MIT's Algorithm Reduces Realtime Road Collisions
For stepping up the vehicle safety measures employed on road, #-Link-Snipped-# to track down the cases of road accidents and bring a gradual decrease in road collisions at intersections. It is expected to run better than other existing algorithms present and used elsewhere. The paper in this regard was published in IEEE journal titled Transactions on Intelligent Transportation Systems.
According to <a href="https://www.nhtsa.gov/" target="_blank" rel="nofollow noopener noreferrer">NHTSA | National Highway Traffic Safety Administration</a> it is observed that around ten percent of the total road accidents occur at intersections. Half of them are because of rash driving and running during red signals. Most of the people dying in these accidents are those who have no fault and are driving safely. Hence it becomes a top priority to reduce the unintended accidents and make driving a bit safer.
#-Link-Snipped-#
Image Credit: ExtremeTechClub
The algorithm is developed under the guidance of Jonathan How, the Richard Cockburn Maclaurin Professor of Aeronautics and Astronautics at MIT and Georges Aoude SM ’07, PhD ’11 also a student of How. The algorithm so developed by them raises minimum false alarms. The technology is successfully utilized in many #-Link-Snipped-# and is the first time getting integrated in transportation field.
The algorithm analyses parameters like distance, velocity of the incoming vehicle and the direction that a vehicle might turn and alerts you on the possible decisions that you need to take. It may so happen that even though your signal is green, the algorithm may still suggest you to wait a while as some other driver may be breaking in the intersection during his red end. The algorithm also talks of V2V communication which means that the #-Link-Snipped-# to inform each other's position. Collecting data at one of the busiest intersection in Virginia, MIT research team gathered data of some 15000 vehicles and found out that the algorithm developed by them responded to 85% accurate cases of running in a red signal.
The inherent advantage of raising minimum false alarm turns off the possibility of irritating the driver which may result in him shutting down the system completely and jeopardizing his life. Researchers also found out the golden timing at which the devised system was most accurate. The MIT team concluded that a 1-2 seconds prior intimation would be more than enough to react to such situations; at least a fatal casualty can be avoided. Let us see how this algorithm on intelligent transportation system is employed in next generation smart car.
According to <a href="https://www.nhtsa.gov/" target="_blank" rel="nofollow noopener noreferrer">NHTSA | National Highway Traffic Safety Administration</a> it is observed that around ten percent of the total road accidents occur at intersections. Half of them are because of rash driving and running during red signals. Most of the people dying in these accidents are those who have no fault and are driving safely. Hence it becomes a top priority to reduce the unintended accidents and make driving a bit safer.
#-Link-Snipped-#
Image Credit: ExtremeTechClub
The algorithm is developed under the guidance of Jonathan How, the Richard Cockburn Maclaurin Professor of Aeronautics and Astronautics at MIT and Georges Aoude SM ’07, PhD ’11 also a student of How. The algorithm so developed by them raises minimum false alarms. The technology is successfully utilized in many #-Link-Snipped-# and is the first time getting integrated in transportation field.
The algorithm analyses parameters like distance, velocity of the incoming vehicle and the direction that a vehicle might turn and alerts you on the possible decisions that you need to take. It may so happen that even though your signal is green, the algorithm may still suggest you to wait a while as some other driver may be breaking in the intersection during his red end. The algorithm also talks of V2V communication which means that the #-Link-Snipped-# to inform each other's position. Collecting data at one of the busiest intersection in Virginia, MIT research team gathered data of some 15000 vehicles and found out that the algorithm developed by them responded to 85% accurate cases of running in a red signal.
The inherent advantage of raising minimum false alarm turns off the possibility of irritating the driver which may result in him shutting down the system completely and jeopardizing his life. Researchers also found out the golden timing at which the devised system was most accurate. The MIT team concluded that a 1-2 seconds prior intimation would be more than enough to react to such situations; at least a fatal casualty can be avoided. Let us see how this algorithm on intelligent transportation system is employed in next generation smart car.
0