It is desirable for driving support systems to improve the safety of driver vehicle systems, and at the same time to have a performance that does not make individual drivers feel uncomfortable. Since human beings have various control characteristics, any system that supports driving under fixed conditions without taking such characteristics into consideration cannot be a driving support system in the true sense. The authors believe that only those systems that reflect the characteristics of individual drivers improve safety and pave the way for their widespread use, and proposal Tailormade Driving Support System (TDSS) in IATSS RESEARCH Vol. 28 No. 1. This TDSS is composed of three systems that support braking, steering and accelerating, and it gives assistance fitted to individual drivers with a driver model that uses a neural network. This research reviewed the construction of models of a Tailormade Braking Support System (TBSS) for braking to stop vehicles and the evaluation of drivers. As a result, the following conclusions were drawn. (1) Braking factors were found to change in the period from the start of braking to stopping; (2) Changes in braking factors can be logically incorporated into the control elements of braking support system; (3) Readymade Driver Model is effective as a model to be incorporated into the base system of TBSS; (4) Tailormade Driver Model built on Neural Network is effective as a main model to construct TBSS; (5) As for TBSS, both subjective and objective ratings on the timing and magnitude of braking are favorable, and its safety and sense of security are improved. (Author/publisher).
Abstract