Optimal Path Selection Of Pedestrian Street Lanes In Mountain Towns Based On Physical Energy Consumption

In China,the mountainous area accounts for about 2/3 of the land area,especially in the western region,a large number of towns are located in the mountainous area.Walking is an important way for people to travel.In mountain towns with rolling terrain,walking accounts for about half of the travel.In mountain towns,pedestrian street lanes can support short-distance travel economically and effectively.Due to the dense road network of pedestrian street lanes,in mountain towns,there are often multiple paths between a pair of start and end points.The height difference between the start and end points is large and the energy consumption of pedestrians is large.It is of great significance to study the path selection of pedestrian street lanes in mountain towns based on physical energy consumption.This article summarizes the traffic characteristics of pedestrians from the macro and micro levels,through the field investigation and data collection of pedestrian street lanes in the urban area of Ziyang County,analyzes and studies the pedestrian traffic characteristics and movement trajectories of mountain towns.The obtained basic data was explored and analyzed by using SPSS software,and the relationship function between speed and slope and length was obtained.Using domestic and foreign researches on the literature about pedestrian energy consumption and the influencing factors of pedestrian energy consumption are analyzed.According to the characteristics of pedestrian street lanes,the existing physical energy consumption prediction model is improved and sorted out,and a physical energy consumption prediction model of pedestrian street lane is proposed.Based on the analysis and extraction of road network information,the traditional and emerging algorithms for path selection are summarized,and the commonly used path algorithms are researched and analyzed to determine the physical energy consumption as the goal for pedestrian street lanes in mountain towns.The single-objective optimal path selection algorithm is Floyd’s algorithm and the multi-objective optimal path selection algorithm with physical energy consumption,street light density and pedestrian flow as the artificial bee colony algorithm and Pareto optimal solution.The single-objective optimal path selection that only considers physical energy consumption can guide the pedestrian’s path selection.The artificial bee colony algorithm and Pareto optimal solution are used to select the multi-objective pedestrian street optimal path,which verifies the good stability of the multi-objective path algorithm.Achieve the balance between multiple targets and the artificial bee colony algorithm has fewer control parameters and strong robustness,and it can be applied to the scenario of selecting other targets with slight modification.The optimal path algorithm proposed in this paper has a good guiding significance for the traffic planning and pedestrian system construction of mountain towns and pedestrian streets,and has certain guiding significance for the construction of resilient cities in mountainous areas prone to natural disasters and can also guide pedestrians’ path selection.Finally,based on physical energy consumption of pedestrians,the city’s three-dimensional crossing scheme is compared,and the advantages and disadvantages of the three-dimensional crossing scheme are evaluated from a new perspective.