Hope: Intelligent Traffic System

An intelligent traffic system can now make future predictions of which route will be the best way for you take to avoid congested roads. In urban areas especially, this traffic system is going to be wildly useful.

While there are many routes a driver can take, it is not easy to predict which one will be the fastest. Researchers have developed an intelligent traffic system which displays information real-time about the best route to take, thereby helping drivers make the best choice on the road. Until recently, traffic information was displayed in the immediate past. The intelligent traffic system has gone one step further and will make real-time future predictions for drivers.

The researchers of a combination of universities such as the Institute of Technology in Georgia and University for Science and Technology of Shanghai have reported results obtained by using the intelligent traffic system. This is known as prediction feedback strategy (PFS). Researchers have shown demonstrations using the PFS and how it controls the flow of traffic. Even if a handful of drivers opt to use this information the traffic congestion will improve considerably. The most significant change that PFS brings about is the data provided on how to prevent traffic congestion in the future.

While feedback from the intelligent traffic system has been applied to systems with a two way route, researchers have attempted at applying it to a three way route, a more complex scenario. According to the model, drivers are given three route options to choose from. In the simulation model, the strategies are based on the overall time taken by the previous vehicle which is determined at the end of travel and the average number of vehicles on a particular road. This is then calculated with vehicles transmitting their location using a GPS to the control centre.

The newest strategy introduced by researchers, the PFS is able to predict road congestion in the future based on road congestion in the present. Compared to the two way strategy or using the model that makes predictions based on the immediate past, the PFS can overcome these other strategies and accommodate increased vehicle capacity. In earlier strategies the driver reported the road condition ahead of him based at the end of the two way route. This strategy will work well as long as there are no vehicles jammed behind the driver. PFS on the other hand, can make future predictions and effects of the route at the end of the traffic system.

As a person who works for an online traffic school I can’t even fathom how much this system can help congested areas I would suspect it would even decrease the amount of car crashes! Stay tuned to the Improv Traffic School blog for more updates on this type of technology.

An intelligent traffic system can now make future predictions of which route will be the best way for you take to avoid congested roads. In urban areas especially, this traffic system is going to be wildly useful.

While there are many routes a driver can take, it is not easy to predict which one will be the fastest. Researchers have developed an intelligent traffic system which displays information real-time about the best route to take, thereby helping drivers make the best choice on the road. Until recently, traffic information was displayed in the immediate past. The intelligent traffic system has gone one step further and will make real-time future predictions for drivers.

The researchers of a combination of universities such as the Institute of Technology in Georgia and University for Science and Technology of Shanghai have reported results obtained by using the intelligent traffic system. This is known as prediction feedback strategy (PFS). Researchers have shown demonstrations using the PFS and how it controls the flow of traffic. Even if a handful of drivers opt to use this information the traffic congestion will improve considerably. The most significant change that PFS brings about is the data provided on how to prevent traffic congestion in the future.

While feedback from the intelligent traffic system has been applied to systems with a two way route, researchers have attempted at applying it to a three way route, a more complex scenario. According to the model, drivers are given three route options to choose from. In the simulation model, the strategies are based on the overall time taken by the previous vehicle which is determined at the end of travel and the average number of vehicles on a particular road. This is then calculated with vehicles transmitting their location using a GPS to the control centre.

The newest strategy introduced by researchers, the PFS is able to predict road congestion in the future based on road congestion in the present. Compared to the two way strategy or using the model that makes predictions based on the immediate past, the PFS can overcome these other strategies and accommodate increased vehicle capacity. In earlier strategies the driver reported the road condition ahead of him based at the end of the two way route. This strategy will work well as long as there are no vehicles jammed behind the driver. PFS on the other hand, can make future predictions and effects of the route at the end of the traffic system.

As a person who works for an online traffic school I can’t even fathom how much this system can help congested areas I would suspect it would even decrease the amount of car crashes!


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