As congestion in the city is a major issue cities are turning to smart technologies for traffic management to increase the safety of roads and cut down on wasted energy. This helps drivers and passengers save time, cuts emissions, and reduces traffic jams.
The technology behind it is built on both software and hardware. The first is the subcomponent that executes, while the latter is the command and control center. Both are supported by advanced sensors and processing techniques that include ANPR (automotive license plate recognition) that captures data on vehicle movements and can detect traffic signs.
Depending on which solution is employed, data can be processed on the device by smart traffic lights or sent to cloud. This is a way to perform more sophisticated modeling and analysis to reduce congestion in traffic and to harmonize the schedules of public transport. This way, they can reduce average travel times by 25%, shorten signal wait times by 40%, and decrease emissions by 20% according to Carnegie Mellon University.
A well-designed traffic light system is not only able to reduce the time taken by traffic signals they can also improve the flow of pedestrians and of micromobility vehicles, such as e-bikes or electric scooters. They are unable to adhere to traditional traffic signal preemption laws. In London, e-scooter accidents increased by 2,800% during the first half of 2021. It is therefore important to include them in traffic lights controls.
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