Bus timetable optimization model in response to the diverse and uncertain requirements of passengers for travel comfort
Artikel i vetenskaplig tidskrift, 2023

Most existing public transit systems have a fixed dispatching and service mode, which cannot effectively allocate resources from the perspective of the interests of all participants, resulting in resource waste and dissatisfaction. Low passenger satisfaction leads to a considerable loss of bus passengers and further reduces the income of bus operators. This study develops an optimization model for bus schedules that considers vehicle types and offers two service levels based on heterogeneous passenger demands. In this process, passenger satisfaction, bus company income, and government subsidies are considered. A bilevel model is proposed with a lower-level passenger ride simulation model and an upper-level multiobjective optimization model to maximize the interests of bus companies, passengers, and the government. To verify the effectiveness of the proposed methodology, a real-world case from Guangzhou is presented and analyzed using the nondominated sorting genetic algorithm-II (NSGA-II), and the related Pareto front is obtained. The results show that the proposed bus operation system can effectively increase the benefits for bus companies, passengers, and the government

pareto front

nondominated sorting genetic algorithm-II

multiple service levels

bus timetable

Författare

Peiqun Lin

South China University of Technology

Chenxing He

Harbin Institute of Technology

South China University of Technology

Lingshu Zhong

Chalmers, Arkitektur och samhällsbyggnadsteknik, Geologi och geoteknik

Mingyang Pei

South China University of Technology

Chuhao Zhou

South China University of Technology

Yang Liu

Chalmers, Arkitektur och samhällsbyggnadsteknik, Geologi och geoteknik

Electronic Research Archive

26881594 (eISSN)

Vol. 31 4 2315-2336

Ämneskategorier

Annan data- och informationsvetenskap

Transportteknik och logistik

Övrig annan teknik

DOI

10.3934/era.2023118

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Senast uppdaterat

2023-04-12