A systematic review of proactive driver support systems and underlying technologies

• Main Authors: Andrei Taramov, Nikolai Shilov
• Format: Article
• Language: English
• Published: FRUCT 2017-04-01
• Series: Proceedings of the XXth Conference of Open Innovations Association FRUCT
• Subjects: Recommender Systems; Recommendation Systems; Context-aware recommender systems; Proactive recommendation system; Driver support systems; SOA; Service-oriented architecture; Context-awareness; Content-based filtering; Collaborative vehicle navigation; Collaborative filtering; Route recommendation; Proactive systems
• Online Access: https://fruct.org/publications/fruct20/files/Tar.pdf
• ISSN: 2305-7254; 2343-0737

Recently, there has been an incredible growth of recommender systems as well as proactive, context-oriented technologies, based on cloud services, ubiquitous computing and service-oriented architecture. This composition of techniques and technologies has made it possible to create intelligent support systems in areas with rapidly changing environment, like car driving. However, such systems are not yet widespread, and available prototypes, in most cases, are only useful for research trials, so their development remains an important issue. Thereby, this paper reviews the existing body of literature on recommender systems and related technologies in order to carry out their systematic analysis and draw the appropriate conclusions on the prospects for their development.