus-only lanes. By improving availability in the lane, it reduces commutes and can improve passenger experience on the more than two million daily bus trips served by their system,” said Michael Peter, CEO of Siemens Mobility. “Our digital solutions are enabling mobility operators worldwide to make their networks more intelligent and ultimately deliver an enhanced experience for road users. ABLE is a perfect example of how an innovative solution can help solve a real and growing problem for traffic managers in major cities.”
“New York’s leadership in embracing innovative technologies like this will not only be improving the commute for the millions of transit passengers who ride New York City buses, but also helping to mitigate traffic congestion and optimize travel time and safety, benefiting road users who will spend less time sitting in traffic.”
This application features Siemens Mobility’s LaneWatch cameras to capture license plate details of vehicles that obstruct bus lanes, together with advanced video capabilities that record photographs, videos and location information. Motorists who block a bus lane are subject to a fine.
Proven in projects worldwide, Siemens Mobility’s LaneWatch provides transport authorities and highways managers with a highly effective enforcement solution, making use of automatic license plate recognition software in combination with advanced image processing, to deliver robust detection and identification of vehicles for traffic enforcement purposes.