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- W809747144 abstract "This paper examines the performance of a new traffic assignment algorithm, known as TAPAS, in a case study drawn from transportation planning practice. By storing and operating on paired alternative segments, TAPAS is able to converge quickly to the user equilibrium (UE) while finding the most likely UE route flows, which satisfy the so-called proportionality condition. The results from the case study show that TAPAS can achieve more precise solutions compared to a commercial traffic assignment tool based on the well-known Frank-Wolfe algorithm. Further experiments that involve comparison with a Frank-Wolfe research code confirm that TAPAS not only generates more precise solutions, but also generates them with much less computational effort. The case study reveals that precision levels do make a difference in the results of the aggregated analyses. Importantly, the project benefit estimated by TAPAS is about 4% lower than that given by the commercial software, which seems large enough to influence decision making. The authors note that the solution produced by the commercial software tool in this case study has achieved a relative gap of 1e-4, a precision level considered by many as sufficient for scenario comparison. This study provides evidence that higher levels of precision may be necessary for certain analyses." @default.
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- W809747144 date "2012-01-01" @default.
- W809747144 modified "2023-09-27" @default.
- W809747144 title "Traffic Assignment by Paired Alternative Segments: A Case Study based on an Ohio Travel Demand Model" @default.
- W809747144 hasPublicationYear "2012" @default.
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