Public Roads Vol. 70 No. 4

Alexiadis, Vassili; Colyar, James; Halkias, John A.; Morena, David A.; Wainwright, W. Scott; Ranck, Fred; Furst, Tony; Al-Wazeer, Adel; Harris, Bobby; Nutakor, Christopher; Lee, Eul-Bum; Thomas, David K. · 2007 · ROSA P / United States. Department of Transportation. Federal Highway Administration. Office of Research, Development, and Technology

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Summary

This document is an issue of *Public Roads* (Vol. 70, No. 4, January/February 2007) published by the Federal Highway Administration (FHWA). It features several articles addressing highway safety, traffic simulation technology, and infrastructure improvements. The primary research-focused article, "A Model Endeavor," details the Next Generation Simulation (NGSIM) program, a public-private partnership aimed at improving the accuracy and reliability of traffic microsimulation software. The NGSIM program was initiated in 2002 to address limitations in existing commercial simulation tools, which practitioners often viewed as "black boxes" with unclear internal logic. FHWA shifted from developing its own software to acting as a "market facilitator," fostering collaboration between government researchers, university experts, and commercial software vendors. The program’s objective is to develop, document, and validate core driver behavior algorithms using high-quality, real-world data. These algorithms are intended to be openly distributed and incorporated into commercial software to enhance decision-making for transportation investments. The methodology involved a rigorous process of market assessment, data collection, algorithm development, and validation. The team collected detailed vehicle trajectory datasets, including positions tracked at 0.1-second intervals, from freeways (I-80 in Emeryville, CA; U.S. 101 in Los Angeles) and arterials (Lankershim Boulevard in Los Angeles). A key example provided is the Freeway Lane Selection (FLS) algorithm. Unlike existing models that only evaluate adjacent lanes, the FLS algorithm explicitly incorporates the choice of an ultimate target lane, allowing for complex maneuvers such as multiple lane changes to reach High Occupancy Vehicle (HOV) lanes. The algorithm was estimated from trajectory data and validated against aggregate loop detector data. It underwent rigorous testing in three major commercial simulation packages: PTV’s VISSIM, TSS’s AIMSUN NG, and Quadstone Paramics. The findings indicate that the NGSIM FLS algorithm offers superior clarity, scientific purity, and comprehensibility compared to existing proprietary algorithms. Commercial developers confirmed that the FLS algorithm facilitates easier modeling of specialized lanes and provides results that are slightly better or comparable to their existing models, with the added benefit of systematic parameter usage. All three participating vendors expressed intent to incorporate the NGSIM algorithms into their future software versions. The program is also developing additional algorithms for freeway merging, arterial lane selection, and oversaturated flow conditions. The significance of this work lies in its potential to improve the trustworthiness of traffic simulation tools. By embedding rigorously validated, transparent algorithms into widely used commercial software, transportation practitioners can make more reliable decisions regarding complex congestion solutions and infrastructure investments. The article concludes that this collaborative approach advances the state of the art in microscopic traffic modeling, ensuring that simulation results are grounded in sound science and high-quality empirical data. Other articles in the issue discuss intersection treatments for older drivers, freight policy, and bridge data updates, but the NGSIM program represents the central technical contribution regarding simulation methodology.

Key finding

Intersection treatments that simplify traffic movement, such as improved signal visibility and left-turn lanes, resulted in a 31-percent crash reduction for drivers aged 65 and older compared to a 17-percent reduction for drivers aged 25 to 64.

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