Analysis of Severity Level Types and Trends in Road Accident Cases at Johor Inter State Road Using Analythical Hierarchy Process (AHP) And Geographical Information System

Abstract

Road traffic accidents are usually happened and keep increasing year by year in Malaysia. It will give a adverse impact at the road also to the road user. There are several causes that contribute to the accident such as faulty vehicle, uneven roads, driverbehavior and many more. So, with all these causes, it might be the reason why the road accidents keep on increasing. The purpose of this case study is to determine the highest road accident ranking based on the types of injuries at the state road, Johor. Another purpose is to identify the current traffic accident trends. Secondary data collected from Balai Polis Trafik, Batu Pahat are used to get an accident data and the Analythical Hierarchy Process (AHP) will be proceededto find the road accident ranking based on the types of injuries. The case study used the five years’roadaccident data as from 2016 until October 2020.Geoda as GISapplication is used to insert the data about the road accident trends. The highest road accident ranking based on the types of injuries and the road accident trends were obtained and achieved all the objective of this case study. The hierarchy structure has founded highest ranking by types of injuries, which is the highest is Wreckage injuries that has the consistency ratio 2.92 which is the highest then the other value. The fatal injury has the second highest value which is 1.31, the minor is 0.88 and thelowest value is in the serious injuries which is 0.70 in consistency Ratio. In conclusion, by using the AHP it is more easy to find the rankingat any of problem issues and by using this method it can use primarily used to weigh the parameters and pick and rate the alternatives that have been chosen.Besides that, it will be useful as a reference to any party in the future forthe road traffic management.

Proportion-Based Analytical Hierarchy Process for Determining Prominent Reasons Causing Severe Crashes

“…They compared AHP with the forced ranking method in terms of a pairwise comparison of crash factors and found that the AHP performed better in representing the importance of factors with in-depth details. Saifullizan et al (2022) [19] used the AHP method to rank and weigh car crashes according to the different categories of injury using data from Balai Traffic Batu Pahat Johor, Malaysia, from October 2016 to October 2020. They prioritized wreckage injuries at the top of the hierarchy system, followed by fatal injuries, minor injuries, and serious injuries.…”

“…Traditional AHP is one of the methods more frequently used in traffic crash analysis to methodically assess the seriousness and significance of factors involved in traffic crashes. It uses pairwise comparisons and determines the relative importance of various variables, including the state of the roads, driving habits, vehicle features, and environmental factors [17][18][19]. The traditional AHP methods, however, do not consider the actual occurrence or practical impact of each criterion when making a choice, which can produce biased results [27].…”

Predicting the Type of Road Traffic Accident for Test Scenario Generation

“…Thus, 1AT contains only seven different classes to be predicted, which are significantly fewer than 3AT, consisting of 297 different accident types to be predicted [10]. Furthermore, other research on building classifiers based on police accident data often focuses on predicting or modelling injury-related parameters, for example, the accident severity or the number of injured people [19], [20], [21], [22], [23], [24], [25], [26], [27], [28], [29], or investigating risk factors [30], [31], [32], [33], [34], [35], [36]. Additionally, models regarding crash type, typically describing how road users hit each other, 1 seem to be part of the research focus [37], [38], [39], [40], [41].…”