Abstract: The distinguishing proof of street segments portrayed by high hazard mishaps is the initial step for any fruitful street wellbeing the executive’s procedure, thinking about the restricted accessible assets. Although researchers started to study black spot decades ago, there are many un-clarified questions in this field In the recognizable proof procedure of dark spots three fundamental techniques can be utilized: screening strategies, bunching strategies and crash expectation strategies. Numerous literary works and contextual investigations were composed depicting every technique professionals or cons. These writings focus for the most part on one sort of street each time, in spite of the fact that street attributes (for example speed, ADT) can exceptionally influence the achievement and accuracy of the connected strategy.. Therefore, the most important question to be answered is which method for which road?. This question can be answered by comparing different applied methods for different road types. However the comparison of different methods is still not adequately explored areas. This article plans to analyze distinctive techniques utilized in distinguishing dark recognize; the sliding window and the spatialautocorrelation for two sorts of streets contrast in their normal speed, where speed is one of the significant street qualities which is as yet not sufficiently investigated. The result shows a preference to use the sliding window for identifying black spot in high speed roads and the lack of preference to use it in low speed streets, and the other way around for spatial autocorrelation technique, following mishaps dissemination design. Furthermore, an aftereffect of a shortcoming in applying Empirical Bayesian in Fast Street is additionally included.Keywords- Black spot analysis of the Road