Optimization for Feeder Bus Route Model Design with Station Transfer

Yi Cao,Shan Wang,Dandan Jiang

doi:10.3390/su14052780

Abstract

To fully take the advantages of conventional bus and subway, and to maximize the overall feeder efficiency of the public transport system, the topic of feeder bus route optimization is studied in this paper. Considering the origin destination demand of passenger flow between subway stations and bus stations and transfer characteristics, the objective function is established with the minimum sum of bus operation cost and passenger travel cost. Taking into account the integrity of the feeder bus route, the rationality of the route, the route capacity and the station transfer factors, the constraints of the optimization model are constructed. Based on the idea of the genetic algorithm, the solution algorithm of the optimization model is developed. The genetic algorithm and enumeration algorithm are used to solve the optimization of the feeder bus route in this case, and the accuracy and efficiency of the solution are analyzed. The influence of the number of feeder bus routes on the system in the case network is compared and discussed. We compare and analyze the differences between the original bus network and the feeder bus network in terms of bus operation cost, passenger flow demand and total passenger travel cost. The research shows that the model and algorithm can find the approximate optimal solution of the feeder bus network scheme related to the subway through fewer iterations. The number of routes in the model has little impact on the whole feeder system, and the optimization scheme using five routes is effective and reasonable in this paper. Compared with the existing bus network, the optimization scheme has obvious advantages in improving the passenger-carrying rate, reducing the per capita travel cost and improving the overall operation efficiency of the system.

Highlights

In the traditional study of the feeder bus, the starting point of the feeder bus route is the bus station, and the ending point is usually fixed as the subway station [8,12]
As for passenger travel cost, transfer factors are not considered in some studies on the optimization of feeder bus routes [19], and transfer factors are introduced in other studies, but some tend to reduce waiting time by optimizing walking distance, departure interval and timetable [10,20] so as to reduce transfer cost
This paper considers the impact of station transfer and makes it clear that the generation of different route schemes will change the transfer choice, and the transfer at different stations will make the routes of passengers more diversified, resulting in different travel costs

Summary

Introduction

Compared with the subway, the conventional bus has a small capacity and slow speed, it has the advantages of low cost, strong accessibility and wide coverage. It can still maintain a long-term competitive and cooperative relationship with the subway. Studying the optimization of subway connecting bus lines can build a perfect connecting bus service system, give full play to their advantages, expand cooperation and reduce competition. It can create convenient conditions for residents to travel and attract more residents to choose buses or subways

Methods

Discussion

Conclusion