Decision Support System for Drivers and Passengers: Smartphone-Based Reference Model and Evaluation

Abstract

Last years, decision support systems brought a lot of new possibilities for the people. Developing such technologies as context-aware recommendations, personification, cloud computing allows to support vehicle drivers and passengers in their trips. Decision support systems for vehicle drivers and passengers allows one to provide context-based personalized recommendations based on determined situation in the vehicle cabin and location region as well as driver preferences. For example, during the trip the driver can be notified about the interesting places. If the system determines the dangerous state it generates recommendations for the driver to predict the emergency situation. The paper presents a reference model of the decision support system, describe the dangerous state identification scheme, and discuss evaluation.

Keywords

• decision support
• drowsiness
• distraction
• recommendation
• driver support