Road accidents are considered as the results of a complex interplay between road, vehicle, environments, and human factors. Little study, however, has been carried out on the attributes of human factors compared to the road geometric conditions and traffic conditions. The previous researches focused on mainly both traffic and geometric conditions on specific location. Therefore, it's hard to explain phenomenon of the high traffic accident rates where road and traffic conditions are good. Because of these reasons, accident analysis has contributed on geometric improvement and has not contributed on traffic management such as selection of attention section, driver napping alert, etc. The freeway incident management is also associated with reliable prediction of incident occurrences on freeway sections. This paper presents a method for estimating the effect of trip length on freeway accident rate. A PAR (Potential Accident Ratio), the new concept of accident analysis, considering TLFDs (Trip Length Frequency Distributions) is suggested in this paper. This approach can help to strengthen freeway management and to reduce the likelihood of accidents.
[1]
Geert Wets,et al.
Road traffic accident clustering with categorical attributes
,
2004
.
[2]
Bryan K Allery,et al.
Explicit Consideration of Safety in Transportation Planning and Project Scoping
,
2004
.
[3]
이성관,et al.
Traffic Accident Prediction Model by Freeway Geometric Types
,
2002
.
[4]
John N. Ivan.
New Approach for Including Traffic Volumes in Crash Rate Analysis and Forecasting
,
2004
.
[5]
Eric Yamashita,et al.
Asleep at the Wheel: Spatial and Temporal Patterns of Fatigue-Related Crashes in Honolulu
,
2001
.
[6]
Samuel Labi,et al.
Incident Occurrence Models for Freeway Incident Management
,
2003
.