Abstract
Urban public transport is an effective way to solve urban traffic problems and promote sustainable development of urban traffic. A scientific operation scheduling system has an important guiding significance for optimizing the configuration of urban public transport capacity resources, improving the level of operation organization and management, and providing for the sustainability of the transportation system. According to the inhomogeneous distribution of passenger flow along transit lines, this study develops a combinational scheduling model in which the enterprise supplies zonal service based on regular service. The objective function minimizes the sum of passenger travel cost and operation cost, and the simulated annealing algorithm is designed to solve the optimization model. This paper abstracts an ideal example by taking a real-world case of Bus Line 131 in Lanzhou, China. The numerical example is used to verify the validity of the model and algorithm. Results show that the combinational operation scheme can effectively satisfy passengers’ demand and reduce the total cost by 7.03% in comparison with the regular operation system. The optimal combinational system with the lowest total cost can increase the vehicle load factor and improve the utilization ratio.
Highlights
The scale of cities has continued to expand in China, and the living space of residents has become widely dispersed, resulting in increasing spatial imbalance in passenger travel
* The results show that the combined operation scheduling scheme can better match the transport capacity and the demand of passenger flow
We develop a combinational scheduling model to minimum the total cost for a combinational scheduling mode, the decision variables of the minimization problem are (Su, Sv, f1,f2,C1,C 2 )
Summary
The scale of cities has continued to expand in China, and the living space of residents has become widely dispersed, resulting in increasing spatial imbalance in passenger travel. Conventional public transit plays an important role in urban public transportation. For passenger flow corridors with uneven distribution of passenger flow along the line, the traditional single dispatching mode results in higher load rate and overcrowded passengers in the maximal section of passenger flow. The problem of lower load rate and wasted transport capacity occurs in the minimal section of passenger flow. The combined scheduling mode of zonal vehicles must be studied to improve the match between passenger flow and transport capacity according to the spatial distribution characteristics of passenger flow along the line. The major contributions of this paper can be summarized into the following ingredients:
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
