## 7 Conclusions  
The contribution of this study is to propose a new multistate flow network diagram with the complexity of the actual transportation road network to help enhance the construction of intelligent wireless sensing in intelligent logistics. The complex multistate flow network proposed in this study can be used to simulate the logistics distribution network from north to south in Taiwan. Road type (type of edge) has rarely been discussed in the existing reliability research on the multistate flow network, so that is proposed by this study for discussion. The reliability of the multistate flow network is evaluated by studying trucks traveling on highways and slow-speed roads, two road types with different speeds and different constraints. These are applied to the delivery of goods on the multistate flow network from north to south in Taiwan as an actual case to discuss. The results of this study show that trucks traveling on highways and slow-speed roads have similar logistics reliability for the same unit of goods distributed. This also echoes the actual situation. In the transportation of goods in Taiwan, it is not difficult to find that there are trucks of various companies driving through both types of roads for the distribution of goods. In today's business environment, the competition has become increasingly fierce, and the reliability of the logistics distribution is also one of the factors for the success of each enterprise. Therefore, the research planning and research results of this study can be effectively provided for academic and practical reference. For continuation in further research, automated data acquisition of intelligent logistics is being considered for study in future work. In the future study, weight restrictions for trucks and heavy goods vehicles on all public roads can be considered to ensure public safety and to relocate heavy road transport to main roads and highways that link main logistic centers and bypass cities and heavily populated areas. Furthermore, in future work, the assumption that \"The turning angle is limited by less than 90 degrees when the truck is driving in highways\" can be considered for deletion because there are fewer curves or junctions on major roads and highways than on local roads. The model for analyzing and optimizing the delivery of goods by trucks can be planned to be more universal, and certain restrictions and parameters of individual routes can be included as weights, or certain attributes can be assigned to the edges between nodes in a future study. More than two types of roads (national highways, provincial highways, expressways, non-urban roads, urban roads, etc.) can be studied based on this work in the future. Moreover, various patterns of vehicle movement can be considered in future work. In addition, in this work in the future, the edges of the network in the model can take into account the real length of the route instead of the length between the nodes calculated from the coordinates as the distance between two points using Formula (2). Conceptualization, W.-C.Y., C.-L.H. and H.-S.W. ; methodology, W.-C.Y., C.-L.H. and H.-S.W. ; software, W.-C.Y. and C.-L.H. ; validation, W.-C.Y. ; formal analysis, W.-C.Y. and C.-L.H. ; investigation, W.-C.Y. ; resources, W.-C.Y. and C.-L.H. ; data curation, W.-C.Y. and C.-L.H. ; writing--original draft preparation, W.-C.Y. and C.-L.H. ; writing--review and editing, W.-C.Y. and C.-L.H. ; visualization, W.-C.Y. ; supervision, W.-C.Y. ; project administration, W.-C.Y. ; funding acquisition, W.-C.Y. All authors have read and agreed to the published version of the manuscript. This research was supported in part by the Ministry of Science and Technology, R.O.C. (MOST 107-2221-E-007-072-MY3, MOST 110-2221-E-007-MY3, MOST 109-2221-E-424-002, and MOST 110-2511-H-130-002). **Data Availability Statement:** Not applicable. **Acknowledgments:** We wish to thank the anonymous editor and the referees for their constructive comments and recommendations, which significantly improved this paper.