文章基本信息

标题：An Ant-based Intelligent Design for Future Self-driving Commercial Car Service Strategy
本地全文：下载
作者：Lin, Jian ; Saleem, Naveed ; Etnyre, Vance Allen 等
期刊名称：Journal of International Technology and Information Management
印刷版ISSN：1941-6679
出版年度：2020
卷号：29
期号：3
页码：102-121
出版社：California State University, San Bernardino
摘要：The technology of self-driving cars will inevitably change the industry of taxis and ride-sharing cars that provide important commercial ground transportation services to travelers, tourists and local residents. There is no doubt that new techniques, business models and strategies will be needed to follow the use of self-driving cars. This paper focuses on a forward-looking research topic that route commercial, vacant self-driving vehicles so that the values to both businesses and passengers are improved. Importance of solutions to the new problem is discussed. We also propose a novel design which simulates behaviors of ants in nature to the vehicles. The goal of the system is to obtain an overall balance between the demands of using the services from the passengers and availability of the vehicles in all service areas. The system not only uses historical data to make decisions, it also responds promptly for demands appeared dynamically.
关键词：Self-driving car; ant colony optimization; algorithms; vehicle routing