Investigating the Prospect of Adopting Artificial Intelligence Techniques from Transport Operators in Greece

摘要

The bloom of computer engineering and data science unveils new potential for several business sectors, regarding the enhancement of their operational functions. Transport stakeholders can benefit from computer science advances, such as Artificial Intelligence (AI) or Data Mining (DM) techniques, which can contribute to the utilization of existing data and maximize their productive efficiency. Reduced operating costs, decreased travel times, as well as faster freight delivery times are among several gains that can be achieved through the adoption of such techniques. Analysing transport related social media content could also provide useful insight into customers' needs and preferences based on their social media behaviour. However, the aforementioned computer science fields are relatively new and require advanced hardware as well as necessary expertise. Thus, the take - up from transport operators is not significant yet. In this paper, we provide an overview of the currently applied AI and DM techniques in corporate decision making, planning, and management practiced by various transport operators worldwide. Our literature review highlights original findings and case studies from selected freight and passenger transport operators in Greece. To further investigate their activities, a questionnaire survey was conducted to examine the existence of a systematic data collection system, the processes of data mining and analysis applied (if any) and most importantly the fields where the information derived from data analysis is exploited. Survey findings reveal the relative maturity of Greek transport operators for applying AI and DM techniques.