01373353

Component

https://doi.org/10.3141/2316-14

http://scholar.google.com...mura&publication_year=2012

Because of traffic accidents at signalized intersections, improvement in the design of geometric layouts and operations of intersections is needed. Traffic simulation provides an innovative approach to assessing the safety performance of various layouts and operational policies of signalized intersections. A microscopic simulation model was developed to assess the safety of signalized intersections. The proposed simulation model integrates many key behavioral models of road users, such as the stop–go decision at the onset of a yellow light, turning paths, turning speeds, start-up response time, and pedestrian gap acceptance models. The main feature of these empirical models is their consideration of the stochastic behavior of road users. Furthermore, these models are sensitive to the layout and operation of signalized intersections. This paper discusses how conflicts are presented inside the simulation by demonstrating the mechanism of one of the conflicts. Model validation and a case study were conducted. The validation results show that the simulation model reasonably represents the occurrence of conflicts at signalized intersections, which proves that the proposed model can be a reliable approach to safety assessment. A case study compares the performance of compact intersections with wider layouts. The simulation results show trends in safety improvements, although a general conclusion cannot be made.

01474809

12-3588

English

pp 122–131

2012

Transportation Research Record: Journal of the Transportation Research Board

9780309263221

Print

Figures; References; Tables

Case studies; Highway safety; Layout; Microsimulation; Signalized intersections; Stochastic processes; Traffic conflicts; Traffic simulation; Validation

Safety assessment; Safety improvement

Highways; Operations and Traffic Management; Safety and Human Factors; I73: Traffic Control; I80: Accident Studies

TRIS, TRB, ATRI

Feb 8 2012 5:17PM

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