Positive Train Control Passenger Braking Algorithm Enhancement – Phase II
FRA sponsored research to examine the performance benefits of four potential modifications to the current methodology used for passenger braking enforcement algorithms in Positive Train Control applications. All four modifications improved braking performance compared to the baseline. PTC braking algorithms are designed so that 99.5 percent of all passenger trains stop before the target, which can impact the efficiency of some consists and vehicles. Improving the performance of the EA without sacrificing safety will allow agencies to operate more efficiently.