Decision Making for Advanced Driver Assistance Systems for Public Transport

This paper discusses the decision-making process for Advanced Driver Assistance Systems (ADAS) on level 0 for public transport in Russia. ADAS systems improve the safety on the road by warning the driver about any potential collision. The architecture of the proposed system is discussed. Two new systems are proposed, which are Turn Assist System (TAS) and Lateral Clearance Warning (LCW). Three other systems were developed according to the used vehicle (KAMAZ bus), Russian road laws, and weather conditions. These systems are Forward Collision Warning (FCW), Pedestrian Collision Warning (PCW), and Blind Spot Monitoring (BSM). For each system, the process of decision-making is discussed. The presented systems were tested both in MATLAB/Simulink and on the test site (landfill). The conducted results correspond to system requirements and help to improve the safety on the road.