| dc.description.abstract | The present society is the era of Internet, connected vehicles or traffic management systems receive information from the sensors of other vehicles or the surrounding environment, fixed infrastructure, etc., and then take corresponding actions. In the information transmission of autonomous vehicles and intelligent traffic signals, the current technology is to detect the front light signal according to the vehicle system, so that the driver can predetermine the force of the accelerator, and then progression or deceleration behavior according to the camera and sensor .
Nowadays, the transmission range of communication technology is able to receive the signal information at a farther position, and the cycle time can be known in advance, and it can be judged whether the intersection can be passed at the current rate, and the system can directly control the system to adjust the speed of the autonomous vehicle to improve road traffic flow.
In this study, a connected autonomous vehicle can receive signal information in advance and adjust the driving speed according to it to make it pass the intersection to the maximum extent without stopping, establish a speed model and control strategy, and define the speed and acceleration/deceleration range. Perform various analyses for different receiving positions and red light seconds, and control the results under different red light situations to control the autonomous vehicle to pass signalized intersections, reduce the stop time caused by red lights, and can Increase the probability of passing the intersection. | en_US |