Smart Technologies for Traffic Management
technologytraffic.com/2021/07/08/generated-post/
Controlling traffic on the road isn’t easy, particularly in cities that are crowded. Overcrowding leads to delays, accidents, and environmental degradation. Smart technologies can help motorists and pedestrians get to where they need to go efficiently and safely.
IoT technology permits the collection of information to improve urban mobility transportation systems, parking facilities. These data can be used to make decisions regarding reducing traffic, increasing safety, efficiency, and increasing economic sustainability.
If a traffic signal detects that more vehicles are approaching from one direction than the other, it will automatically adjust its timing to better serve the drivers. This reduces time and fuel for motorists, and decreases the carbon emissions of idle vehicles. Another example is intelligent traffic lights that utilize machine learning to adjust their timings in line with the current road conditions, like traffic jams or construction zones. This can significantly reduce traffic flow interruptions, and can cut driver travel time by 10 percent or more.
These technologies can aid city planners avoid costly infrastructure improvements, as well as overcrowding. They can also identify structural issues, such as bridges that are unsafe or under construction. They can also aid emergency vehicles to get on the road in a short time. Each minute an ambulance or firetruck delays its route to a traffic collision can drastically reduce the chance of survival for the victims.
But to enable these and other smart traffic technologies to operate effectively, they need an efficient, secure and robust network infrastructure. Spectrum Enterprise offers the connectivity required to power IoT sensor systems in smart traffic management systems, and also the interfaces that provide actionable information.
