In recent years many novel applications have appeared that promote the provision of services and activities in a collaborative manner. The key idea behind such systems is to take advantage of idle or underused capacities of existing resources, in order to provide improved services that assist people in their daily tasks, with additional functionality, enhanced efficiency, and/or reduced cost. Particularly in the domain of urban transportation, many researchers have put forward novel ideas, which are then implemented and evaluated through prototypes that usually draw upon AI methods and tools. However, such proposals also bring up multiple non-technical issues that need to be identified and addressed adequately if such systems are ever meant to be applied to the real world. While, in practice, legal and ethical aspects related to such AI-based systems are seldomly considered in the beginning of the research and development process, we argue that they not only restrict design decisions, but can also help guiding them. In this manuscript, we set out from a prototype of a taxi coordination service that mediates between individual (and autonomous) taxis and potential customers. After representing key aspects of its operation in a semi-structured manner, we analyse its viability from the viewpoint of current legal restrictions and constraints, so as to identify additional non-functional requirements as well as options to address them. Then, we go one step ahead, and actually modify the existing prototype to incorporate the previously identified recommendations. Performing experiments with this improved system helps us identify the most adequate option among several legally admissible alternatives.

近年来，出现了许多促进协作方式提供服务和活动的新应用。尤其在城市交通领域，许多研究人员提出并通过AI方法与工具实现和评估新颖的想法。然而，这些提议也引出了多个非技术问题，需要充分识别和妥善解决，如果这些系统真正应用于现实世界。本文从一种协调出租车服务的原型出发，在将其运营的关键方面以半结构化的方式表示后，从当前的法律限制和约束的角度分析其可行性，以识别额外的非功能性要求和解决方案。然后，我们更进一步，实际修改现有的原型以纳入先前识别的建议。通过使用这个改进系统进行实验，我们可以确定在几个合法可接受的选择中最合适的选项。

基于法律分析的高级出租车分配策略优化