At present, although the exclusive delivery navigation for delivery personnel implemented by major food delivery platforms has basic navigation functions, it is still insufficient in terms of optimizing navigation details and ensuring the safety of delivery personnel. Aiming at the problem that the food delivery route planned by the food delivery platform does not meet the actual traffic demand and the average delivery time allocated by the platform is too short, this system is based on the traditional ant colony algorithm and fully considers the traffic lights and road impassability that the food delivery personnel may encounter on the way and the platform route planning does not consider the actual traffic demand and other common problems. By adding the corresponding constraints of the ant colony algorithm, the delivery staff's takeaway navigation path can be carried out in a way that is more in line with actual safety and traffic rules. The system is equipped with real-time road condition monitoring and voice broadcast navigation functions to find the optimal route for takeaway delivery under the premise of ensuring the delivery safety of takeaway workers.
With the rapid development of the social economy, take-out food service has gradually developed and popularized. While take-out service provides dining convenience for the dining group, the over speed delivery behavior of take-out deliverers also brings traffic safety risks to society. In order to avoid the delivery in the process of over speed driving electric motorcycle crash or other traffic safety accidents, This paper designs a set of early warning and obstacle avoidance system for distribution vehicles from two aspects of automatic early warning and automatic obstacle avoidance. At the same time, the feasibility of early warning and obstacle avoidance is verified by the joint simulation of simulink software and carsim in matlab. When there is a dangerous situation in the delivery process, the system will give an early warning to extend the reaction time of the delivery workers, and realize the automatic obstacle avoidance function of the delivery vehicles through the automatic obstacle avoidance system to ensure the traffic safety in the delivery process.
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