TY  - JOUR
PY  - 2011//
TI  - Installation of railroad wayside defect detectors
JO  - Transportation research record
A1  - Peng, Fan
A1  - Li, Xiaopeng
A1  - Ouyang, Yanfeng
SP  - 148
EP  - 154
VL  - 2261
IS  - 
N2  - Railroads use wayside inspection technologies to monitor the health of passing railcars. Because of resource constraints, an efficient and feasible installation plan should be integrated into a multiperiod decision-support framework to derive the maximum benefit over a long planning horizon. A large-scale network optimization framework was proposed to solve this problem. The problem was formulated into two equivalent mathematical models: a maximum coverage model and a K-median model. A set of solution algorithms including a greedy heuristic, a 1-interchange heuristic, and a Lagrangian relaxation method were developed for these models, and their computational performances were investigated. A numerical case study was developed to illustrate the use of these models in real-world settings, and insights into empirical applications of these models were drawn.<p /> 
LA  - en
SN  - 0361-1981
UR  - http://dx.doi.org/10.3141/2261-17
ID  - ref1
ER  -