Exploration Of Demand-Responsive Public Transit Path Planning Problem In The Context Of Passenger-Freight-Express Integration

Traditional passenger transportation in rural areas faces challenges in adapting to market changes and meeting user needs due to its limited coverage and low service level.Demandresponsive passenger transportation systems,which offer diversified services and flexible coverage,have been proposed as a key solution for the future development of rural passenger transportation,capable of filling the gaps left by traditional systems.However,high operating costs have limited their widespread adoption in rural areas.To achieve high-quality and costefficient rural transportation services,the Ministry of Transport advocates for the integration of passenger,freight,and mail modes.Based on this background,this thesis proposes a passenger-cargo-mail integration transportation model using demand-responsive public transportation as the carrier,and develops a corresponding demand-responsive route planning model.An improved genetic algorithm is designed and applied to solve the model,which is validated through a case study in Ahu Town,Xuzhou City,Jiangsu Province.Based on the results,a bus intelligent scheduling system is designed and implemented.Firstly,the thesis presents graphical definitions of demand-responsive passenger transportation and passenger-cargo-mail integration models,analyzing their development status and problems in detail.It then explores the feasibility of merging them to better integrate resources such as passenger transportation,mail,express delivery,and community group purchase.A responsive transportation system is proposed,integrating passenger,freight,and mail integration demand,based on the passenger car piggyback express mode and hub feeder passenger transportation system.Secondly,the thesis constructs the demand-responsive path planning model considering passenger,cargo,and mail integration demand,with the objective function of maximizing the profits of the operating enterprise,while taking into account vehicle capacity,time window constraints,etc.The model integrates both rural passenger transportation and rural freight transportation,solving the logistics problems of rural express pickup and delivery,household goods group purchase,etc.,while meeting the travel demand of rural residents.An improved genetic algorithm is used to solve the model more effectively.Finally,the paper applies the constructed model and the designed genetic algorithm to Ahu Town in Xinyi City,taking into account the actual situation.A detailed analysis of algorithm and model validity is then carried out based on the solution results.The analysis shows that implementing a responsive transportation system that integrates passengers,cargo,and mail can increase total revenue by 469%,compared to a transportation system that only considers passengers.A validity analysis of the model supports this finding.The improved genetic algorithm also proved to be more effective than the traditional one in terms of both solution accuracy and convergence efficiency.To verify the practical applicability of the responsive transportation system,a integrated passenger-freight-mail public transportation system is designed and implemented based on the demand-responsive path planning model and improved genetic algorithm,analyzing its requirement,development environment,architecture,function modules design,and implementation.