Smart traffic control systems are designed to optimize the flow of traffic in a city to reduce congestion and lower travel times. To achieve this task, smart traffic control systems can utilize a combination of the internet of things, edge computing, and artificial intelligence. These systems range from the addition of new hardware to existing traffic control systems like stoplights, to data collection and processing systems that can predict areas of congestion and change traffic flow through manipulating traffic control infrastructure or directly communicating alternate routes to drivers.
| Corporation | Patents and Published Applications Count |
|---|---|
| 1. Inventor |
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2.
Here Global
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3.
Toyota
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4.
IBM
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5.
Ford
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6.
Inrix
|
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7.
Robert Bosch
|
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8.
Conduent
|
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9.
Intel
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10.
Siemens
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| Categorization and Classification | Patents and Published Applications |
|---|---|
| 790 | |
| 790 Parking and Tolls | |
| 419 | |
| 354 Anomalies , 65 Signals | |
| 412 | |
| 225 Stationary+UAV , 187 Mobile | |
| 479 | |
| 277 Pedestrians/Cyclists , 202 Violations+Enforcements | |
| 2192 | |
| 776 Devices , 645 Model/Predict , 605 Control , 166 Emergencies | |
