Location Optimization Method of Public Charging Station Based on Trajectory Data

As a way of green travel, electric vehicles have significant advantages in protecting the environment and saving resources. However, imperfect charging station location planning will reduce the utilization of charging infrastructure, making it difficult for electric vehicles to charge in a timely and reasonable manner, which will affect the application and promotion of electric vehicles. Therefore, it is very important to plan the location of charging station legitimately. Aiming at the location of public charging stations, this paper proposes a location optimization method for public charging stations, which improves the charging efficiency through scientific and equitable planning of charging station locations and increases the vehicle's mileage on the road. This paper analyzes the driving and charging behavior of drivers from taxi trajectory data, and evaluates the impact of different charging station capacity settings on the positioning results. Among them, we use an immune algorithm to find the best location of public charging station. The experimental results show that the method can make effective decisions in determining the location of charging stations, which helps to provide certain practical significance for the location decision of urban public charging stations.