Non-Motor Lane Decision-Making Optimization Model Considering Dynamic Flow Distribution

With the increasing demand for people’s travel,the popularity of shared bicycles,and the development of the express delivery industry,the demand for non motorized transportation in cities is increasing day by day.However,due to terrain factors,the demand for non motorized vehicles varies greatly among different cities.The prototype city of Ruping has a flat terrain and a large number of non motorized vehicle trips,naturally requiring the establishment of a comprehensive non motorized vehicle lane system.However,in hilly and mountainous cities,the terrain is undulating and the volume of non motorized vehicle travel is small.If each road is equipped with non motorized vehicle lanes,it is obviously costly,inefficient,and resource wasteful;If they are not set up and cannot meet their necessary needs.Therefore,based on the specific needs of non motorized vehicles in the road network,it is particularly necessary to make decisions on which roads should have non motorized vehicle lanes and which roads should not have them and adopt a pedestrian non motorized vehicle shared access mode,in order to achieve maximum satisfaction of non motorized vehicle travel needs while not excessively increasing road construction costs.Considering the conditions for setting up non motor vehicle lanes and their impact on motor vehicle and pedestrian traffic,three construction modes are proposed,namely: no setting,occupying motor vehicle lane markings,and widening and marking the road.Define decision variables for different construction modes as optimization variables.Drawing on the classic multi-path capacity limited traffic allocation model,the non motorized vehicle flow is dynamically allocated after each update of the road network plan.Define the impedance functions of motor vehicles,non motor vehicles,and pedestrians for different construction modes to measure the travel costs of different objects under different conditions.Introduce a time value conversion coefficient and establish an objective function with the objective of minimizing the sum of travel costs and construction costs.Establish constraints by considering road saturation and construction cost factors.Design a solution algorithm for the optimization model based on the idea of genetic algorithm.Conduct case studies using genetic algorithms and enumeration algorithms to solve the optimization model,and obtain the non motorized lane construction plan for the regional road network.Compare and analyze the efficiency of algorithm solving and the cost difference before and after optimization.The case results show that the model and algorithm can obtain an approximate optimal solution with an error of 3.3%after fewer iterations and time;Compared with before optimization,the construction cost of non motorized vehicle lanes increased by 900800 yuan,the travel cost decreased by 47.5%,and the total cost decreased by 34.9%.Research has shown that the decision optimization model for non motorized vehicle lanes is constructed based on the principle of system optimization,which can significantly reduce travel costs without excessively increasing the construction cost of non motorized vehicle lanes,and maximize the adaptability to the needs of non motorized vehicles on different road sections.