A Guided Path Planning Model for Urban Tourist Attractions Considering Multiple Objectives

With the gradual disappearance of COVID-19, tourism has started to heat up again, more and more people are choosing self-drive tours. In order to guide people to reach tourist attractions quickly and conveniently, a guided path planning model for urban tourist attractions considering multiple objectives is proposed. The model is based on the traffic topology network, and considers length of the guided path, number of guide signs and traffic saturation as the objectives, and defines the guided path with the lowest combined value as the optimal guided path. Then, starting from a given entrance, the initial path to the tourist attractions is coded by genetic algorithm, and the optimal guided path is dynamically updated through selection, crossover and variation operations until the iteration is completed. And then, guide signs are deployed along the optimal guided path. Finally, taking Guangzhou Higher Education Mega Center as the test area, the optimal guided path for deployment of guide signs from Nansha Port Expressway exit to Lingnan Impression Park is obtained using the aforementioned model, and compare it with the shortest distance path displayed by the navigation. The comparative results show that the model is effective and feasible, and can provide technical support for construction of guide signs in actual engineering projects.