01552356

Component

https://doi.org/10.3141/2512-10

In the developing world, with increases in population, the number of vehicles is increasing tremendously. Traffic safety on roads has become a major concern even with advancements in technology and infrastructure. Traffic safety assessments and accident prediction based on accident data is a reactive approach. There are known drawbacks related to the reliability of accident data, especially in developing countries with large populations, such as India. It is, however, unethical to wait for accidents to occur before drawing statistically accurate conclusions regarding safety impacts. To overcome this impediment, one needs to develop accurate models that rely on surrogate safety measures (SSMs) for effective safety evaluations. The main advantage associated with the use of these models is that they can model crashes more frequently than in the real world and thereby imply an efficient and more statistically reliable proximal measure of traffic safety. The objective of this study is to examine the impact of management measures on traffic safety at a three-arm uncontrolled intersection with the use of microsimulation modeling under mixed traffic conditions. This examination was done by developing a unique methodology of measuring one SSM, postencroachment time (PET). This paper describes improvement in the accuracy of crash predictions by proposing a methodology to calculate PET.

01589161

15-4161

English

pp 81–89

2015

Transportation Research Record: Journal of the Transportation Research Board

9780309369343

Print

Figures (6) ; Photos; References (11) ; Tables (3)

Data quality; Developing countries; Highway safety; Infrastructure; Mathematical prediction; Unsignalized intersections; Vehicle mix

India

Data and Information Technology; Highways; Pedestrians and Bicyclists; Safety and Human Factors; I80: Accident Studies

TRIS, TRB, ATRI

Dec 30 2014 1:21PM

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