ABSTRACT

Understanding the value of travel time for mobility concepts based on self-driving vehicles is crucial to accurately value transport investments and predict future travel patterns. In this paper, we carry out a morphological analysis to illustrate the diversity of mobility concepts based on self-driving vehicles and the complexity of determining the value of travel time for such concepts. We consider four categories of parameters that directly or indirectly impact the value of travel time: (i) vehicle characteristics, (ii) operating principles, (iii) journey characteristics and (iv) traveler characteristics. The parameters and respective attributes result in a morphological matrix that spans all possible solutions. Out of these, we analyze five plausible solutions based on the implications of the concept characteristics on the total value of travel time. We conclude by suggesting an alternative approach to differentiate value of travel time based on travel characteristics rather than the usual decomposition into transport modes.

摘要

了解旅行时间对基于自动驾驶汽车的机动性概念的价值，对于准确评估运输投资和预测未来的旅行方式至关重要。在本文中，我们进行了形态分析，以说明基于自动驾驶车辆的出行概念的多样性以及确定此类概念的出行时间价值的复杂性。我们考虑直接或间接影响行程时间值的四类参数：（i）车辆特性，（ii）运行原理，（iii）行程特性和（iv）旅行者特性。参数和各自的属性会生成一个涵盖所有可能解的形态矩阵。在这些之中，我们基于概念特征对旅行时间总价值的影响，分析了五个可行的解决方案。我们通过提出一种替代方法来得出结论，该方法可根据出行特征而不是通常的分解成运输模式来区分出行时间。