Shared Bicycles Based On Changes In Subway Network Demand Tides Delivery Optimization Research

After the emergence of shared bicycles in 2016,large-scale release and use have been realized in a short period of time.At the same time,shared bicycles have excellent low-carbon emission reduction properties,alleviating congestion in big cities,improving travel efficiency,and significantly reducing congestion time.At the same time,shared bicycles can be used in conjunction with public transportation such as subways to meet the connection of citizens’ public transportation and the whole process,and provide people with a new choice of green,safe and convenient travel.However,the rapid growth of shared bicycles has also brought negative impacts.The total amount of vehicles sold is seriously surplus.At the same time,there are problems such as weak enterprise on site operation and maintenance.Major cities have gradually begun to control the total amount of shared bicycles.The placement layout is an important factor that affects the operation effect of shared bicycles.Solving the problem of shared bicycles is an important direction to realize the rational allocation of shared bicycle resources and the healthy development of the industry.It is also the only way for urban construction.The main contents includes:First,analyze the factors affecting the release of shared bicycles at subway stations,presenting it from four aspects:user attribute characteristics and riding time and space characteristics,subway node types and other public transportation influencing factors.At the same time,the subway stations are classified and summarized.For its characteristics,the impact of the built environment around the subway station on the single-vehicle delivery capacity is studied.The analysis found that user tide demand is an important factor that affects the demand for shared bicycles on subway nodes,the characteristics of passenger flow at each station and the similar passenger flow rules among some stations,and rail transit stations can be classified based on this.At the same time,the subway node’s carrying capacity for shared bicycles.including policy factors,including the amount of delivery,also has an important impact on the maximum and minimum delivery of shared bicycles at the site.Policy factors also determine the total delivery volume of the entire city,thereby limiting the participation in the delivery.The total number of bicycles.Second,the objective function,constraints,and input parameters of the shared bicycle delivery optimization model are determined,and an integer with the maximum total delivery volume of the route,the highest and lowest delivery volume at the site as the constraint conditions,and the maximum total utility of the company’s delivery of bicycles is established as an integer.Linear programming model.Finally,based on the MATLAB software to measure the amount of site placement and the total utility value generated by the company’s bicycle placement,the site placement results obtained by the traditional algorithm are compared with the optimization algorithm to prove the ease of use and accuracy of the model.A summary of the used algorithms and research cases can confirm that user tidal demand is an important factor affecting the demand for shared bicycles at subway nodes.Compared with the amount of station placement calculated by traditional allocation methods,the results of the optimization model are more suitable for the actual placement process.Putting constraints and conditions,the utility is obviously increased,and the efficiency of bicycle utilization can be improved.