An Optimal Road Maintenance by Markov Process with Increase of Road Data  
Author Yuta Kikuchi


Co-Author(s) Junji Koyanagi


Abstract In Japan, the roads were rapidly developed during the period of high economic growth. However, in recent years, the deterioration of infrastructure such as highways is a serious problem, because of severe budget constraints are imposed from public investment reductions due to the economic downturn and a decrease in the labor force population. For this reason, it is important to devise more efficient road maintenance. In this paper, we model the degradation over time of the road structure by Markov processes and devise the optimal repair plan. In the model, we consider five road states and inspect the state at fixed time intervals. The maintenance of the road is determined by the road state. By simulation, we generate samples of state transition data of a road structure observed at inspection, and estimate the transition probabilities based on the generated data by using the least squares method. In addition, we investigate the optimal repair policy to minimize the expected cost per unit time and analyze the effect of each parameter such as inspection cycle and the number of data.


Keywords Markov Process, Road Maintenance, Least Squares Method, Inspection
    Article #:  RQD25-175
Proceedings of 25th ISSAT International Conference on Reliability & Quality in Design
August 1-3, 2019 - Las Vegas, NV, U.S.A.