A train positioning algorithm based on inflexion analysis by using sets of distance measurement data collected from on-board laser ranging equipments

Train positioning system is the most important part in the operation and control system (OCS) in rail transit system of all kinds, for it can help the OCS system to get the real-time train positioning information and to realize fail-safe principle if any incident which may lead to hazard happens. Nowadays, different rail transit system have different ways in realizing train positioning, for the environment of each rail transit lines are different, and there is not a certain method which could be applied to all. Consider that each rail transit line has its own civil construction characteristics, and there is a distance measurement method with the accuracy up to millimeter level based on laser ranging, train positioning can be realized by setting up several sets of laser ranging equipments on-board, collecting ranging data between the train and different civil construction surfaces along the line, and counting the real-time train position out employing these sets of data collected and certain data matching algorithms. In this paper, a train positioning algorithm has been proposed based on inflexion analysis, such algorithm utilizes sets of distance measurement data collected from on-board laser ranging equipments. By setting up an experiment system for train positioning with the aid of laser ranging equipment, the effectiveness of proposed algorithm has been verified.