Key points are not available for this paper at this time.
Abstract This paper focuses on implementing an intelligent decision‐making automated device for providing safety to all individuals. In India, during every year it has been observed that an average of 36% of the people is dying due to road accidents in highways. Till now, there are no intelligent devices to monitor the above‐mentioned conditions. Even if the devices are available the distance of installation is observed to be small and as a result cost of installation is higher. Therefore, the monitoring devices are not integrated in proper position and the safety units which are divided and placed in highways for providing indication to the drivers are not appropriate. To provide higher safety to each individual in highways, the proposed method incorporates a Minimized Cluster Rate for partitioning the highway patterns and for understanding the congestion problem to identify appropriate highway lanes with Enhanced Level protocol for proper operation in emergency conditions. Also, this new flanged model is monitored using Thing speak and for real‐time analysis the results are plotted in MATLAB. Moreover, it has been observed that the projected method provide more safety to each individual with minimization of cost and error in control process.
Hariprasath Manoharan (Thu,) studied this question.