The cogni- tive reliability model is established to compare the cognitive error probability of driver's confirmation of train route information before and after visual extension. TRIVDE method can improve the safety of train operation by reducing the probability of driver's cognitive error of train route.
Oct 30, 2020 · Train route information visual distance extension (TRIVDE) improves the driver's cognitive environment and enhances the accuracy of the driver's ...
The TRIVDE method can improve the safety of train operation by reducing the probability of driver's cognitive error of train route and enhances the accuracy ...
This article proposes a method for extending the visual distance of train routes. In this way, the driver can see the image of train route set by the station in ...
This paper proposes an approach to eliminate train route setting errors by applying parallel monitoring, which can be used to supervise train route setting and ...
This article describes the realization of TRIVDE. The cognitive reliability model is established to compare the cognitive error probability of driver's ...
Train route information visual distance extension system structure -- 3.1.3.2. Train route information visual distance extension working principle -- 3.1.3.3.
Abstract: The paper studies the problem of search and selection of routes to develop an automated train control system at the station. Stations that have ...
The performance of 20 train drivers in a rail simulator was investigated at low, moderate and high fatigue levels.
This paper provides a review of the literature on vision-based on-board obstacle detection and distance estimation in railways.