Research Report – State of Good Repair Predictive Model for Small Urban and Rural Transit System's Rolling Stock Assets
In a newly published study, SURCOM has developed a model to predict the retirement years for small urban and rural transit vehicles. Achieving and maintaining public transportation rolling stock in a state of good repair is very crucial to providing safe and reliable services to riders. SURCOM developed an intelligent predictive model for analyzing the rolling stock for small urban and rural transit systems. The model determines current conditions, predicts when vehicles need to be replaced or rehabilitated, and estimates the funding needed to replace vehicles in future years to maintain a state of good repair. This simple predictive model could be a valuable resource for maintaining state of good repair and prioritizing capital needs for replacement and rehabilitation.
The full report and a video summary can be found at the link below:
For more information, contact Dilip Mistry at dilip.mistry@ndsu.edu.