Traffic Pattern Prediction
Service Overview
Having information about traffic flow is necessary for individual travellers and the government. For this reason, we developed an Artificial Intelligence system to analyse traffic volume and patterns to provide accurate traffic and travel time predictions.
The A.I.-based traffic prediction solution uses machine learning to collect a large and diverse amount of information about traffic conditions: traffic light systems, vehicle speeds, traffic flow, and risky situations such as accidents. It also classifies vehicle type, from cars to trucks. This smart service can help road users make better travel decisions and reduce traffic congestion.
Application Areas
Smart Cities |
Specific Service Features
| Vehicle classification (4 classes) pedestrian | |
| Vehicle flow matrix identification (Origin / Destination) | |
| Average travel speed computation | |
| Optimization of the waiting times for each route | |
| Road section configuration through SmartEye Configurator | |
| Display info through SmartEye Analytics | |
| Full edge computing | |
| Historical data and statistics | |
| Open API | |
| Downloading Data |
Included in the Service
| Vehicle classification (6 classes) | |
| Parking identification | |
| Weather conditions | |
| Real time video | |
| Playback video | |
| Archiving and saving videos on request |
SmartEye Analytics Software
SmartEye Analytics is the accessible dashboard for remote scene monitoring, receiving real time alerts and managing data obtained from our sensors. The Client can benefit from the following features:
| Direct connection with SmartEye Configurator | |
| Multiple users account for simultaneous access | |
| Remote sensor monitoring and control | |
| Real-time video streaming | |
| Automatic alerts and reports | |
| Alert management | |
| Installations map view | |
| API integration | |
Downloadable Contents
Traffic Prediction Flyer
Traffic Prediction
Service Overview
Having information about traffic flow is necessary for individual travellers and the government. For this reason, we developed an Artificial Intelligence system to analyse traffic volume and patterns to provide accurate traffic and travel time predictions.
The A.I.-based traffic prediction solution uses machine learning to collect a large and diverse amount of information about traffic conditions: traffic light systems, vehicle speeds, traffic flow, and risky situations such as accidents. It also classifies vehicle type, from cars to trucks. This smart service can help road users make better travel decisions and reduce traffic congestion.
Application Areas
Smart Cities |
References
| | Roma (+67) |
| Cagliari (+20) | |
| Potenza (+6) | |
| Piacenza | |
| Brescia (+6) | |
| Bologna(+2) |
Service Main Features
| Vehicle classification (4 classes) pedestrian | |
| Vehicle flow matrix identification (Origin / Destination) | |
| Average travel speed computation | |
| Optimization of the waiting times for each route | |
| Road section configuration through SmartEye Configurator | |
| Display info through SmartEye Analytics | |
| Full edge computing | |
| Historical data and statistics | |
| Open API | |
| Downloading Data |
Service Options
| Vehicle classification (6 classes) | |
| Parking identification | |
| Weather conditions | |
| Real time video | |
| Playback video | |
| Archiving and saving videos on request |
SmartEye Analytics Software
SmartEye Analytics is the accessible dashboard for remote scene monitoring, receiving real time alerts and managing data obtained from our sensors. The Client can benefit from the following features:
| Direct connection with SmartEye Configurator | |
| Multiple users account for simultaneous access | |
| Remote sensor monitoring and control | |
| Real-time video streaming | |
| Automatic alerts and reports | |
| Alert management | |
| Installations map view | |
| API integration | |