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Economic Aspects of Driving Various Types of Vehicles in Intelligent Urban Transport Systems, Including Car-Sharing Services and Autonomous Vehicles
Applied Sciences ( IF 2.838 ) Pub Date : 2020-08-12 , DOI: 10.3390/app10165580
Katarzyna Turoń , Andrzej Kubik

Nowadays, the concept of new mobility solutions like shared mobility systems is becoming more and more popular in current transport systems. The next technological step will be the idea of replacing traditional vehicles with autonomous ones. Because autonomous vehicles are a new concept in the automotive market, we dedicated this article to the idea of using autonomous vehicles as a part of car-sharing systems in intelligent, urban transport systems. The research herein is focused on the economic aspects of using autonomous vehicles in comparison to the classic car fleet available in car-sharing systems and to vehicles that belong to individual owners. We present our method for appropriate fleet selection based on the Delphi method and the calculations made through a scientific experiment performed based on Hartley’s plan. The results indicate the relation of travel parameters (including vehicle type) to the total cost of travel in urban transport systems. We also present the main terms related to autonomous vehicles. This article provides support for people who want to deepen knowledge about autonomous vehicles and new mobility solutions used in urban transport systems.

中文翻译:

在智能城市交通系统中驾驶各种类型车辆的经济方面,包括汽车共享服务和自动驾驶汽车

如今,诸如共享出行系统之类的新出行解决方案的概念在当前的运输系统中变得越来越流行。下一步技术将是用自动驾驶汽车代替传统汽车的想法。由于自动驾驶汽车是汽车市场中的一个新概念,因此我们将本文专门介绍了将自动驾驶汽车用作智能城市交通系统中汽车共享系统的一部分的想法。与共享汽车系统中的经典车队以及属于个人拥有者的车辆相比,本文的研究集中于使用自动驾驶汽车的经济方面。我们提出了基于德尔菲方法进行舰队选择的方法,以及根据哈特利计划进行的科学实验得出的计算结果。结果表明出行参数(包括车辆类型)与城市交通系统出行总成本之间的关系。我们还将介绍与自动驾驶汽车相关的主要术语。本文为希望加深对自动驾驶汽车知识和城市交通系统中使用的新型出行解决方案的人们的支持。
更新日期:2020-08-12
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