As a leader in deep-technology for Urban Analytics, Blimp produces innovation with the aim of improving the quality of life and public services offered by public administrations or their related companies. Blimp’s technology transfers digital metrics into the real world, guaranteeing data privacy and aggregation, and allowing data to be extrapolated to further enable applications for optimizing the costs of public administrations. Examples include energy efficiency based on the actual presence of people or vehicles in an area (Smart Lighting); improving the quality of already existing services, such as public transport efficiency or bike lane monitoring; enabling use cases for the creation of new services for citizens, one of them being Smart Parking applications. Our solution also makes it possible to monitor the influx of people within spaces used for pubic events, extrapolating data on the impact of the event even in areas not directly affected by the event. Blimp’s Head-Counter sensor also finds large use in the world of Out of Home Advertising, with the measurement and certification of the audience of advertising installations to maximise return on investment.

As a leader in deep-technology for Urban Analytics, Blimp produces innovation with the aim of improving the quality of life and public services offered by public administrations or their related companies. Blimp’s technology transfers digital metrics into the real world, guaranteeing data privacy and aggregation, and allowing data to be extrapolated to further enable applications for optimizing the costs of public administrations. Examples include energy efficiency based on the actual presence of people or vehicles in an area (Smart Lighting); improving the quality of already existing services, such as public transport efficiency or bike lane monitoring; enabling use cases for the creation of new services for citizens, one of them being Smart Parking applications. Our solution also makes it possible to monitor the influx of people within spaces used for pubic events, extrapolating data on the impact of the event even in areas not directly affected by the event. Blimp’s Head-Counter sensor also finds large use in the world of Out of Home Advertising, with the measurement and certification of the audience of advertising installations to maximise return on investment.

SMART CITY USE CASES:

1. Traffic analysis:
Monitoring vehicular flows in main junctions.

DESCRIPTION

Real-time analysis of vehicular traffic entering and leaving cities, in main road junctions, or in particular designated areas. The analysis makes it possible to evaluate traffic peaks, directionality and the classification of the type of vehicle in transit.

DATA

  • Historical and real-time counting of the number of transited
    vehicles

  • Classification of vehicles (cars, motorcycles, bicycles, buses, etc.)

  • Hourly traffic matrices

  • Directionality of vehicles

  • Average transit times

  • Congestion index

  • Speed ​​indexes

  • Danger indexes

  • Comparison benchmark on a time or territorial basis

  • Prohibited uses (incorrect flow, prohibited parking, motorcycles on
    sidewalks, crossings outside the crossings, etc.)

2. Pedestrian influxes in urban environments:
Flows in the main pedestrian areas.

DESCRIPTION

Real-time analysis of pedestrian traffic in the main urban areas of the city such as the historic centre, parks, stations, pedestrian areas, or areas surrounding specific events. Real time data analysis allows for the detection and communication of anomalous situations, overcrowding, or people/vehicles in prohibited areas.

DATA

  • Number of pedestrians in monitored areas

  • Sociodemographic classification of pedestrians

  • Average time spent in the monitored areas

  • Directionality of flows

  • Detection of gatherings or anomalous situations

  • Danger index for pedestrians

  • Real-time alerts for public safety

  • Hourly turnout matrices

  • Measurement of tourist flow

  • Benchmark for temporal or territorial comparison

3. Smart parking in neighbourhoods:
Real-time measurement of parking probability.

DESCRIPTION

Gather real-time information on traffic flows entering and leaving defined areas, such as historic centres, for the creation of a dynamic signage plan to be positioned on main access points, which signals to citizens the probability of finding parking in that area. Furthermore, with the data collected, the Public Administration has the possibility of monitoring the level of traffic and pollution in the city centre.

DATA

  • Number of vehicles entering/exiting neighbourhoods

  • Classification of vehicles

  • Parking occupancy index by area

  • Triggers for piloting signals in real-time

  • Monitoring of pollution data in the streets of the city centre

4. Smart parking in public car parks:
Real-time measurement of parking occupancy.

DESCRIPTION

Real-time detection of the occupancy of single parking spaces in a given area to provide insights to drivers on the real availability of parking and to Municipalities on the analysis, use and request of parking areas in the city.

DATA

  • Number of vehicles in the parking lot

  • Number and identification of free parking spaces

  • Classification of vehicles in parking areas

  • Piloting of variable message systems

  • Average length of stay

  • Congestion index

  • Speed ​​indexes

  • Danger indexes

  • Average number of people per vehicle

  • Parking in prohibited areas

5. Analysis of cycle paths:
Flows of all light vehicles.

DESCRIPTION

Monitoring the use of cycle paths with precise analysis of flows and piloting of signals. Real-time reporting of the passage of unauthorized vehicles (cars, scooters, etc.) or of any violations.

DATA

  • Number of passing bicycles and/or other light vehicles

  • Directionality of the flows of bicycles and/or other light
    vehicles

  • Reporting of the presence of types of unauthorized vehicles

  • Data display of information systems

6. Public transport support:
Bus stop analysis and origin/destination matrix.

DESCRIPTION

Real-time monitoring of bus stops and public transport to create an origin/destination matrix of passenger flows, or to provide precise insights on the waiting times and traffic flows in real time to both citizens, through variable message boards, and control centres, so that they so that they can best manage the fleets on the ground.

DATA

  • Source/Destination Matrix: Daily data regarding the number of passengers who boarded each stop and got off at respective subsequent stops

  • Socio-demographic classification of onboard passengers

  • Number of people waiting at the bus stops

  • Average stay times at bus stops

6. Public transport support:
Bus stop analysis
and origin/
destination matrix.

DESCRIPTION

Real-time monitoring of bus stops and public transport to create an origin/destination matrix of passenger flows, or to provide precise insights on the waiting times and traffic flows in real time to both citizens, through variable message boards, and control centres, so that they so that they can best manage the fleets on the ground.

DATA

  • Source/Destination Matrix: Daily data regarding the number of passengers who boarded each stop and got off at respective subsequent stops

  • Socio-demographic classification of onboard passengers

  • Number of people waiting at the bus stops

  • Average stay times at bus stops

7. Analysis of events:
Influxes and flows in the areas involved in the event.

DESCRIPTION

Measurement of pedestrian flows in the monitored areas before, during and after the event. Access monitoring and socio-demographic classification of visitors.
Analysis of the various touchpoints within the event, measuring the attractiveness of individual installations or activities and defining the impact of the event on visits to specific city areas.

DATA

  • Number of people present at the event

  • Socio-demographic classification of visitors

  • Hourly turnout matrices

  • Number of visitors per area or installation

  • Classification of visitors by area or installation

  • Measurement of tourist flow

  • Pre and post event analysis