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A numerical study indicates that both of the algorithms are practical and can significantly improve the computational performance of intersection analysis for large-scale simulations.
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Li et al. (2014) performed an analysis on the relation between fractures' predominant orientations and the actual performance of the intersection analysis, presenting some practical suggestions on tuning the algorithm.
In this paper, two parallel algorithms are proposed to improve the computational performance of the intersection analysis procedure.
Optimization and simulation results indicate that the new method can obtain better operation performance than the lane-based method, and it is able to reflect the practical operational performance of the intersection which is influenced by short lane within limited length.
All these conditions cause a very complex traffic situation at unsignalized intersections which have a great impact on the capacity and performance of traffic intersections.
This finding also provides a good starting point to further analyze the performance of oversaturated intersections.
However, there is no study specifically conducted to assess the safety performance of the intersections with TWA.
Over the past few years, the Utah Department of Transportation has developed the signal performance metrics (SPMs) system to evaluate the performance of signalized intersections dynamically.
All these conditions result in a very complex traffic situation which has a great impact on the capacity and performance of traffic intersections.
Model validation shows that the proposed queueing model can provide an accurate estimation of queueing performance of signalized intersections with waiting areas.
Having the tuned parameters, we compare the performance of the proposed intersection approach with alternative systems (without intersection algorithm or limit on section types).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com