An Explainable Knowledge-based AI Framework for Mobility as a Service

Abstract

Mobility as a Service (MaaS) is a relatively new domain where new types of knowledge systems have recently emerged. It combines various modes of transportation and different kinds of data to present personalized services to travellers based on transport needs. A knowledge-based framework based on Artificial Intelligence (AI) is proposed in this paper to integrate, analyze, and process different types of mobility data. The framework includes a knowledge acquisition process to extract and structure data from various sources, including mobility experts and add new information to a knowledge base. The role of AI in this framework is to aid in automatically discovering knowledge from various data sets and recommend efficient and personalized mobility services with explanations. A scenario is also presented to demonstrate the interaction of the proposed framework's modules.

A Knowledge-Based AI Framework for Mobility as a Service

“…In particular, we propose a knowledge-based AI framework covering procedures for data collection, extraction, inference, recommendations and explanations and using a knowledge base and rule-based system to deliver smart mobility services to service providers, drivers, travellers, and other mobility users. This paper is an extension of our previous short study [8], by implementing the framework leveraging synthetic data with a presented scenario. This framework covers procedures for data collection, knowledge extraction, inference, recommendations and explanations and presents a complete literature review.…”