ETC proportional adjustment model based on queuing theory in the case of unmanned vehicles

With the continuous breakthroughs of unmanned vehicle technology, a increasing number of unmanned vehicles will be added to the current traffic system. How will the above situation influence the traffic, and how will we change the existing traffic system design program to help unmanned technology to improve people's travel efficiency in a better way, have become urgent problems to be solved. In this paper, the model of Queuing Theory is applied to simulate and calculate the number of lanes of different toll stations, on which basis, the optimal proportional adjustment model of ETC (Electronic Toll Collection) is obtained. Finally, the results of sensitivity analysis of the model show that it has an excellent robustness and reliability.