Optimization of travel route design based on multi-objective planning

This study focuses on optimizing travel route planning to address diverse needs during the journey. We first processed the abnormal part of the city's attractions data, and then made a new function, which can look at the ratings of all attractions, find out the highest score, and then calculate how many attractions in each city can reach this highest score, and finally give the city a ranking according to this number. To choose the best travel route, we must first figure out which criteria to use to evaluate the TOP, such as the city size, the environment is good, the traffic is not convenient, and the local food. When planning the route, we considered several important conditions, such as the travel time cannot be too long, which vehicles to choose, which cities to go to, and to ensure the quality of travel, to go to as many cities as possible, and to minimize the total cost. To solve this problem, we made a multi-objective programming model, using linear weighting and method to make the problem simple, and finally calculated the best route.