In the recent times, vehicular traffic accidents are considered to be one of the primary societal and economical related issues concerned to traffic accidents in complex networks. In view of this aspect, managing vehicular traffic accidents in complex networks requires a clear understanding of traffic flow patterns; i.e., acumen into what causes accidents, what controls the time and location of vehicular accidents, how does the vehicular traffic accidents propagate through the complex network, etc., are necessary. For this reason, during the past twenty-four years, a wide range of identifying vehicular traffic accident hot spots theories, methods and models have been developed to answer these research questions. This paper presents an overview of some twenty-four years of identifying the vehicular traffic accidents hot spots in complex road networks. A rich selection of approaches developed so far for identification of vehicular traffic accidents hotspots in complex networks will be examined and evaluated. The considered techniques are classified based on the level-of-detail like input features and parameters with which the identification of vehicular traffic accidents hotspots are described. For each of the techniques, issues like accuracy, applicability, generalizability and model calibration and validation are explained.