@article{goenaga_underwood_castorena_rogers_2023, title={Early Friction and Texture Evolution After an Asphalt Overlay}, volume={1}, ISSN={["2169-4052"]}, url={https://doi.org/10.1177/03611981221149436}, DOI={10.1177/03611981221149436}, abstractNote={ Recent studies have shown that friction and, more notably, macrotexture reduce markedly when pavements are newly overlaid. However, past studies have not identified whether these effects are temporary and, if so, how long they may last. These effects must be quantified to inform strategies for best monitoring and managing friction and the surface characteristics of a pavement network. This paper uses a group of sites that received a surface overlay at some point between the end of 2019 and the end of 2021. At each site, friction and texture were measured sequentially after construction in the center of the lane (CL) and in the right-wheel path (RWP). These observations were used to evaluate the early friction and texture evolution after an asphalt overlay. First, seasonal effects were evaluated using the CL measurements, presumed to be unaffected by traffic, which indicated friction is affected by seasonality, whereas texture is not. A friction seasonal effect model was calibrated and then used to remove the seasonal variation from the RWP observations. The results showed that friction initially increases after an overlay but then, after reaching a maximum, starts to decrease. The average traffic volume needed to reach the point of maximum friction was 15.5 million repetitions. Four parameters, computed from the texture profile, were used to represent macrotexture. The macrotexture was found to generally increase after overlay construction, but in some sites the magnitude and number of peaks decayed with time. }, journal={TRANSPORTATION RESEARCH RECORD}, author={Goenaga, Boris and Underwood, B. Shane and Castorena, Cassie and Rogers, Paul}, year={2023}, month={Jan} }
 @article{goenaga_underwood_tirkolaei_neithalath_2023, title={Effect of soil amendments on the compaction characteristics, hydraulic conductivity, and tire sinkage potential of roadside soils}, volume={41}, ISSN={["2214-3912"]}, DOI={10.1016/j.trgeo.2023.101019}, abstractNote={State highway agencies (SHAs) are required to comply with the National Pollution Discharge Elimination Permit (NPDES), which requires that the majority stormwater runoff from highways infiltrate into the roadside and that agencies implement soil based best management practices (BMPs). Per this new permit, SHAs are to install soil based BMPs that can absorb the 85th percentile of a 24-hour stormwater event. The area used for this purpose is typically the road embankments/slopes located adjacent to the roadside, best known as Clear Recovery Zone (CRZ). The CRZ must be traversable and recoverable to meet roadside traffic safety standards. A major concern for SHAs is the uncertainty on how these BMPs will affect the safety of a vehicle should that vehicle leave the roadway and interact with the soft soils. Considering this concern, the study described in this paper has assessed the impact of soil amendments on the compaction characteristics, hydraulic conductivity, and sinkage potential of six native soils of the state of California. These six soils were amended with four of the most used BMPs by the California State of Transportation (Caltrans). The results showed the hydraulic conductivity drops when the percentage of organic matter increases in the soil. They also showed that soils with a soaked surface had much larger sinkage than soils with an intact surface, this sinkage potential increase at the soak condition is proportional to the soil’s clay content.}, journal={TRANSPORTATION GEOTECHNICS}, author={Goenaga, Boris and Underwood, B. Shane and Tirkolaei, Hamed and Neithalath, Narayanan}, year={2023}, month={Jul} }
 @article{karanam_goenaga_underwood_2023, title={Quantifying Uncertainty with Pavement Performance Models: Comparing Bayesian and Non-Parametric Methods}, volume={3}, ISSN={["2169-4052"]}, DOI={10.1177/03611981231155188}, abstractNote={ An important part of pavement management systems is accurately estimating the performance-time-degradation relationship. One common approach to establishing this relationship is to use performance family curves. These curves are developed by collecting performance data at specific points in time and collectively shifting pavements of various ages to identify the probable underlying function. This paper compares two alternative methods for characterizing such a family curve function. First, a Bayesian method (Method-A) is used, which fits both the family curve and the shift factor function in parallel by assuming a Beta distribution for pavement performance condition rating (PCR). Second, a non-parametric method (Method-B) is developed, which fits the model in two steps; (1) by fitting the family; and (2) by horizontal shift to minimize the error. PCR values from flexible pavements in North Carolina (NC-PCR) are used for this comparison. These data include a total of 30,988 pavement sections segregated according to surface type and traffic level. Data from 2013 to 2015 are used for model calibration, and data from 2016 are used for model validation. The root means square error and k-fold cross-validation test are used to conduct the comparison, and Method-A is found to be preferred. The uncertainty in both models is quantified and compared. On the basis of this uncertainty, the Bayesian method is preferred, but in cases with large data sets, a non-parametric method does result in lower uncertainty. }, journal={TRANSPORTATION RESEARCH RECORD}, author={Karanam, Gnana Deepika and Goenaga, Boris and Underwood, Benjamin Shane}, year={2023}, month={Mar} }
 @article{goenaga_karanam_underwood_2022, title={Method to Reduce Uncertainty in the Prediction of Pavement Condition With a Lower Sample Frequency}, volume={4}, ISSN={["2169-4052"]}, DOI={10.1177/03611981221086636}, abstractNote={ In this paper, the effect of missing pavement condition observations in the predictions of the future state of a road network was evaluated. Real data from North Carolina were used for this purpose. First, the auto-regression method was compared against the most common “family-curve” modeling approach. It was found that the auto-regression method improves the predictive accuracy of predictions, at both project and network levels. By using the auto-regression method over the “family-curve” approach it is possible to reduce, on average, the Mean Absolute Percent Error of the predictions by 40%. Second, this paper evaluates the case in which a reduced survey frequency is unavoidable, and state highway agencies might need to plan the network maintenance based on historical observations and the subsample of the current condition. Observations of the Pavement Condition Rating for years 2013–2019 were used to define four different scenarios of reduced survey frequency: Scenario 1—“business-as-usual,” where the entire network is surveyed every year; Scenario 2—“reduced-sampling,” analyzed the case where the entire network is surveyed every other year; Scenario 3—“halfway-sampling,” evaluates the case where only half of the network is surveyed every year; and Scenario 4—“least-sampling,” considers the case where only a third of the network is monitored every year. Scenario 1 was used as the baseline of comparison, and as expected it was found that whenever possible the network should be monitored annually; however, if that is not feasible the best option, from the ones evaluated in the paper, should be Scenario 3. }, journal={TRANSPORTATION RESEARCH RECORD}, author={Goenaga, Boris and Karanam, Deepika and Underwood, Benjamin Shane}, year={2022}, month={Apr} }
 @article{gulzar_goenaga_underwood_2022, title={Novel Index for Vulnerability Assessment of Flexible Pavement Infrastructure to Temperature Rise: Case Study of Developing Countries}, volume={28}, ISSN={["1943-555X"]}, url={https://doi.org/10.1061/(ASCE)IS.1943-555X.0000669}, DOI={10.1061/(ASCE)IS.1943-555X.0000669}, abstractNote={Road infrastructure is engineered to perform through constant exposure to climatological stressors. Due to climate change in particular, expected rises in the average ambient and extreme temperatures, pavement performance might deviate from what was originally predicted at the design stage. This poses serious risks to the long-term performance of this infrastructure because the capacity of a transportation network to provide an acceptable level of service over the period that it was intended for is also seriously affected. However, identifying where potential risks are greatest and where more involved planning and prioritizing is needed is hampered by the lack of vulnerability assessment methods that appropriately integrate failure pathways and engineering decisions. In this study, a new vulnerability index is proposed—extent of pavement grade reliability loss (EPGRL), which has the capacity to capture both flexible pavement performance and transportation serviceability. The index is based on two assumptions. First, flexible pavement performance is directly related to the inherent rheological properties of the asphalt binder, which can be estimated from the performance binder grade requirements for a locale. Second, the level of service of a road network can be represented by its connectivity, expressed here by a network centrality measure, the betweenness score. Two developing countries, Colombia and India, were selected to analyze the capabilities of the EPGRL. The results obtained indicate the EPGRL captures the available performance capability of pavement infrastructure together with the importance of transportation network elements. Hence, it can be used as a tool to evaluate and quantify the vulnerability of transportation infrastructure to future climate change.}, number={1}, journal={JOURNAL OF INFRASTRUCTURE SYSTEMS}, author={Gulzar, Saqib and Goenaga, Boris and Underwood, B. Shane}, year={2022}, month={Mar} }
 @article{goenaga_matini_karanam_underwood_2021, title={Disruption and Recovery: Initial Assessment of COVID-19 Traffic Impacts in North Carolina and Virginia}, volume={147}, ISSN={["2473-2893"]}, DOI={10.1061/JTEPBS.0000518}, abstractNote={AbstractThe coronavirus disease of 2019 (COVID-19) pandemic has affected every aspect of peoples’ lives, including their mobility. In this study, the impact of closures related to the pandemic on t...}, number={4}, journal={JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS}, author={Goenaga, Boris and Matini, Narges and Karanam, Deepika and Underwood, B. Shane}, year={2021}, month={Apr} }
 @article{goenaga_underwood_fuentes_2020, title={Effect of Speed Bumps on Pavement Condition}, volume={2674}, ISBN={2169-4052}, DOI={10.1177/0361198120927005}, abstractNote={ Speed bumps are efficient traffic calming devices that allow transport authorities to control vehicle speeds and improve safety in specific locations. Though frequently used in residential areas, they have become increasing prevalent in other higher volume roadways (particularly in developing countries), because of their effectiveness, low-cost of implementation, and easy installation process. However, in these countries there is no proper technical guidance for speed bump design and implementation, which is why one can often find these devices placed on an arterial highway or on roads where the proportion of trucks is high. The most important consequence of placing a speed bump on a road with large numbers of trucks is that the pavement deterioration process will accelerate as a result of the induced vibrations and bouncing of a truck’s suspension. In this paper the relationship between the bump geometry—length and height—and the dynamic load transmitted to the pavement is studied. A full truck model has been used to simulate the vehicle dynamics while passing over the bump, to estimate the demand imposed over the pavement. Damage was calculated for each simulation scenario using a combination of linear-elastic analysis and empirical damage functions. The geometry that leads to less damage is the circular, with a minimum length of two meters and a maximum height of ten centimeters. }, number={9}, journal={Transportation Research Record}, publisher={SAGE Publications Sage CA: Los Angeles, CA}, author={Goenaga, Boris and Underwood, Shane and Fuentes, Luis}, year={2020}, pages={66–82} }
 @inbook{coronell_calle_goenaga_2020, place={Bogota D.C., Colombia}, title={Incentivar el aprendizaje significativo con el uso de tutores virtuales}, ISBN={9789586800877}, booktitle={Buenas prácticas de assessment en programas de ingeniería}, publisher={Asociacion Colobiana de Facultades de Ingenieria / Universidad del Norte}, author={Coronell, Garis and Calle, Marie and Goenaga, Boris}, editor={Diaz, Amparo Camacho and Gonzalez Araujo, Luis AlbertoEditors}, year={2020} }
 @article{goenaga_cantillo_2020, title={Willingness to pay for freight travel time savings: contrasting random utility versus random valuation}, volume={47}, number={2}, journal={Transportation}, publisher={Springer US}, author={Goenaga, Boris and Cantillo, Victor}, year={2020}, pages={705–736} }
 @article{goenaga_fuentes_mora_2019, title={A practical approach to incorporate roughness-induced dynamic loads in pavement design and performance prediction}, volume={44}, number={5}, journal={Arabian Journal for Science and Engineering}, publisher={Springer Berlin Heidelberg}, author={Goenaga, Boris and Fuentes, Luis and Mora, Otto}, year={2019}, pages={4339–4348} }
 @inproceedings{coronell_calle_goenaga_2019, title={Meaningful learning through virtual tutors: a case study}, booktitle={2019 IEEE Global Engineering Education Conference (EDUCON)}, author={Coronell, Garis and Calle, Maria and Goenaga, Boris}, year={2019}, pages={276–279} }
 @inproceedings{goenaga silvera_fuentes_mora_2017, title={Effect of Road Roughness and Vehicle Speed on Dynamic Load Prediction and Pavement Performance Reduction}, booktitle={Proceedings of the Transportation Research Board 96th Annual Meeting}, author={Goenaga Silvera, Boris and Fuentes, Luis G. and Mora, Otto}, year={2017} }
 @article{goenaga_fuentes_mora_2017, title={Evaluation of the methodologies used to generate random pavement profiles based on the power spectral density: An approach based on the international roughness index | Análisis de las metodologías utilizadas para generar perfiles aleatorios de pavimento con base en la densidad espectral de potencia (DEP): Un enfoque ajuste basado en el índice de rugosidad internacional}, volume={37}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-85018704400&partnerID=MN8TOARS}, DOI={10.15446/ing.investig.v37n1.57277}, abstractNote={The pavement roughness is the main variable that produces the vertical excitation in vehicles. Pavement profiles are the main determinant of (i) discomfort perception on users and (ii) dynamic loads generated at the tire-pavement interface, hence its evaluation constitutes an essential step on a Pavement Management System. The present document evaluates two specific techniques used to simulate pavement profiles; these are the shaping filter and the sinusoidal approach, both based on the Power Spectral Density. Pavement roughness was evaluated using the International Roughness Index (IRI), which represents the most used index to characterize longitudinal road profiles. Appropriate parameters were defined in the simulation process to obtain pavement profiles with specific ranges of IRI values using both simulation techniques. The results suggest that using a sinusoidal approach one can generate random profiles with IRI values that are representative of different road types, therefore, one could generate a profile for a paved or an unpaved road, representing all the proposed categories defined by ISO 8608 standard. On the other hand, to obtain similar results using the shaping filter approximation a modification in the simulation parameters is necessary. The new proposed values allow one to generate pavement profiles with high levels of roughness, covering a wider range of surface types. Finally, the results of the current investigation could be used to further improve our understanding on the effect of pavement roughness on tire pavement interaction. The evaluated methodologies could be used to generate random profiles with specific levels of roughness to assess its effect on dynamic loads generated at the tire-pavement interface and user’s perception of road condition.}, number={1}, journal={Ingenieria e Investigacion}, author={Goenaga, B. and Fuentes, L. and Mora, O.}, year={2017}, pages={49–57} }
 @inproceedings{fuentes_goenaga_reyes_alvarez_2014, title={Development of pavement performance prediction models for the Colombian Highway Network}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-84905870467&partnerID=MN8TOARS}, DOI={10.1061/9780784478462.019}, abstractNote={A pavement management system (PMS) consists of a set of defined procedures for collecting, analyzing, maintaining, and reporting pavement data to provide an aid tool in the decision-making process. Modeling of pavement performance is essential to pavement management. A transition probability matrix (TPM) can be used to model pavement deterioration with time. In the present investigation, the derivation of transition matrices was based on historic data of the International Roughness Index (IRI). Data used on this investigation were collected on a specific program called Corredores de Mantenimiento integral implemented by the Colombian National Highway Institute (INVIAS) from 2005 to 2009. Results indicate that the IRI was sensitive to short-term effects; therefore, it was possible to establish a model to accurately predict its condition for the available data.}, number={246 GSP}, booktitle={Geotechnical Special Publication}, author={Fuentes, L.G. and Goenaga, B. and Reyes, O. and Alvarez, A.}, year={2014}, pages={155–162} }
 @inbook{fuentes_goenaga_reyes_alvarez_2014, title={Development of pavement performance prediction models for the Colombian Highway Network}, booktitle={Design, Analysis, and Asphalt Material Characterization for Road and Airfield Pavements}, author={Fuentes, Luis G and Goenaga, Boris and Reyes, Oscar and Alvarez, Allex}, year={2014}, pages={155–162} }
 @article{fuentes_goenaga_reyes_alvarez_2014, title={Geotechnical Special Publication}, author={Fuentes, Luis G and Goenaga, Boris and Reyes, Oscar and Alvarez, Allex}, year={2014} }