IOT Based Safe Transportation Route

Route planning for military vehicles in an uncertain military environment is a special type of route planning problem, as military vehicles are subjected to major uncertain and unexpected attacks. This paper modeled this road network uncertainty with a set of different scenarios. The shortest route is introduced to find fixed routes from the point of departure to the destination of each vehicle. A binary number system is introduced to create a problem. Since the combination of uncertainty results in a large number of cases, we used a moderate sample measurement method to find a solid solution to the problem. The solution method is shown and tested in a series of three different dimensions. Calculation results show that, in small scale networks, our method can provide a good solution with a small sample size, whereas, in a large network, with a small sample size, this method often leads to a lower resolution, but a better solution is still available as sample size grows. Additionally, a different deviation trend with a different sample size indicates that a larger size sample can bring more stability to the results.