Análisis y propuestas de solución de trafico vehicular y peatonal de la carrera 8va con calle 21 de la ciudad de Pereira
El análisis se da en un proceso que se lleva a cabo con el fin de evaluar y estudiar las condiciones de una vía o camino. Este análisis se basa en el objetivo principal de identificar los problemas y deficiencias existentes en el tráfico vehicular, así como las soluciones propuestas y más para garan...
- Autores:
-
Idarraga Gaviria, Sebastian
Muñoz Betancourt, Jose Fernando
- Tipo de recurso:
- Fecha de publicación:
- 2023
- Institución:
- Universidad Libre
- Repositorio:
- RIU - Repositorio Institucional UniLibre
- Idioma:
- OAI Identifier:
- oai:repository.unilibre.edu.co:10901/28135
- Acceso en línea:
- https://hdl.handle.net/10901/28135
- Palabra clave:
- Análisis vial
trafico vial
intersección vial
seguridad vial
optimización de tránsito
Road analysis
road traffic
road intersection
road safety
traffic optimization
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/2.5/co/
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dc.title.spa.fl_str_mv |
Análisis y propuestas de solución de trafico vehicular y peatonal de la carrera 8va con calle 21 de la ciudad de Pereira |
dc.title.alternative.spa.fl_str_mv |
Analysis and proposals for vehicular and pedestrian traffic solutions of carrera 8va with calle 21 in the city of Pereira |
title |
Análisis y propuestas de solución de trafico vehicular y peatonal de la carrera 8va con calle 21 de la ciudad de Pereira |
spellingShingle |
Análisis y propuestas de solución de trafico vehicular y peatonal de la carrera 8va con calle 21 de la ciudad de Pereira Análisis vial trafico vial intersección vial seguridad vial optimización de tránsito Road analysis road traffic road intersection road safety traffic optimization |
title_short |
Análisis y propuestas de solución de trafico vehicular y peatonal de la carrera 8va con calle 21 de la ciudad de Pereira |
title_full |
Análisis y propuestas de solución de trafico vehicular y peatonal de la carrera 8va con calle 21 de la ciudad de Pereira |
title_fullStr |
Análisis y propuestas de solución de trafico vehicular y peatonal de la carrera 8va con calle 21 de la ciudad de Pereira |
title_full_unstemmed |
Análisis y propuestas de solución de trafico vehicular y peatonal de la carrera 8va con calle 21 de la ciudad de Pereira |
title_sort |
Análisis y propuestas de solución de trafico vehicular y peatonal de la carrera 8va con calle 21 de la ciudad de Pereira |
dc.creator.fl_str_mv |
Idarraga Gaviria, Sebastian Muñoz Betancourt, Jose Fernando |
dc.contributor.advisor.none.fl_str_mv |
Valencia Varela, Andres |
dc.contributor.author.none.fl_str_mv |
Idarraga Gaviria, Sebastian Muñoz Betancourt, Jose Fernando |
dc.subject.spa.fl_str_mv |
Análisis vial trafico vial intersección vial seguridad vial optimización de tránsito |
topic |
Análisis vial trafico vial intersección vial seguridad vial optimización de tránsito Road analysis road traffic road intersection road safety traffic optimization |
dc.subject.subjectenglish.spa.fl_str_mv |
Road analysis road traffic road intersection road safety traffic optimization |
description |
El análisis se da en un proceso que se lleva a cabo con el fin de evaluar y estudiar las condiciones de una vía o camino. Este análisis se basa en el objetivo principal de identificar los problemas y deficiencias existentes en el tráfico vehicular, así como las soluciones propuestas y más para garantizar la seguridad y eficiencia del tránsito. Durante el análisis vial se realizan diferentes estudios y mediciones, como el conteo de vehículos, conteo de peatones, el flujo de tráfico, la capacidad de la vía, entre otros. Estos datos se recogen y analizan para determinar el estado real de la ruta y detectar posibles puntos críticos o zonas de congestión y proponer soluciones en diferentes escenarios. Además, se trata de un aspecto importante como la presencia de frutos o elementos que puedan afectar a la circulación y la existencia de pasos peatonales y ciclovías. Una vez recopilada toda la información se procederá a realizar un diagnóstico de la situación a través del software VISSIM, identificando los problemas y deficiencias encontradas. Una parte de este diagnóstico, estas soluciones sugeridas y más, como la construcción de nuevos carriles, la instalación de señalización adicional, entre otras cosas. El vial de análisis es fundamental para garantizar la seguridad de este y aumentar la movilidad en una zona determinada. Permitir tomar decisiones informadas y planificar acciones que contribuyan a optimizar el tránsito, reducir el tiempo de viaje y prevenir accidentes de tránsito. Además, es una herramienta para el diseño y planificación de nuevas rutas y caminos de modo que la información adecuada sea válida en función de la demanda de tráfico y los patrones de la ruta. En resumen, el análisis del tráfico es un proceso fundamental para comparar y controlar el flujo de vehículos en una zona determinada, donde finalmente se postulan diferentes soluciones posibles para este análisis. |
publishDate |
2023 |
dc.date.created.none.fl_str_mv |
2023-12-13 |
dc.date.accessioned.none.fl_str_mv |
2024-01-25T20:07:15Z |
dc.date.available.none.fl_str_mv |
2024-01-25T20:07:15Z |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_7a1f |
dc.type.local.spa.fl_str_mv |
Tesis de Pregrado |
dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/bachelorThesis |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/10901/28135 |
url |
https://hdl.handle.net/10901/28135 |
dc.relation.references.spa.fl_str_mv |
Agarwal, S., & Vikram, D. (2021). Impact of vehicular traffic stream on pedestrian crossing behavior at an uncontrolled mid-block section. Transportation Research Interdisciplinary Perspectives, 9. https://doi.org/10.1016/j.trip.2021.100298 Arafat, M., Nafis, S. R., Sadeghvaziri, E., & Tousif, F. (2020). A data-driven approach to calibrate microsimulation models based on the degree of saturation at signalized intersections. Transportation Research Interdisciplinary Perspectives, 8. https://doi.org/10.1016/j.trip.2020.100231 Astarita, V., Festa, D. C., Giofrè, V. P., & Guido, G. (2019). Surrogate Safety Measures from Traffic Simulation Models a Comparison of different Models for Intersection Safety Evaluation. Transportation Research Procedia, 37, 219–226. https://doi.org/10.1016/j.trpro.2018.12.186 Cohen, T., & Almarwani, M. (2022). Addressing the unjust treatment of pedestrians at signalised intersections. Transportation Research Procedia, 60, 12–19. https://doi.org/10.1016/j.trpro.2021.12.003 Fan, J., Li, A., Ilahi, A., & Gao, K. (2023). Emission impacts of left-turn lane on light-heavy-duty mixed traffic in signalized intersections: Optimization and empirical analysis. Heliyon, 9(5). https://doi.org/10.1016/j.heliyon.2023.e16260 Bandi, M. M., & George, V. (2020). Microsimulation Modelling in VISSIM on Short-term and Long-term Improvements for Mangalore City Road Network. Transportation Research Procedia, 48, 2725–2743. https://doi.org/10.1016/j.trpro.2020.08.243 Fan, J., Li, A., Ilahi, A., & Gao, K. (2023). Emission impacts of left-turn lane on light-heavy-duty mixed traffic in signalized intersections: Optimization and empirical analysis. Heliyon, 9(5). https://doi.org/10.1016/j.heliyon.2023.e16260 Glushkov, A., Shepelev, V., Vorobyev, A., Mavrin, V., Marusin, A., & Evtykov, S. (2021). Analysis of the intersection throughput at changes in the traffic flow structure. Transportation Research Procedia, 57, 192–199. https://doi.org/10.1016/j.trpro.2021.09.042 Islam, S. M. A. B. Al, Hajbabaie, A., & Aziz, H. M. A. (2020). A real-time network-level traffic signal control methodology with partial connected vehicle information. Transportation Research Part C: Emerging Technologies, 121. https://doi.org/10.1016/j.trc.2020.102830 K, H. Priya., Shankar, K. V. R. R., Prasad, C. S. R. K., & Reddy, T. S. (2013). Evaluation of Area Traffic Management Measures Using Microscopic Simulation Model. Procedia - Social and Behavioral Sciences, 104, 815–824. https://doi.org/10.1016/j.sbspro.2013.11.176 Kučera, T., & Chocholáč, J. (2021). Design of the city logistics simulation model using PTV VISSIM software. Transportation Research Procedia, 53, 258–265. https://doi.org/10.1016/j.trpro.2021.02.033 Kumar Sharma, H., Swami, M., & B.L.Swami. (2012). Optimizing Performance of at-grade Intersection with Bus Rapid Transit Corridor and Heterogeneous Traffic. International Journal of Transportation Science and Technology ·, 1(·), 131–146. Lu, Z., Fu, T., Fu, L., Shiravi, S., & Jiang, C. (2016). A video-based approach to calibrating carfollowing parameters in VISSIM for urban traffic. International Journal of Transportation Science and Technology, 5(1), 1–9. https://doi.org/10.1016/j.ijtst.2016.06.001 Nyame-Baafi, E., Adams, C. A., & Osei, K. K. (2018). Volume warrants for major and minor roads left-turning traffic lanes at unsignalized T-intersections: A case study using VISSIM modelling. Journal of Traffic and Transportation Engineering (English Edition), 5(5), 417– 428. https://doi.org/10.1016/j.jtte.2018.01.005 Olayode, I. O., Tartibu, L. K., & Okwu, M. O. (2021). Prediction and modeling of traffic flow of human-driven vehicles at a signalized road intersection using artificial neural network model: A South African road transportation system scenario. Transportation Engineering, 6. https://doi.org/10.1016/j.treng.2021.100095 Oskarbski, J., Guminska, L., Miszewski, M., & Oskarbska, I. (2016). Analysis of Signalized Intersections in the Context of Pedestrian Traffic. Transportation Research Procedia, 14, 2138–2147. https://doi.org/10.1016/j.trpro.2016.05.229 Otković, I. I., Deluka-Tibljaš, A., & Šurdonja, S. (2020). Validation of the calibration methodology of the micro-simulation traffic model. Transportation Research Procedia, 45, 684–691. https://doi.org/10.1016/j.trpro.2020.02.110 Oyeyemi Olayode, I., Du, B., Kwanda Tartibu, L., & Justice Alex, F. (2023). Traffic flow modelling of long and short trucks using a hybrid artificial neural network optimized by particle swarm optimization. International Journal of Transportation Science and Technology. https://doi.org/10.1016/j.ijtst.2023.04.004 Preston, A., & Pulugurtha, S. S. (2021). Simulating and assessing the effect of a protected intersection design for bicyclists on traffic operational performance and safety. Transportation Research Interdisciplinary Perspectives, 9. https://doi.org/10.1016/j.trip.2021.100329 Shahriar, M. S., Kale, A. K., & Chang, K. H. (2023). DRL-based intersection traffic efficiency enhancement utilizing 5G-NR-V2I data. ICT Express. https://doi.org/10.1016/j.icte.2023.08.002 Siddharth, S. M. P., & Ramadurai, G. (2013). Calibration of VISSIM for Indian Heterogeneous Traffic Conditions. Procedia - Social and Behavioral Sciences, 104, 380–389. https://doi.org/10.1016/j.sbspro.2013.11.131 Tanishita, M., Sekiguchi, Y., & Sunaga, D. (2023). Impact analysis of road infrastructure and traffic control on severity of pedestrian–vehicle crashes at intersections and non-intersections using bias-reduced logistic regression. IATSS Research, 47(2), 233–239. https://doi.org/10.1016/j.iatssr.2023.03.004 Tiriolo, M., Adacher, L., & Cipriani, E. (2014). An Urban Traffic Flow Model to Capture Complex Flow Interactions among Lane Groups for Signalized Intersections. Procedia - Social and Behavioral Sciences, 111, 839–848. https://doi.org/10.1016/j.sbspro.2014.01.118 Vajeeran, A., & De Silva, G. (2020). Identification of Effective Intersection Control Strategies during Peak Hours. Transportation Research Procedia, 48, 687–697. https://doi.org/10.1016/j.trpro.2020.08.069 Wahlstedt, J. (2011). Impacts of bus priority in coordinated traffic signals. Procedia - Social and Behavioral Sciences, 16, 578–587. https://doi.org/10.1016/j.sbspro.2011.04.478 Xu, Z., Zheng, N., Logan, D. B., & Vu, H. L. (2023). Assessing bicycle-vehicle conflicts at urban intersections utilizing a VR integrated simulation approach. Accident Analysis and Prevention, 191. https://doi.org/10.1016/j.aap.2023.107194 Yun, M., & Ji, J. (2013). Delay Analysis of Stop Sign Intersection and Yield Sign Intersection based on VISSIM. Procedia - Social and Behavioral Sciences, 96, 2024–2031. https://doi.org/10.1016/j.sbspro.2013.08.228 Zhou, H., & Huang, F. (2013). Development of Traffic Safety Evaluation Method based on Simulated Conflicts at Signalized Intersections. Procedia - Social and Behavioral Sciences, 96, 881–885. https://doi.org/10.1016/j.sbspro.2013.08.100 |
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Valencia Varela, AndresIdarraga Gaviria, SebastianMuñoz Betancourt, Jose FernandoPereira2024-01-25T20:07:15Z2024-01-25T20:07:15Z2023-12-13https://hdl.handle.net/10901/28135El análisis se da en un proceso que se lleva a cabo con el fin de evaluar y estudiar las condiciones de una vía o camino. Este análisis se basa en el objetivo principal de identificar los problemas y deficiencias existentes en el tráfico vehicular, así como las soluciones propuestas y más para garantizar la seguridad y eficiencia del tránsito. Durante el análisis vial se realizan diferentes estudios y mediciones, como el conteo de vehículos, conteo de peatones, el flujo de tráfico, la capacidad de la vía, entre otros. Estos datos se recogen y analizan para determinar el estado real de la ruta y detectar posibles puntos críticos o zonas de congestión y proponer soluciones en diferentes escenarios. Además, se trata de un aspecto importante como la presencia de frutos o elementos que puedan afectar a la circulación y la existencia de pasos peatonales y ciclovías. Una vez recopilada toda la información se procederá a realizar un diagnóstico de la situación a través del software VISSIM, identificando los problemas y deficiencias encontradas. Una parte de este diagnóstico, estas soluciones sugeridas y más, como la construcción de nuevos carriles, la instalación de señalización adicional, entre otras cosas. El vial de análisis es fundamental para garantizar la seguridad de este y aumentar la movilidad en una zona determinada. Permitir tomar decisiones informadas y planificar acciones que contribuyan a optimizar el tránsito, reducir el tiempo de viaje y prevenir accidentes de tránsito. Además, es una herramienta para el diseño y planificación de nuevas rutas y caminos de modo que la información adecuada sea válida en función de la demanda de tráfico y los patrones de la ruta. En resumen, el análisis del tráfico es un proceso fundamental para comparar y controlar el flujo de vehículos en una zona determinada, donde finalmente se postulan diferentes soluciones posibles para este análisis.Universidad Libre Seccional Pereira -- Facultad de Ingeniería -- Ingeniería CivilAnalysis is a process that is carried out in order to evaluate and study the conditions of a road or road. This analysis is based on the main objective of identifying existing problems and deficiencies in vehicular traffic, as well as proposed solutions and more to ensure traffic safety and efficiency. During the road analysis, different studies and measurements are carried out, such as vehicle counting, pedestrian counting, traffic flow, road capacity, among others. This data is collected and analysed to determine the actual state of the route and detect possible hotspots or areas of congestion and propose solutions in different scenarios. In addition, it is an important aspect such as the presence of fruits or elements that may affect circulation and the existence of pedestrian crossings and cycle paths. Once all the information has been collected, a diagnosis of the situation will be carried out through the VISSIM software, identifying the problems and deficiencies found. A part of this diagnosis, these suggested solutions, and more, such as the construction of new lanes, the installation of additional signage, among other things. The test vial is essential to ensure the safety of the test and increase mobility in a given area. Allow informed decisions to be made and actions to be planned that contribute to optimizing traffic, reducing travel time and preventing traffic accidents. In addition, it is a tool for the design and planning of new routes and roads so that the right information is valid based on traffic demand and route patterns. In summary, traffic analysis is a fundamental process to compare and control the flow of vehicles in a given area, where different possible solutions for this analysis are finally postulated.PDFhttp://creativecommons.org/licenses/by-nc-nd/2.5/co/Atribución-NoComercial-SinDerivadas 2.5 Colombiainfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Análisis vialtrafico vialintersección vialseguridad vialoptimización de tránsitoRoad analysisroad trafficroad intersectionroad safetytraffic optimizationAnálisis y propuestas de solución de trafico vehicular y peatonal de la carrera 8va con calle 21 de la ciudad de PereiraAnalysis and proposals for vehicular and pedestrian traffic solutions of carrera 8va with calle 21 in the city of PereiraTesis de Pregradoinfo:eu-repo/semantics/bachelorThesishttp://purl.org/coar/resource_type/c_7a1fAgarwal, S., & Vikram, D. (2021). Impact of vehicular traffic stream on pedestrian crossing behavior at an uncontrolled mid-block section. Transportation Research Interdisciplinary Perspectives, 9. https://doi.org/10.1016/j.trip.2021.100298Arafat, M., Nafis, S. R., Sadeghvaziri, E., & Tousif, F. (2020). A data-driven approach to calibrate microsimulation models based on the degree of saturation at signalized intersections. Transportation Research Interdisciplinary Perspectives, 8. https://doi.org/10.1016/j.trip.2020.100231Astarita, V., Festa, D. C., Giofrè, V. P., & Guido, G. (2019). Surrogate Safety Measures from Traffic Simulation Models a Comparison of different Models for Intersection Safety Evaluation. Transportation Research Procedia, 37, 219–226. https://doi.org/10.1016/j.trpro.2018.12.186Cohen, T., & Almarwani, M. (2022). Addressing the unjust treatment of pedestrians at signalised intersections. Transportation Research Procedia, 60, 12–19. https://doi.org/10.1016/j.trpro.2021.12.003Fan, J., Li, A., Ilahi, A., & Gao, K. (2023). Emission impacts of left-turn lane on light-heavy-duty mixed traffic in signalized intersections: Optimization and empirical analysis. Heliyon, 9(5). https://doi.org/10.1016/j.heliyon.2023.e16260Bandi, M. M., & George, V. (2020). Microsimulation Modelling in VISSIM on Short-term and Long-term Improvements for Mangalore City Road Network. Transportation Research Procedia, 48, 2725–2743. https://doi.org/10.1016/j.trpro.2020.08.243Fan, J., Li, A., Ilahi, A., & Gao, K. (2023). Emission impacts of left-turn lane on light-heavy-duty mixed traffic in signalized intersections: Optimization and empirical analysis. Heliyon, 9(5). https://doi.org/10.1016/j.heliyon.2023.e16260Glushkov, A., Shepelev, V., Vorobyev, A., Mavrin, V., Marusin, A., & Evtykov, S. (2021). Analysis of the intersection throughput at changes in the traffic flow structure. Transportation Research Procedia, 57, 192–199. https://doi.org/10.1016/j.trpro.2021.09.042Islam, S. M. A. B. Al, Hajbabaie, A., & Aziz, H. M. A. (2020). A real-time network-level traffic signal control methodology with partial connected vehicle information. Transportation Research Part C: Emerging Technologies, 121. https://doi.org/10.1016/j.trc.2020.102830K, H. Priya., Shankar, K. V. R. R., Prasad, C. S. R. K., & Reddy, T. S. (2013). Evaluation of Area Traffic Management Measures Using Microscopic Simulation Model. Procedia - Social and Behavioral Sciences, 104, 815–824. https://doi.org/10.1016/j.sbspro.2013.11.176Kučera, T., & Chocholáč, J. (2021). Design of the city logistics simulation model using PTV VISSIM software. Transportation Research Procedia, 53, 258–265. https://doi.org/10.1016/j.trpro.2021.02.033Kumar Sharma, H., Swami, M., & B.L.Swami. (2012). Optimizing Performance of at-grade Intersection with Bus Rapid Transit Corridor and Heterogeneous Traffic. International Journal of Transportation Science and Technology ·, 1(·), 131–146.Lu, Z., Fu, T., Fu, L., Shiravi, S., & Jiang, C. (2016). A video-based approach to calibrating carfollowing parameters in VISSIM for urban traffic. International Journal of Transportation Science and Technology, 5(1), 1–9. https://doi.org/10.1016/j.ijtst.2016.06.001Nyame-Baafi, E., Adams, C. A., & Osei, K. K. (2018). Volume warrants for major and minor roads left-turning traffic lanes at unsignalized T-intersections: A case study using VISSIM modelling. Journal of Traffic and Transportation Engineering (English Edition), 5(5), 417– 428. https://doi.org/10.1016/j.jtte.2018.01.005Olayode, I. O., Tartibu, L. K., & Okwu, M. O. (2021). Prediction and modeling of traffic flow of human-driven vehicles at a signalized road intersection using artificial neural network model: A South African road transportation system scenario. Transportation Engineering, 6. https://doi.org/10.1016/j.treng.2021.100095Oskarbski, J., Guminska, L., Miszewski, M., & Oskarbska, I. (2016). Analysis of Signalized Intersections in the Context of Pedestrian Traffic. Transportation Research Procedia, 14, 2138–2147. https://doi.org/10.1016/j.trpro.2016.05.229Otković, I. I., Deluka-Tibljaš, A., & Šurdonja, S. (2020). Validation of the calibration methodology of the micro-simulation traffic model. Transportation Research Procedia, 45, 684–691. https://doi.org/10.1016/j.trpro.2020.02.110Oyeyemi Olayode, I., Du, B., Kwanda Tartibu, L., & Justice Alex, F. (2023). Traffic flow modelling of long and short trucks using a hybrid artificial neural network optimized by particle swarm optimization. International Journal of Transportation Science and Technology. https://doi.org/10.1016/j.ijtst.2023.04.004Preston, A., & Pulugurtha, S. S. (2021). Simulating and assessing the effect of a protected intersection design for bicyclists on traffic operational performance and safety. Transportation Research Interdisciplinary Perspectives, 9. https://doi.org/10.1016/j.trip.2021.100329Shahriar, M. S., Kale, A. K., & Chang, K. H. (2023). DRL-based intersection traffic efficiency enhancement utilizing 5G-NR-V2I data. ICT Express. https://doi.org/10.1016/j.icte.2023.08.002Siddharth, S. M. P., & Ramadurai, G. (2013). Calibration of VISSIM for Indian Heterogeneous Traffic Conditions. Procedia - Social and Behavioral Sciences, 104, 380–389. https://doi.org/10.1016/j.sbspro.2013.11.131Tanishita, M., Sekiguchi, Y., & Sunaga, D. (2023). Impact analysis of road infrastructure and traffic control on severity of pedestrian–vehicle crashes at intersections and non-intersections using bias-reduced logistic regression. IATSS Research, 47(2), 233–239. https://doi.org/10.1016/j.iatssr.2023.03.004Tiriolo, M., Adacher, L., & Cipriani, E. (2014). An Urban Traffic Flow Model to Capture Complex Flow Interactions among Lane Groups for Signalized Intersections. Procedia - Social and Behavioral Sciences, 111, 839–848. https://doi.org/10.1016/j.sbspro.2014.01.118Vajeeran, A., & De Silva, G. (2020). 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