In this paper, a Weibull hazard model is presented to describe the expected life length of the tunnel lumps, and the inspection/replacement processes of tunnel lighting systems are formulated by the aggregated Markov model. The inspection/replacement intervals and the maximum life length of the lumps are considered as the major management policy variables. And the impacts of these management variables upon the life cycle costs and the fault probability of the lumps are investigated. The optimal inspection/replacement model is presented to find the optimal policy that minimizes the life cycle costs given the levels of the fault risks. The applicability of the methodologies presented in the paper is examined by a case study conducted with the data-base in the real world.