A study of brake control decision making for driverless vehicles on urban roads

In this paper, the braking control decision of unmanned vehicles on urban roads is investigated in terms of environmental sensing, navigation and positioning, road condition detection and behavioural decision, and wireless networking technology, fusion sensing technology and real-time monitoring technology are used to improve the stability of unmanned vehicle path planning and obstacle avoidance; Using Matlab simulation technology, through simulation experiments and data analysis, it is learnt that braking control decision-making has a good auxiliary role for the decision-making planning of unmanned vehicles in urban roads, which improves the braking performance of unmanned vehicles, improves the efficiency of road access and reduces the occurrence of accidents, and provides an effective reference value for the development of unmanned vehicles.