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Problem statement: In this study, we introduced a new and real-life condition of&#13; Capacitated Arc Routing Problem (CARP), a model that represents vehicles operation in waste&#13; collection. In general, we studied the element of rain drops that affected the collected waste weight in&#13; total by imposed a new variable namely rainy weight age. In rainy days, the household refusals did not&#13; increase in volumes, but in weights due to rain drops. Consequently, this matter thus burdened&#13; vehicles capacity and prolonged its operation time. This dynamic variable thus changes the initial&#13; CARP model where the existing model did not consider other external elements that have effected onto&#13; the model. Approach: Then we developed and enhanced CARP by integrating stochastic demand and&#13; time windows to suit the models with our specific case. Results: Objectively, CARP with stochastic&#13; demand (CARPSD) and CARP with time windows (CARPTW) were designed to minimize the total&#13; routing cost and number of trips for a vehicle. Our approach is to design CARP models in almost likely&#13; to road layout in residential area and graphically this model is called mesh network. We also developed&#13; a constructive heuristic that is called nearest procedure based on highest demand/cost (NPHDC) and&#13; work in conjunction with switching rules to search the feasible solution. Conclusion: Our preliminary&#13; results show a higher cost and more trips are needed when the vehicle operates in rainy day compared&#13; to normal day operation

Implementation Weather-Type Models of Capacitated Arc Routing Problem via Heuristics