What city does not have to deal with traffic jams, bottlenecks, or parking? These days probably very few. Therefore, all people who are living in, working in, or visiting cities have to deal with waiting times, air pollution, and frustration. So the question is, what could cities do to become more efficient and react to road usage demand?
Of course, it is not easy for cities to control how many commuters or tourists use their streets every day. Nevertheless, cities must find ways to deal with significant traffic issues. The key is reliable data for the actual traffic situation and usage patterns of streets, paths, and intersections. These insights can be used to create effective plans and respond to traffic issues.
Swarm Analytics enables cities to get those reliable traffic insights by providing a device for upgrading existing traffic cameras with AI technology. With the Swarm Perception Box, cars, trucks, pedestrians, cyclists, motorcyclists, and busses counted and tracked in real-time. Even the directions vehicles take at intersections are recognized (e.g. zone a to b or zone b to a). With access to these granular traffic insights, more efficiencies can be created in cities. At the same time, we ensure 100 % GDPR compliance as no picture leaves the camera.
So, how can the gathered data be put into use? Here is a real-world example of traffic insights displayed in a traffic insights dashboard. The different graphs provide an overview of the current traffic volume, capacity status and road usage, as well as historic numbers. It is even possible to gain detailed insights into the types of road users like cars, trucks, busses, motorcyclists, cyclists, and people.
Putting the Data to Use
Of course, traffic data can vary widely depending on the city, intersection or road. Here are some general recommendations for how you could use the traffic data:
- Analyze traffic volumes, peak times and types of road users
- Compare data of different intersections or roads
- Adjust traffic light control
- Forecast traffic volumes
- Use the data as a basis for urban planning
- And generally, streamline operations based on historical and real-time data