Speed Changes in the Vicinity of Horizontal Curves on Two-Lane Rural Roads

Medina, Alberto M. Figueroa; Tarko, Andrew P.

doi:10.1061/(asce)0733-947x(2007)133:4(215)

Cited by 36 publications

(13 citation statements)

References 11 publications

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“…The average deceleration rate was −1.6 m/s 2 (max. = −9.7 m/s 2 ), which is higher than the average deceleration rates closer or smaller than the −1 m/s 2 found in previous research (e.g., [48,49]) and considered in the standards and guidelines (e.g., [29]). It should be pointed out that:…”

Section: Curve Operational Featurescontrasting

confidence: 50%

“…In seven cases, both the previous and following tangent lengths were insufficient (based on Equation (13) for a proper deceleration computed through Equation (12) to occur, and assumed to possibly occur on tangents only (an experimentally verified usual condition [48]). In cases of insufficient tangent length (case 3, Figure 2), the deceleration rate was computed through Equation (14).…”

mentioning

confidence: 99%

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Geometric and Operational Features of Horizontal Curves with Specific Regard to Skidding Proneness

Intini¹,

Berloco²,

Ranieri³

et al. 2019

Infrastructures

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1) Run-off-road (ROR) crashes are a crucial issue worldwide, resulting in a disproportionate number of traffic deaths. In safety research, macro-level analysis on large datasets is usually conducted by linking explanatory variables to ROR crash frequency/severity. Micro-analysis approaches, like the one used in this study, are instead less frequent. (2) A comprehensive Italian Fatal + Injury (FI) crash dataset was filtered to identify two-way two-lane rural road curves on the national road network on which more than one ROR FI crash (i.e., at least two crashes) in the observation period of four years had occurred. The typical features of the ROR FI crashes and the recurrent geometric (characteristics of tangents and curves) and operational features (inferred speeds, acceleration/decelerations) of the crash sites were reconstructed. (3) The main contributory factors in ROR FI crashes are: wet pavements, speeding, and distraction. Sites with a relevant history of ROR FI crashes present recurrent safety issues such as inadequate horizontal curve coordination, an insufficient tangent length for decelerating, and inferred operating speeds comparable/higher than the inferred design speeds. (4) Based on findings, some practical suggestions for road safety management and maintenance are proposed through specific indicators and countermeasures (speed, perception, and friction related).Infrastructures 2020, 5, 3 2 of 25 Among the main causes of ROR crashes, speed, distraction, and fatigue play an important role (see [4]). Moreover, when specifically focusing on curves, the occurrence of ROR crashes may be influenced, among the other factors, by these road design aspects:

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Section: Curve Operational Featurescontrasting

confidence: 50%

mentioning

confidence: 99%

Geometric and Operational Features of Horizontal Curves with Specific Regard to Skidding Proneness

Intini¹,

Berloco²,

Ranieri³

et al. 2019

Infrastructures

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show abstract

“…Under this premise, the speed transition is currently estimated using kinematic relationships assuming that the so-called "operating acceleration" and "operating deceleration" are constant, which depends on the difference in the 85 th percentile of speed on a known length. Thus, the speed profile is idealized as speed reduction from the entrance tangent to the first curve and speed increase when the driver departs the curve, accelerating to the maximum speed at the intermediate tangent, decelerating again when entering the second curve and accelerating during the departure from the second curve (Figueroa and Tarko, 2007;Montella, Pariota, Galante, Imbriani, & Mauriello, 2014). Altamira, García, Echaveguren, and Marcet (2014) analysed the limitation of this approach in estimating operating speed profile models, particularly in the treatment of acceleration values and the length needed to accelerate or decelerate.…”

Section: Introductionmentioning

confidence: 99%

Longitudinal Acceleration Models for Horizontal Reverse Curves of Two-Lane Rural Roads

Echaveguren

Henríquez

Jiménez-Ramos

2020

BJRBE

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The operating speed profile models adopt acceleration and deceleration as constant values obtained from kinematic models, assuming that the operating speeds between two consecutive sections are not spatially correlated. Existent research shows that acceleration and deceleration in horizontal reverse curves (HRC) depend on the tangent length and curve radii. In this paper, accelerations/decelerations-geometry models for light cars are proposed. The models are based on the data obtained in-field with a 10 Hz GPS under favourable traffic, weather, and pavement condition to isolate the effect of road geometry over the speed changes. The models were calibrated using the 95th percentile of acceleration probability density function (pdf) obtained section to section in the HRC. It was found that the acceleration and deceleration pdf follow the Burr distribution. Therefore, a Box–Cox transformation is needed to properly calibrate acceleration-geometry models. The models obtained confirmed that accelerations and decelerations depend on the radius of entrance and departure curves of the HRC. The results contribute to better understanding of the acceleration/deceleration patterns of light cars and to enhancing operating speed models in the HRC.

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“…Sin embargo, se han llevado a cabo algunas investigaciones considerando otros percentiles, como posteriormente se comentará. De hecho, diferentes estudios (Tarris et al, 1996;Fitzpatrick et al, 2003;Figueroa y Tarko, 2007) han considerado la utilización de la distribución completa de la velocidad de operación.…”

Section: La Velocidad De Operaciónunclassified

“…Figueroa y Tarko (2007) calibraron un modelo para la velocidad de operación en rectas en el que uno de los factores era la pendiente (%), afectada por el coeficiente -0.087. Por tanto, según este estudio la velocidad de operación en rectas disminuye con el aumento de la pendiente.…”

Section: La Influencia De La Pendiente En La Velocidad De Operación Eunclassified

Caracterización Y Modelización De La Velocidad De Operación en Carreteras Convencionales a Partir De La Observación Naturalística De La Evolución De Vehículos Ligeros

Zuriaga¹,

María²

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Speed Changes in the Vicinity of Horizontal Curves on Two-Lane Rural Roads

Cited by 36 publications

References 11 publications

Geometric and Operational Features of Horizontal Curves with Specific Regard to Skidding Proneness

Geometric and Operational Features of Horizontal Curves with Specific Regard to Skidding Proneness

Longitudinal Acceleration Models for Horizontal Reverse Curves of Two-Lane Rural Roads

Caracterización Y Modelización De La Velocidad De Operación en Carreteras Convencionales a Partir De La Observación Naturalística De La Evolución De Vehículos Ligeros

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