SDIV: Service-defined intelligent vehicle towards the 2020 urban mobility

Abstract

This paper explores a new approach to the design and development of the future intelligent vehicle from the aspect of service innovation, by which the mobility service and intelligent vehicle could be integrated within the same context and objective. For this purpose, contexts, stages, stakeholders, and the types of data are used as the key elements to generate the service opportunity points. A four-dimension space constructed with these elements is adopted as an effective tool, which is helpful for considering the diversity and interactivity of the elements. Thus, 136 opportunity points are produced and used as the factors to define the vehicles. A theory from the Center of Automotive Research (CAR) is referenced to build the travelling model map. It describes nine travelling modes distributed in flexible/distance coordinates, and each of the modes is represented by an intelligent vehicle. The travelling model map is divided into nine sections by a three-by-three matrix, and the opportunity points are plotted into the corresponding section. In this way, a connection is established between opportunity points and the intelligent vehicles. Based on this theory, seven intelligent vehicles are endowed with respective characteristics and defined by services with similar properties. Finally, by studying the user journey of each service-defined intelligent vehicles (SDIVs) and analyzing the use case through the touchpoints/vehicles matrix, the features of SDIVs are furthered detailed and reflected by the interface design.