Smart City: integrate your mobility and crowd management devices

 

In cities, parks, and buildings such as shopping malls, airports, and large offices we often see isolated vertical solutions such as parking systems, video surveillance, microphones for sound levels, travel info for trains/flights/boats, or ticket vending machines. The OpenRemote open source IoT platform for Smart Cities adds value by combining live data, connecting the dots to generate traffic and crowd predictions. These smart aggregation of integrated solutions and the predictions help you gain new insights into activity in your area of interest and optimise your services.

Integrate different solutions into one centralized platform

The biggest source of new information comes from the smart combination of existing devices. By integrating the devices of separate systems into one centralized platform, their data can be processed and combined. For example the values of a microphone and a people counter allows you to make the distinction between a busy, but calm morning, and a busy noisy crowd.
Dashboard with passenger flows

Predict traffic flows and define profiles

OpenRemote rules engine allows users to predict traffic flows and bottlenecks. Knowing these ahead of time lets professionals anticipate and (automatically) act on upcoming congestion. For instance, expected delays in arrivals at an airport are predicted to translate into critical queue times at passport control one hour later. The system automatically sends a request to teamleads to move staff in an hour. This can be combined with profiles, defining additional conditions for a trigger. In the airport example, the origin, dominant language, or airline is relevant for defining the required staff capabilities.

Automated notifications to inform traffic and crowd control

As an area or crowd manager you can easily set up alarms when certain threshold values are crossed. For example when a square during a national celebration gets too crowded or when an intersection is disproportionally busy compared to similar intersections. Together with the use of geofences, these alarms can be directly forwarded to personnel in the indicated area as e-mail, text, or in-app notification. Additionally, geofences can be used to send notifications when a user enters a certain area. This opens opportunities to send context-based messages, such as surveys, to end-users.
Measurements of air quality and traffic in smart city
Data visualisation tool for connected IoT devices

Data visualisations to gain new insights

With all assets connected you can build your own dashboard with data visualizations, for example compare busy streets, areas, or hallways. Additionally, you can compare with historical data to find out whether recent improvements had an impact on the traffic flow. With the data processing interface, you can create custom data, such as Key Performance Indicators which you can place on your dashboard and easily monitor.

Use cases