Streamlining Advanced Taxi Assignment Strategies based on Legal Analysis

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