Consumer Electronics

Smart City Bicycle and Pedestrian Counting Technology Released

13 June 2016

VIMOC Technologies, Inc. has completed the beta trial period of its Smart City application for governments seeking intelligence on bicycle and pedestrian traffic in order to meet public safety and environmental goals.

The application is now available to cities after the pilot project was completed in the city of Palo Alto, CA. In an effort to encourage citizens to reduce personal automobile usage, Palo Alto expanded its bicycle and pedestrian counting initiative using VIMOC’s computing and Internet of Things portfolio. Palo Alto deployed sensors throughout the city in order to get a better gauge of usage by citizens, concentrating heavily in the downtown region and around school sites.

The city of Palo Alto used a U.S. Department of Transportation Safe Routes to School grant to expand its initiative. The grant is designed to reduce risks to students and encourage more families to either walk or use bikes instead of driving. The sensors deployed do not collect images or any other personal information, but they do translate movement into data that can be predictive. Data is then processed in the field and sent to the cloud, so it can be accessed in real-time for use in identifying trends and making city-wide decisions.

“Many cities have launched programs to encourage residents to embrace cycling as an alternative for commuting to work and school. But, with limited data or no data at all, these cities struggle to understand if these programs have been successful,” says Tarik Hammadou, CEO and Co-Founder of VIMOC Technologies. “VIMOC enables cities to understand pedestrian and cycling traffic patterns and identify successes and areas of improvement.”

VIMOC’s “landscape computing” extends cloud computing near the edge of the network, offering high scalability, security and cost-effective management of smart infrastructure services. The data is collected and processed through a neural mesh network of sensors across a city or campus through intelligent computing and analytics nodes.

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