The MIT team conducted the experiment, one vehicle is human controlled and the other vehicle is controlled by intelligent transportation system means it is autonomous.
Of late there have been many developments in the arena of accident controlled and management avoidance systems in cars such as automated cruise control, radar or laser based control, blind spot warning systems etc. The problems with these systems, these are only done inside the car but cannot be managed over surrounding cars. This means these systems are not completely error free as one cannot have complete control over the surrounding cars. So, the resultant is accident avoidance is not error free. MIT engineers are working on the intelligent transportation system algorithm, it consider4s the human driving behavior and warns before hand the possible collisions and then control the vehicle concerned to prevent the possible crash.
The driving actions of humans depend upon two basic steps acceleration and braking. The predictive models of human behavior determine when the driver will slow down or speed up and makes an intersection, it is a new algorithm and is being under development by MIT team consisting of Rajeev Varma and Domitilla Del Vecchio , that can calculate the capture set which is the possibility of defend area of two vehicles have a high possibility of collision. It uses its on board sensors through the intelligent transportation system a well as censors such as traffic lights and predict what other cars can do in such situation. If both the cars are intelligent transportation system then the entire process is more and more simple as the communication between the cars and their censors are possible.
The MIT team conducted the experiment, one vehicle is human controlled and the other vehicle is controlled by intelligent transportation system means it is autonomous. The human driven vehicle is controlled by eight different mentality drivers having completely different behaviors. Thus the simulation of different human behaviors is there for the experiment. Out of one hundred trials there are ninety seven collisions avoidance by this intelligent transportation system. This shows this technology has still loopholes and other negative points of concern are when this technology will be implemented in real world then the actual correct percentages will be observed. As in real situation there are still more and more environment variables which can act against this intelligent transportation system. But still there are lots of technological developments are there and lots of positives out of it. Variable environment dynamics while driving like pedestrians, obstacles, animals, , so in this manner a multiple possible collision causing cars can emerge and in this circumstance how intelligent transportation system will work Is of significant choice. It will test whether intelligent transportation system is robust enough to sustain these possible collision causing cars.
In the future the integration of driver real time data and actively controlling the cars instead of driver by intelligent transportation system and in these circumstances only the passive warning system will only work. Another option is to speed up the car automatically through these systems in order to avoid the possible collision avoidance.