Optimization Model of Airport Bus Line Network Reliability and Algorithm Design

被引：0
作者：
Bao D.-W. [1 ]
Liu J.-R. [2 ]
Gu J.-Y. [1 ]
机构：
[1] Collage of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, Jiangsu
[2] School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, 510640, Guangdong
来源：
Liu, Jian-Rong (ctjrliu@scut.edu.cn) | 1600年 / South China University of Technology卷 / 45期
基金：
中国国家自然科学基金;
关键词：
Airport bus; BP neural network; Genetic algorithm; Line network optimization; Travel time reliability;
D O I：
10.3969/j.issn.1000-565X.2017.08.013
中图分类号：
学科分类号：
摘要：
In order to quantify the reliability of airport bus line networks, a reliability prediction model of the airport bus travel time is constructed based on the BP neural network. Next, an optimization model of the airport bus line network is constructed, the objective of which is to maximize the reliability, and such constraints as time, sites and services are taken into account. Then, the Hill-climbing algorithm is adopted to achieve the initial solutions for the lines, and a fitness function based on the reliability is established. Finally, a hybrid genetic algorithm with different mutation and crossover rates is designed to solve the constructed optimization model. Case study results show that (1) during peak hours, the reliability of the bus line network at Nanjing Lukou International Airport is only 0.62, the reliability of inner city roads is about 15% lower than that of outer city roads, and the overall reliability is at a low level; (2) the optimization process through the hybrid genetic algorithm is greatly affected by the crossover and mutation rates, and lower crossover rate and higher mutation rate can increase the instability of the optimization process; and (3) when the crossover rate is 0.9 and the mutation rate is 0.05, the objective function value of the constructed optimization model is 0.79, and the reliability is 11.5% higher than that before the optimization, which means that the optimization effect is significant. This method provides a scientific basis for the optimization of the bus line network of airports and the corresponding efficiency improvement of the external transport services. © 2017, Editorial Department, Journal of South China University of Technology. All right reserved.
引用
收藏
页码：84 / 91
页数：7
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