Browsing by Author "Correa Barahona, Diego Estuardo"

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Análisis de la siniestralidad y metodología para la identificación de tramos de concentración de accidentes de tránsito en la ciudad de Cuenca
(Universidad de Cuenca, 2022-09-19) Gavilanes Barahona, Héctor Fernando; Correa Barahona, Diego Estuardo
The adequate identification of Traffic Accident Concentration Points (PCAT) is of great importance for cities. One of the most recommended methods for identifying these points is the Empirical Bayesian Method (MEB), which is known to be statistically superior to conventional methods, since it contemplates statistical phenomena typical of random variables, as is the case from the regression to the mean. In the present study, the MEB was applied to the most conflictive intersections identified by processing the accident data of the city of Cuenca registered by the Municipal Public Company of Mobility, Transit and Transportation of Cuenca (EMOV EP) in the period 2016 – 2021. The analysis of results indicates that the vehicles involved, 63.76% are private vehicles, 19.37% are motorcycles and the other types of vehicles have a value of less than 5%. Among the most common causes are disrespecting traffic signs 21.05%, influence of alcohol 19.39% and neglect of traffic conditions 18.68%; being the year with the highest accident rate 2018. From the application of the MEB, it was determined that the intersections with the highest probability of occurrence of accidents are: Av. de las Américas and Calle Turuhuaico with 99.64%, Av. de las Américas and Av. España with 43.69%, Av. de las Américas and Av. Octavio Chacón Moscoso with 27.11%, Av. de las Américas and Av. Remigio Crespo with 27.01%, Av. Héroes de Verdeloma and Av. Gil Ramirez Dávalos with 20.44%, Av. las Américas and Av. Abelardo J. Andrade with 15.52%. The proper identification of these PCAT through the proposed method will be of great help to the Institutions that manage mobility and road safety in the city.
Análisis de los niveles de servicio (LOS) en la Troncal de la sierra ruta E35 autopista Cuenca – Azogues
(Universidad de Cuenca, 2025-03-31) Moreira Palacios, Jenniffer Alexis; Zhunio Lituma, Leonardo Xavier; Correa Barahona, Diego Estuardo
This paper analyzes the Level of Service (LOS) of a section of the Troncal de la Sierra Route E35, located between the IESS roundabout and the Guangarcucho interchange, in Cuenca, Ecuador. To do so, the methods established in the Highway Capacity Manual 2010 (HCM 2010) will be applied in order to evaluate the current performance and project the behavior of the road in the future. Data were collected through automatic and manual gauging, obtaining information such as Annual Daily Average Traffic (ADAT), free flow speed, vehicle density, peak hourly volume and the Peak Hour Factor (PHF). The data were adjusted considering daily, weekly and monthly temporal factors to ensure their accuracy. The results of the analysis reveal the current operational status of the segment and allow the impact of vehicle growth to be projected over the next 20 years. Possible deteriorations in the level of service due to the increase in vehicular demand are identified, which could cause the collapse of certain sections of the road if preventive measures are not taken. Finally, the study proposes various strategies to improve road infrastructure and traffic management. These recommendations are aimed at maintaining acceptable service levels in the medium and long term, ensuring the sustainability of the road in the face of increased vehicular traffic.
Análisis de niveles de servicio mediante la aplicación del método HCM: estudio de caso Megamaxi Cuenca
(Universidad de Cuenca, 2024-09-23) Molina Toledo, Denisse Andrea; Correa Barahona, Diego Estuardo
The study "Analysis of Service Levels Using the HCM Method: Case Study Megamaxi Cuenca" focuses on evaluating the impact of the Megamaxi Wayra shopping center on the traffic dynamics in Av. 24 de Mayo and its surroundings in Cuenca, Ecuador. Using manual and automatic vehicle counts, changes in traffic flow and service levels were analyzed before and after the opening of the shopping center. The methodology employed included calculating the Annual Average Daily Traffic (AADT), creating origin-destination matrices, and using the SUMO simulation software to model different traffic scenarios. Additionally, the traffic light phases and intersection geometry were evaluated. The study identified the operational conditions of the roads and highlighted the importance of adequate traffic planning and management in urbanized areas. This analysis provides a basis for future road interventions and offers valuable tools for urban planners and traffic authorities, facilitating informed decision-making to improve mobility and reduce congestion in the area surrounding the Megamaxi Wayra shopping center.
Análisis del uso correcto de los carriles exclusivos del transporte público urbano en el Centro Histórico de Cuenca y sus repercusiones económicas
(Universidad de Cuenca, 2024-09-13) Zarate Cuenca, Daviel Lucas; Zumba Contreras, Cesar Augusto; Correa Barahona, Diego Estuardo; Estrella Maldonado, René Gustavo
This paper investigates the implementation of exclusive lanes as an operational enhancement for public transportation, particularly in areas with high private vehicle demand. The establishment of these lanes facilitates the unobstructed movement of buses, thereby reducing delays and enhancing citizen productivity. However, misuse by private vehicles, utilization as loading or unloading zones, and taxi services undermines the lanes’ primary purpose of providing exclusive access for public transportation. This measure seeks to prioritize the conveyance of the maximum number of individuals over other private transportation modes. The study focuses on the exclusive lanes in the Historic Center of Cuenca, Ecuador. Through a travel time survey, delays averaging 2 to 3 minutes in these lanes were identified, compared to the ideal scenario as outlined by the “Transit Capacity and Quality of Service Manual” and modeled using the SUMO program. Additionally, the economic losses resulting from these delays were calculated bases on the salary levels of public transportation users and the estimated average demand, revealing and annual economic impact of approximately $4’500,000. Finally, the paper proposes solutions and measures to optimize the utilization of the exclusive lanes, ensuring they fulfill their intended purpose effectively.
Analysis and prediction of New York City taxi and Uber demands
(2023) Correa Barahona, Diego Estuardo
Taxi and Uber are imperative transportation modes in New York City (NYC). This paper investigates the spatiotemporal distribution of pick-ups of medallion taxis (yellow), Street Hail Livery Service taxis (green), and Uber services in NYC, within the five boroughs: Brooklyn, the Bronx, Manhattan, Queens, and Staten Island. Regression models and machine learning algorithms such as XGboost and random forest are used to predict the ridership of taxis and Uber dataset combined in NYC, given a time window of one-hour and locations within zip-code areas. The dataset consists of over 90 million trips within the period April-September 2014, yellow with 86% the most used in the city, followed by green with 9%, and Uber with 5%. In the outer boroughs, the number of pick-ups is 12.9 million (14%), while 77.9 million (86%) were made in Manhattan only. Yellow is the predominant option in Manhattan and Queens, while green is preferred in Brooklyn and Bronx. In Staten Island, the market is shared between the three services. However, Uber presents a highly rising trend of 81% in Manhattan and 145% in outer boroughs during the analysis period. The regression model XGboost performed best because of its exceptional capacity to catch complex feature dependencies. The XGboost model accomplished an estimation of 38.51 for RMSE and 0.97 for R^2. This model could present valuable insights to taxi companies, decision-makers, and city planners in responding to questions, e.g., how to situate taxis where they are required, understand how ridership shifts over time, and the total number of taxis needed to dispatch to meet de the demand
Diseño de una alternativa vial de acceso a la casa de máquinas del Proyecto Hidroeléctrico Ocaña II: Análisis de costos y tiempo de construcción
(Universidad de Cuenca, 2025-04-01) Paute Paute, Adriana Estefania; Valdez Quishpi, Karen Lucia; Correa Barahona, Diego Estuardo; Garófalo Maldonado, Pablo Alejandro
This technical project focuses on the geometric design of a road alternative to access the powerhouse of the Ocaña II Hydroelectric Project, located on the left bank of the Cañar River, starting from the Zhucay community, in compliance with the design criteria required by ELECAUSTRO S.A. Currently, the access design is proposed along the right bank. This study compares both options from a technical perspective and analyzes construction costs. Preliminary field studies, geological reviews, road geometric design, budget estimation, and construction schedule development were conducted. These approaches allowed the identification of differences between both alternatives, considering the terrain's topography and the existing paths on the left bank. It was demonstrated that the new road alternative, although requiring greater rock excavation and the construction of retaining walls along the riverbank in sections of the road axis, results in a cost savings of 43.85% and a reduction in construction time by 27 days compared to the current design, which involves building a new bridge at the end of its route to cross to the left bank where the powerhouse is located.
Distribución Transversal en Tableros de Puentes de Hormigón Armado utilizando el método de Guyón-Massonnet-Barés y el método AASHTO
(2004) Correa Barahona, Diego Estuardo; Gómez Díaz, Joaquín
Estimación de la demanda de taxis del aeropuerto Mariscal Lamar de la ciudad de Cuenca
(Universidad de Cuenca, 2025-09-23) Buri Guamán, Edwin Humberto; Correa Barahona, Diego Estuardo
The availability of taxi services at the Mariscal Lamar Airport in Cuenca presents significant challenges, particularly during peak hours, resulting in long passenger wait times and inefficient service distribution. To address this issue, the objective of this study was to estimate taxi demand using predictive models that allow for anticipating operational conditions and improving transportation planning in the airport area. The methodology involved primary data collection through manual counts conducted on-site for one week, complemented by variables such as number of flights, weather conditions, and hourly characteristics. To strengthen the analysis, a Monte Carlo simulation was applied to expand the database and capture the inherent variability in demand behavior. Subsequently, three models were trained and compared: multiple linear regression, Poisson regression, and a Random Forest model, with the latter demonstrating the best performance (RMSE = 7.91, R² = 0.899). The results show that variables such as the number of passengers per airline, the average number of passengers per taxi, and the time of day have the greatest influence on demand. In conclusion, the use of predictive models combined with simulation techniques allows for accurate estimation of taxi demand at the airport, contributing to more efficient ground transportation management.
Impacto del COVID 19 en el Sistema de Transporte Público de Cuenca
(Universidad de Cuenca, 2025-03-27) Quito Pacurucu, Emilia Carolina; Correa Barahona, Diego Estuardo
The COVID-19 pandemic, caused by the SARS-CoV-2 virus, originated in Wuhan, China in late 2019 and spread to Ecuador in February 2020. The World Health Organization declared it as a global pandemic on March 11, 2020. In response, Ecuadorian authorities implemented a series of measures including lockdowns, closure of establishments, and suspension of public transportation services to curb the spread of the virus. This research aims to analyze the impact of the pandemic on the demand for public transportation users in Cuenca, Ecuador, focusing on buses and the tram, from 2019 to 2023. Monthly user data is analyzed alongside confirmed COVID-19 cases and contextualized with key events related to the pandemic's progression, such as the enforcement of restrictive measures, commencement of vaccination campaigns, resurgence of cases due to variants, and the conclusion of the health emergency in May 2023. The findings reveal a substantial decline in public transportation demand at the onset of the pandemic, with fluctuations over time. The study concludes that the health crisis led to a significant reduction in public transportation demand, influenced by various factors like case resurgences, variant strains, and vaccination efforts. Neverthless, by the conclusion of 2023, there was a restoration of normalcy in terms of urban mobility.
Modelado de tráfico vehicular a partir de datos de velocidad en autopistas en condiciones de tráfico mixto
(Universidad Cuenca, 2025-09-23) Cárdenas Ávila, Elián José; Gordillo Sanango, Braulio Enrique; Correa Barahona, Diego Estuardo
Macroscopic analysis of vehicular dynamics on urban highways is based on spatiotemporal studies that help understand traffic behavior according to road characteristics and the measurement systems in place. The main objective of this study was to analyze and determine a macroscopic model to characterize vehicular behavior on the Cuenca–Azogues highway, using datasets obtained from speed radars and advanced analytical techniques. Imputation methods were applied to correct missing data, using Monte Carlo simulation due to its ability to capture traffic variability. In the macroscopic modeling, after analyzing maximum roadway states, the Greenberg model showed the best fit (R² > 0.7). The adjusted Speed Performance Index (VPI) allowed the identification of critical congestion periods, with up to 93.29% of the data showing intense congestion at radars such as Vista Linda. Additionally, distinct patterns were observed between weekdays and weekends, with higher congestion occurring from 07:00 to 08:00 and from 17:00 to 19:00. Finally, Self-Organizing Map (SOM) neural networks were used to classify traffic states, identifying gradual transitions and clusters predominantly associated with medium congestion. The results contribute to a better understanding of the road system in urban corridors and provide solid tools for traffic planning and management in environments with incomplete or hard-to-access records.
Optimización de la gestión de semáforos en intersecciones urbanas mediante detección y clasificación de vehículos con inteligencia artificial
(Universidad de Cuenca, 2025-09-24) Astudillo Palacio, Bernardo Josué; Bueno Villavicencio, Juan Diego; Correa Barahona, Diego Estuardo
This thesis presents a methodology for optimizing traffic signal management at urban intersections through the application of artificial intelligence based on convolutional neural networks. A vehicle detection and classification model were developed using the YOLOv8 architecture, trained on a custom dataset composed of images extracted from intersections in Cuenca, Ecuador. For object tracking and real-time vehicle counting, the DeepSORT algorithm was integrated, enabling accurate analysis of classified traffic flows. The system’s outputs were then incorporated into the SUMO traffic simulation platform to evaluate three scenarios: the current configuration with static signals, a modified layout with geometric adjustments, and an adaptive traffic control scheme informed by the detection model. Results demonstrate that an AI-based adaptive approach can substantially reduce waiting times without compromising service levels, thus improving operational efficiency in complex intersections. This framework, once refined, represents a scalable and technically viable solution for modern traffic management systems.
Optimización semafórica de la avenida 24 de Mayo de la ciudad de Cañar
(Universidad de Cuenca, 2024-09-06) Samaniego Chiriboga, Ronaldo Camilo; Santacruz Fernández, Antonio Sebastián; Correa Barahona, Diego Estuardo
Currently, the increase in the use of private vehicles has caused traffic congestion, delays, accidents and environmental problems in most cities. This increase arises from several causes such as ease of access to automobiles, population growth, lack of public transportation systems, among others. This problem is reflected in the city of Cañar, especially along Avenue 24 de Mayo, the most important urban road artery. For this reason, it is important to look for solutions to solve this problem. One of the most applied methodologies worldwide is Traffic Light Optimization, which has as its fundamental premise, potentially improving traffic operations by significantly reducing delays and improving the Level of Service, based on software specialized in traffic microsimulation. (Advanced Traffic Analysis Center, 2003). This software requires as basic information: the geometry of the road corridor, the vehicle capacity of the traffic light intersections, the vehicle flow during peak hours, the vehicle composition and the traffic light configuration. These technical parameters of traffic engineering are duly detailed in the Highway Capacity Manual (HCM-2010).
Una apuesta transformadora. Estudio de la implementación del “Tranvía”, el primer sistema de transporte masivo en la ciudad de Cuenca, Ecuador
(Universidad de Cuenca, 2025-09-24) Molina Valverde, Eduardo Andrés; Molina Valverde, Mateo Nicolás; Correa Barahona, Diego Estuardo
This document addresses a matter of great relevance in the city of Cuenca, Ecuador: project “Tranvía Cuatro Ríos de Cuenca”. It analyzes the urban context of the city in terms of its mobility and projected growth, from which the proposal emerged; the construction process the project underwent; the social and economic impact it had; the purpose for which the project was implemented; and, upon its commissioning, the objectives it has achieved to date, as well as those that remain unmet and the reasons why these goals have yet to be fulfilled. The report compiles and summarizes official documents from the Municipal Government of Cuenca (including contracts, termination agreements with the consortium responsible for the civil works, final reports from citizen oversight groups, and financing data), press articles, interviews with subject matter experts, and preliminary studies of the project. Finally, it presents a comparative analysis of the travel time savings offered by the tram versus the city’s urban bus system, expressed in economic terms. It also quantifies the advantages of the tram as an energy-efficient and sustainable mode of transportation. Additionally, it highlights certain periods of the project's development for which there is a lack of publicly available information, with the aim of encouraging future research.