An innovative model integrating spatial and statistical analyses for a comprehensive traffic accident study

Download

index.pdf

Date

2004

Author

Şener, İpek Neşe

Metadata

Show full item record

Item Usage Stats

205
views

125
downloads

The negative social and economic results of traffic accidents are the most serious problems within the concept of traffic safety. Every year, unfortunately, a huge number of traffic accidents result in destructive losses. Especially, when the holiness of human life is concerned, traffic safety has an invaluable role for the traffic improvement strategies. In this manner, Turkey places one of the highest ranks regarding the growing rate and severity of traffic accidents that should be immediately taken under control. In this study, an innovative model that constructs a hybrid between the spatial and statistical analyses is developed in order to examine the importance of enhancing statistical analysis with georeferenced data and so location-based studies in traffic accident analysis. Meanwhile, the effects of road characteristic and environment are considered for exploring the integral role of roadway factor to the occurrence of accidents, and consequently for emphasizing easily applicable and controllable engineering safety measures. Because of the rare and random distribution of traffic accident data, logistic regression is used for the statistical part of the study in order to find the pairwise risk factors among the roadway and environmental parameters. After unifying these relative risk factors with the logic of Analytic Hierarchy Process, the finalized accident risk factors are attached to the digitized road characteristics map through Geographic Information Systems (GIS). The abilities of GIS in mapping, displaying and overlaying different data sets ensure to visualize high risked accident areas with their corresponding potential causal factors. The integration of statistical and spatial analyses is essential for developing appropriate and effective precautions in addition to its easily understandable, applicable and modifiable structure. Finally, the model is

Subject Keywords

General Biology.

URI

http://etd.lib.metu.edu.tr/upload/3/12606148/index.pdf
https://hdl.handle.net/11511/15142

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

A Multimodal Approach for Aggressive Driving Detection Kumtepe, Omurcan; Yuncu, Enes; Akar, Gözde (2016-05-19) Aggressive driving behavior is among the important causes of traffic accidents. Hence, detection of driver aggressiveness has an importance in terms of decreasing the number of traffic accidents. Collected driving data while the vehicle is in traffic can be used to make inferences about the aggressiveness of the driver. In this study, a multimodal method is proposed in order to detect driver aggressiveness. The proposed method is based on utilizing the visual data taken from the on vehicle camera and sensor...
An approach to investigate relationship between speed and safety on urban arterials Ardiç Eminağa, Zerrin; Akyılmaz, M. Özdemir; Department of Civil Engineering (2008) Traffic safety is an important problem in today’s world with increasing number of fatalities and injuries in traffic accidents. For the solution of this problem, determination of accident prone locations on a network and reasons behind is an essential step, which is studied to some extend via different traffic accident analyses in the literature. While major factors affecting accident risk, such as speed, congestion, infrastructural aspects are known, it is still very difficult to figure out the interaction...
On Vehicle Aggressive Driving Behavior Detection Using Visual Information Kumtepe, Omurcan; Akar, Gözde; Yuncu, Enes (2015-05-19) Most of the traffic accidents are caused by human related factors. One of the most important human related factor in terms of traffic accident risk is aggressive driving behavior. Although driver aggressiveness is related with psychological reasons, it can be detected by observation of driving behavior using different sensing devices. This work presents a driver aggressiveness detection method exploiting the visual data obtained by on vehicle camera. The proposed method uses this visual data in order to ext...
Investigating Noung Male and Female Road Users' Behaviour as Pedestrians and Drivers ÖZTÜRK, İBRAHİM; Öz, Bahar (2021-01-01) Young road users constitute one of the most vulnerable groups in terms of experiencing road traffic accidents as either drivers or pedestrians. Pedestrian and driver behaviours are important predictors of the road users' safety. The present study mainly aims to investigate the relationship between behaviours of young male and female road users as drivers and pedestrians. A total number of 573 young road users (316 male, 257 female) aged from 19 to 28 (M = 22.2, SD = 1.77) participated in the present study. ...
Pedestrian violations: Reasoned or social reactive? Comparing theory of planned behavior and prototype willingness model DEMİR, BAŞAR; Özkan, Türker; Demir, Sila (2019-01-01) Pedestrians hold high responsibility in accidents because of their unsafe traffic behaviors. Pedestrian violations are an important traffic safety problem, especially in low and middle-income countries. The problem would be better understood and solved by theory-based research on pedestrian violations. The theory of planned behavior (TPB) and the prototype willingness model (PWM) are two leading decision-making frameworks that are applied to a wide range of behaviors. These theories address the reasoned and...

Citation Formats

İ. N. Şener, “An innovative model integrating spatial and statistical analyses for a comprehensive traffic accident study,” M.S. - Master of Science, Middle East Technical University, 2004.