يعرض 1 - 20 نتائج من 370 نتيجة بحث عن '"Transporte - Planificación"', وقت الاستعلام: 0.70s تنقيح النتائج
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    Book
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    Academic Journal

    المؤلفون: Rivera Hoyos, José Nicolás

    المساهمون: Alarcón Dallos, José Rodrigo

    وصف الملف: 1 recurso en línea (59 páginas) : ilustraciones; application/pdf; application/octet-stream

    Relation: (N.d.). Org.Co. Retrieved November 1, 2022, from https://sinchi.org.co/files/Base%20de% 20Datos%20Inirida/PDF/18_Densidad%20vial.pdf; VÁSQUEZ VARELA, Luis Ricardo. Pavement Condition Index (PCI) para pavimentos asfálticos y de concreto en carreteras. Ingepav. Manizales, febrero de 2002. p. 4.); (What is GIS? (s/f). Esri.com. Recuperado el 3 de octubre de 2022, de https://www.esri.com/en-us/what-is-gis/overview); ¿Qué es un shapefile?—ArcMap. (s/f). Arcgis.com. Recuperado el 3 de octubre de 2022, de https://desktop.arcgis.com/es/arcmap/latest/manage-data/shapefiles/what-is-a-shapefile.htm; Codazzi-IGAC, I. G. A. (n.d.). Diccionario Geográfico de Colombia. Gov.co. Retrieved October 15, 2022, from https://diccionario.igac.gov.co/?_termino=480594; Dallos Alarcón, José Rodrigo. Sistemas de Gestión de Infraestructura vial. Guías de clase curso Conservación y Mantenimiento Vial. Escuela de Ingeniería de Transporte y Vías Universidad Pedagógica y Tecnológica de Colombia. Tunja, 2020.; De, S., & Innovación, E. E. (n.d.). MANUAL DE MANTENIMIENTO DE CARRETERAS VOLUMEN 1 REPÚBLICA DE COLOMBIA MINISTERIO DE TRANSPORTE INSTITUTO NACIONAL DE VÍAS DIRECCIÓN TÉCNICA. Gov.Co. Retrieved October 29, 2022, from https://www.invias.gov.co/index.php/archivo-y-documentos/documentos-tecnicos/7713-manual-de-mantenimiento-de-carreteras-2016-v1/file; González, J. R. Q. (2011). Inventarios viales y categorización de la red vial en estudios de Ingeniería de Tránsito y Transporte. https://revistas.uptc.edu.co/index.php/ingenieria/article/ download/1413/1408.; GUIA PRÁCTICA DE LA MOVILIDAD PEATONAL URBANA. (n.d.). Pactodeproductividad.com. Retrieved October 29, 2022, from http://www.pactodeproductividad.com/pdf/ guiageneralsobreaccesibilidad.pdf; Interadministrativo, C. (n.d.). ESTUDIO E INVESTIGACIÓN DEL ESTADO ACTUAL DE LAS OBRAS DE LA RED NACIONAL DE CARRETERAS. Gov.Co. Retrieved November 1, 2022, from https://www.invias.gov.co/index.php/archivo-y-documentos/documentos-tecnicos/manuales-de-inspeccion-de-obras/974-manual-para-la-inspeccion-visual-de-pavimentos-flexibles/file; Ley 1228 de 2008 - Gestor Normativo. (s/f). Gov.co. Recuperado el 3 de octubre de 2022, de https://www.funcionpublica.gov.co/eva/gestornormativo/norma.php?i=31436; Luís, A., Rodríguez Bacca, G., Zamir, R., Ávila, C., Luis, J., Franco, M., Magnolia, M., Camargo, B., & Pimentel Gómez, S. M. (n.d.). EQUIPO DE GOBIERNO MUNICIPAL. Gov.Co. Retrieved November 1, 2022, from https://alcaldiatunja.micolombiadigital.gov.co/sites/alcaldiatunja /content/files/001325/66230_2_dimension_economica.pdf; MAGNA-SIRGAS. (n.d.). Instituto Geográfico Agustín Codazzi. Retrieved October 29, 2022, from https://www.igac.gov.co/es/contenido/areas-estrategicas/magna-sirgas; Nacional, A., & Vial, S. (n.d.). GUÍA PARA LA CONFORMACIÓN Y ACTUALIZACIÓN DE INVENTARIOS DE SEÑALIZACIÓN VIAL. Gov.Co. Retrieved October 29, 2022, from https://ansv.gov.co/sites/default/files/Gui%CC%81a%20para%20la%20conformacio%CC%81n%20y%20actualizacio%CC%81n%20de%20inventarios%20de%20sen%CC%83alizacio%CC%81n%20vial%202021-08-03%20%282%29.pdf; Parra Hernandez, J. (n.d.). PROCEDIMIENTO ESTRATÉGICO PARA LA DETECCIÓN DE DAÑOS EN PAVIMENTO FLEXIBLE EN LA INFRAESTRUCTURA VIAL DEL MUNICIPIO DE FUSAGASUGÁ MEDIANTE LAS METODOLOGÍAS VIZIR Y PCI. Edu.Co. Retrieved October 4, 2022, from http://repository.unipiloto.edu.co/bitstream/handle/20.500.12277/4853/Trabajo%20d e%20grado.pdf?sequence=1&isAllowed=y; Sitio SINC Mintransporte. (n.d.). Arcgis.com. Retrieved October 29, 2022, from https://sitio-sinc-mintransporte-1-1-mintransporte.hub.arcgis.com/documents/resoluci%C3%B3n-412-de-2020-inventarios-viales/explore; View of Patología de pavimentos articulados. (n.d.). Edu.Co. Retrieved October 5, 2022, from https://revistas.udem.edu.co/index.php/ingenierias/article/view/190/177.; Rivera Hoyos, J. N. (2022). Apoyo técnico para la Gestión de Proyectos de Administración Vial en la ciudad de Tunja. (Trabajo pregrado). Universidad Pedagógica y Tecnológica de Colombia. Facultad de Ingeniería, Tunja. https://repositorio.uptc.edu.co//handle/001/9216; https://repositorio.uptc.edu.co//handle/001/9216

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    Dissertation/ Thesis

    المؤلفون: Diaz Palacios, Luis Alejandro

    المساهمون: Leyes Sánchez, María Elena

    وصف الملف: 56 páginas; application/pdf

    Relation: [1] Thejaswini, R. S. S., & Rajaraajeswari, S. (2018). A real-time traffic congestion- avoidance framework for smarter cities. AIP Conference Proceedings. https://doi.org/10.1063/1.5078968; [2] Zerroug, R., Aliouat, Z., Aliouat, M., & Alti, A. (2024). Adaptive and dynamic smart traffic light system for efficient management of regular and emergency vehicles at city intersection. IET Smart Cities. https://doi.org/10.1049/smc2.12090; [3] Elassy, M., Al-Hattab, M., Takruri, M., & Badawi, S. (2024). Intelligent transportation systems for sustainable smart cities. Transportation Engineering, 16, 100252. https://doi.org/10.1016/j.treng.2024.100252; [4] Intelligence, G. T. (2024, August 21). History of smart cities: Timeline. Verdict. https://www.verdict.co.uk/smart-cities-timeline/; [5] El semáforo: 150 años de historia %7C SICE. (2024, April 30). SICE. https://www.sice.com/insigths/el-semaforo-150-anos-de-historia/; [6] William Potts (inventor). (n.d.). https://es.wikibrief.org/wiki/William_Potts_%28inventor%29; [7] Urban mobility and the future of smart transportation. (n.d.). Intel. https://www.intel.com/content/www/us/en/transportation/urban-mobility.html; [8] Salento inteligente. (n.d.). https://www.edeq.com.co/quindio-inteligente/salento; [9] Velocidad e intensidad vehicular en Medellín %7C Datos Abiertos Colombia. (2021, January 5). https://www.datos.gov.co/Transporte/Velocidad-e-intensidad-vehicular- en-Medell-n/b3u7-49dc/about_data; [10] De Semáforos Inteligentes Ahorrarán Energía Y Reducirán Emisiones De Co, L. (2020, January 30). Luces de semáforos inteligentes ahorrarán energía y reducirán emisiones de CO2. Bogota.gov.co. https://bogota.gov.co/asi- vamos/obras/semaforos-inteligentes-ahorraran-energia-y-reduciran-emisiones-de- co2; [11] Light, B. T. (2024, September 6). Cómo IoT mejora los sistemas de semáforos inteligentes. BBM Technology Company Limited. https://www.bbmled.com/es/a- news-how-iot-enhances-smart-traffic-light-systems; [12] Director, M. S. L. C. /. (2021, January 21). Estudio y planteamiento de un modelo de semaforización inteligente como solución a problemas de movilidad en Bogotá. https://repository.unipiloto.edu.co/handle/20.500.12277/9880?show=full; [13] Semáforos inteligentes – ITA. (n.d.). https://ita-sa.com/semaforos-inteligentes/; [14] Acelera tus operaciones con IOT. (n.d.). https://www.oracle.com/co/internet-of-things/; [15] Movilidad urbana: qué es, tipos y proyectos - Ferrovial. (2024, January 30). Ferrovial. https://www.ferrovial.com/es/recursos/movilidad/; [16] Calcular la velocidad promedio, o rapidez. (n.d.). [Video]. Khan Academy. https://es.khanacademy.org/science/physics/one-dimensional- motion/displacement-velocity-time/v/calculating-average-velocity-or-speed; [17] Urbana, U. (2022, October 27). Este increíble sistema de semáforos inteligentes revolucionará el mundo – utopiaurbana.city. https://utopiaurbana.city/2022/10/27/este-increible-sistema-de-semaforos- inteligentes-revolucionara-el-mundo/; [18] Race. (2023, November 10). ¿Qué es y cómo funcionan los semáforos inteligentes? RACE. https://www.race.es/semaforo-inteligente; [19] Sensores viales %7C RNO/ITS - PIARC (Asociación Mundial de Carreteras). (n.d.). https://rno-its.piarc.org/es/conceptos-basicos-its-tecnologias-its-datos-e- informacion/sensores-viales; [20] Artedinamico. (n.d.). QUE ES LA METROLOGIA? Equipos Y Laboratorio De Colombia. https://www.equiposylaboratorio.com/portal/articulo-ampliado/que-es-la- metrologia; [21] Universidad Europea. (2024, May 6). Microcontrolador: ¿Qué es y para qué sirve? https://universidadeuropea.com/blog/que-es-microcontrolador/; [22] Sensores y Actuadores. (n.d.). https://myelectronic.ueuo.com/sensores.html; [23] Yuridia, & Yuridia. (2023, July 12). Sistemas de control. SDI Industrial. https://sdindustrial.com.mx/blog/sistemas-de-control/; [24] Staff, C. (2023, November 29). ¿Qué es Python y para qué se usa? Guía para principiantes. Coursera. https://www.coursera.org/mx/articles/what-is-python-used- for-a-beginners-guide-to-using-python; [25] Crodriguez, & Crodriguez. (2023, December 6). ¿Qué es un circuito eléctrico y cómo funciona? SDI Industrial. https://sdindustrial.com.mx/blog/circuito-electrico-como- funciona/; [27] Bases de datos en la nube: ¿qué son y para qué sirven? (2022, November 2). Personio. https://www.personio.es/glosario/bases-de-datos-en-la-nube/; [28] Narvaez, M. (2023, June 26). Método inductivo: Qué es, características y ejemplos. QuestionPro. https://www.questionpro.com/blog/es/metodo-inductivo/; [29] Euroinnova International Online Education. (2024, July 15). que es el diseño metodologico. https://www.euroinnova.com/blog/que-es-el-diseno-metodologico; [30] Parra, A. (2023, June 16). ¿Qué es la recolección de datos y cómo realizarla? QuestionPro. https://www.questionpro.com/blog/es/recoleccion-de-datos-para- investigacion/; [31] Velázquez, A. (2023, February 23). ¿Qué es la Investigación Exploratoria? QuestionPro. https://www.questionpro.com/blog/es/investigacion-exploratoria/; [32] Línea, R. B. (2024, February 17). ¿Qué tan ‘inteligentes’ son las ciudades de Latinoamérica? Bloomberg Línea. https://www.bloomberglinea.com/2024/02/17/que-tan-inteligentes-son-las- ciudades-de-latinoamerica/; [33] Salento Inteligente gana premio nacional de smart cities - Institución Universitaria EAM. (n.d.). Institución Universitaria EAM. https://www.eam.edu.co/salento- inteligente-gana-premio-nacional-de-smart-cities/; [34] Salinas, D. (2024, January 24). Medellín: una ciudad inteligente en busca de la transformación cultural. Ciudades Y Derechos Digitales. https://digitalhelpdeskforcities.org/es/medellin-una-ciudad-inteligente-en-busca-de- la-transformacion-cultural/; [35] Urbana, U. (2022, September 28). Zurich, una de las ciudades más ordenadas e inteligentes del planeta – utopiaurbana.city. https://utopiaurbana.city/2022/09/28/zurich-una-de-las-ciudades-mas-ordenadas-e- inteligentes-del-planeta/; [36] Justícia, A. (2024, November 5). Los siete proyectos más ‘smart.’ La Vanguardia. https://www.lavanguardia.com/dinero/20241103/10071068/smart-cities-ciudad- inteligente-pryectos-sostenibilidad-tecnologia.html; [37] Dynamic traffic light optimization and Control System using model-predictive control method. (n.d.). IEEE Conference Publication %7C IEEE Xplore. https://ieeexplore.ieee.org/document/7795937; [38] Antonio, C. B. J. (2019, January 1). Sistema de Semáforos Inteligentes para el Control de Tráfico Vehicular. http://ri.uaemex.mx/handle/20.500.11799/99060; [39] Kustija, J. (2023). SCATS (Sydney Coordinated Adaptive Traffic System) as a solution to overcome traffic congestion in big cities. International Journal of Research and Applied Technology, 3(1), 1–14. https://doi.org/10.34010/injuratech.v3i1.7875; [40] Hunt, P. B., Robertson, D., I., Bretherton, R. D., & Royle, M. C. (n.d.). THE SCOOT ON-LINE TRAFFIC SIGNAL OPTIMISATION TECHNIQUE. TRID. https://trid.trb.org/View/186640; [41] Mazur, S. (n.d.). Smart Traffic Management: Optimizing your city’s infrastructure spend. Digi. https://es.digi.com/blog/post/smart-traffic-management-optimizing- spend; [42] ¿Qué es la industria 4.0? %7C Definición, tecnologías, beneficios %7C SAP. (n.d.). SAP. https://www.sap.com/latinamerica/products/scm/industry-4-0/what-is-industry-4- 0.html; [43] Alteryx. (2024, April 9). What is data Analytics? - Alteryx. https://www.alteryx.com/es/glossary/data-analytics; [44] Ortega, C. (2024, September 23). Estadística descriptiva: Qué es, objetivo, tipos y ejemplos. QuestionPro. https://www.questionpro.com/blog/es/estadistica- descriptiva/; [45] Unir, V. (2024, February 21). ¿Qué es un análisis de correlación? Características y Ejemplos. UNIR México. https://mexico.unir.net/noticias/economia/analisis- correlacion/; [46] Saavedra, J. A. (2023, May 3). Regresión Lineal: teoría y ejemplos. Ebac. https://ebac.mx/blog/regreson-lineal; [47] Parra, A. (2023, February 23). ¿Qué es una tabla de contingencia? QuestionPro. https://www.questionpro.com/blog/es/que-es-una-tabla-de-contingencia/; [48] Estadística básica: Tipos de muestreo. (n.d.). GCFGlobal.org. https://edu.gcfglobal.org/es/estadistica-basica/tipos-de-muestreo/1/; [49] Berumen. (2024, October 4). Muestreo no probabilístico y su impacto en la investigación de mercados. Berumen. https://berumen.com.mx/que-es-el-muestreo- no-probabilistico/; [50] Alvarado, L. (n.d.). Qué son las smart cities y 5 ciudades inteligentes que no conocías. Politécnico Grancolombiano. https://www.poli.edu.co/blog/poliverso/smart-cities- ciudades-inteligentes; https://hdl.handle.net/11059/15521; Universidad Tecnológica de Pereira; Repositorio Universidad Tecnológica de Pereira; https://repositorio.utp.edu.co/home

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    Dissertation/ Thesis

    المؤلفون: Arias Correa, Alberto Mauricio

    المساهمون: Ballesteros Parra, John Robert, Branch Bedoya, John William, Madrigal González, Carlos Andrés, Gidia: Grupo de Investigación YyDesarrollo en Inteligencia Artificial, Arias Correa, Alberto Mauricio 0000-0003-0619-235X, https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000268046, https://www.researchgate.net/profile/Mauricio-Correa-8, https://scholar.google.com/citations?user=0XMAvosAAAAJ&hl=es&oi=ao

    وصف الملف: 83 páginas; application/pdf

    Relation: LaReferencia; Abadi, A. D., Gu, Y., Goncharenko, I., & Kamijo, S. (2022). Detection of Cyclists’ Crossing Intentions for Autonomous Vehicles. Digest of Technical Papers - IEEE International Conference on Consumer Electronics, 2022-Janua. https://doi.org/10.1109/ICCE53296.2022.9730559; Ahmed, H. E., Sahandabadi, S., Bhawya, & Ahamed, M. J. (2023). Application of MEMS Accelerometers in Dynamic Vibration Monitoring of a Vehicle. Micromachines, 14(5). https://doi.org/10.3390/mi14050923; Akiba, T., Sano, S., Yanase, T., Ohta, T., & Koyama, M. (2019). Optuna: A Next-generation Hyperparameter Optimization Framework. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2623–2631. https://doi.org/10.1145/3292500.3330701; Alhajyaseen, W. K. M., Asano, M., & Nakamura, H. (2012). Estimation of left-turning vehicle maneuvers for the assessment of pedestrian safety at intersections. IATSS Research, 36(1), 66–74. https://doi.org/10.1016/j.iatssr.2012.03.002; Badrinarayanan, V., Kendall, A., & Cipolla, R. (2017). SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(12), 2481–2495. https://doi.org/10.1109/TPAMI.2016.2644615; Badue, C., Guidolini, R., Carneiro, R. V., Azevedo, P., Cardoso, V. B., Forechi, A., Jesus, L., Berriel, R., Paixão, T., Mutz, F., Veronese, L., Oliveira-Santos, T., & De Souza, A. F. (2019). Self-Driving Cars: A Survey. http://arxiv.org/abs/1901.04407; Benarbia, T., Kyamakya, K., Al Machot, F., & Kambale, W. V. (2023). Modeling and Simulation of Shared Electric Automated and Connected Mobility Systems with Autonomous Repositioning: Performance Evaluation and Deployment. Sustainability (Switzerland), 15(1). https://doi.org/10.3390/su15010881; Betancur-Vásquez, D., Mejia-Herrera, M., & Botero-Valencia, J. S. (2021). Open source and open hardware mobile robot for developing applications in education and research. https://doi.org/10.17605/OSF.IO/KQ3EW; Beyer, L., Hermans, A., & Leibe, B. (2015). Biternion nets: Continuous head pose regression from discrete training labels. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9358, 157–168. https://doi.org/10.1007/978-3-319-24947-6_13; Bieshaar, M., Depping, M., Schneegans, J., & Sick, B. (2019). Starting movement detection of cyclists using smart devices. Proceedings - 2018 IEEE 5th International Conference on Data Science and Advanced Analytics, DSAA 2018, 313–322. https://doi.org/10.1109/DSAA.2018.00042; Bochkovskiy, A., Wang, C.-Y., & Liao, H.-Y. M. (2020). YOLOv4: Optimal Speed and Accuracy of Object Detection. http://arxiv.org/abs/2004.10934; Bolaños, Y. H., Rengifo, C. F., Caicedo, P. E., Rodriguez, L. E., & Sierra, W. A. (2020). Electronic system for step width estimation using programmable system-on-chip technology and time of flight cameras. HardwareX, 8. https://doi.org/10.1016/j.ohx.2020.e00126; Botero-Valencia, J. S., Mejia-Herrera, M., & Pearce, J. M. (2022). Design of a low-cost mobile multispectral albedometer with geopositioning and absolute orientation. HardwareX, 12, e00324. https://doi.org/10.1016/j.ohx.2022.e00324; Brohm, T., Haupt, K., & Thiel, R. (2019). Pedestrian Intention and Gesture Classification Using Neural Networks. ATZ Worldwide, 121(4), 26–31. https://doi.org/10.1007/s38311-019-0006-6; Brown, B., & Laurier, E. (2017). The trouble with autopilots: Assisted and autonomous driving on the social road. Conference on Human Factors in Computing Systems - Proceedings, 2017-May, 416–429. https://doi.org/10.1145/3025453.3025462; Casas, E., Ramos, L., Bendek, E., & Rivas-Echeverria, F. (2023). Assessing the Effectiveness of YOLO Architectures for Smoke and Wildfire Detection. IEEE Access, 11, 96554–96583. https://doi.org/10.1109/ACCESS.2023.3312217; Dávila García, A. (2024). BOLETÍN ESTADÍSTICO COLOMBIA Fallecidos y Lesionados por Siniestros Viales. https://ansv.gov.co/es/node/11124; DIng, Y., Zhou, X., Bao, H., Li, Y., Hamann, C., Spears, S., & Yuan, Z. (2020). Cycling-Net: A Deep Learning Approach to Predicting Cyclist Behaviors from Geo-Referenced Egocentric Video Data. GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems, 337–346. https://doi.org/10.1145/3397536.3422258; Dung, C. V., Sekiya, H., Hirano, S., Okatani, T., & Miki, C. (2019). A vision-based method for crack detection in gusset plate welded joints of steel bridges using deep convolutional neural networks. Automation in Construction, 102, 217–229. https://doi.org/10.1016/j.autcon.2019.02.013; Dwijayanti, S., Iqbal, M., & Suprapto, B. Y. (2022). Real-time Implementation of Face Recognition and Emotion Recognition in a Humanoid Robot Using a Convolutional Neural Network. IEEE Access. https://doi.org/10.1109/ACCESS.2022.3200762; Ettinger, S., Cheng, S., Caine, B., Liu, C., Zhao, H., Pradhan, S., Chai, Y., Sapp, B., Qi, C., Zhou, Y., Yang, Z., Chouard, A., Sun, P., Ngiam, J., Vasudevan, V., Mccauley, A., Shlens, J., Anguelov, D., Llc, W., & Brain, G. (n.d.). Large Scale Interactive Motion Forecasting for Autonomous Driving : The WAYMO OPEN MOTION DATASET.; Fairley, P. (2017). Self-driving cars have a bicycle problem [News]. IEEE Spectrum, 54(3), 12–13. https://doi.org/10.1109/mspec.2017.7864743; Flohr, F. (2018). Vulnerable Road User Detection and Orientation Estimation for Context-Aware Automated Driving.; Gao, H., Su, H., Cai, Y., Wu, R., Hao, Z., Xu, Y., Wu, W., Wang, J., Li, Z., & Kan, Z. (2021). Trajectory prediction of cyclist based on dynamic Bayesian network and long short-term memory model at unsignalized intersections. Science China Information Sciences, 64(7). https://doi.org/10.1007/s11432-020-3071-8; García-Venegas, M., Mercado-Ravell, D. A., Pinedo-Sánchez, L. A., & Carballo-Monsivais, C. A. (2021a). On the safety of vulnerable road users by cyclist detection and tracking. Machine Vision and Applications, 32(5), 1–16. https://doi.org/10.1007/s00138-021-01231-4; Geiger, A., Lenz, P., Stiller, C., & Urtasun, R. (2013). Vision meets robotics: The KITTI dataset. International Journal of Robotics Research, 32(11), 1231–1237. https://doi.org/10.1177/0278364913491297; Gillani, I. S., Munawar, M. R., Talha, M., Azhar, S., Mashkoor, Y., uddin, M. S., & Zafar, U. (2022). Yolov5, Yolo-x, Yolo-r, Yolov7 Performance Comparison: A Survey. 17–28. https://doi.org/10.5121/csit.2022.121602; Girinath, N., Ganesh Babu, C., Chandru, Surendar, R., Sabarish, V., & Abhirooban, T. (2022). Arduino nano based Smart Glasses. Proceedings - 2022 6th International Conference on Intelligent Computing and Control Systems, ICICCS 2022, 118–120. https://doi.org/10.1109/ICICCS53718.2022.9788117; Girshick, R. (2015). Fast R-CNN. http://arxiv.org/abs/1504.08083; Goldhammer, M., Kohler, S., Zernetsch, S., Doll, K., Sick, B., & Dietmayer, K. (2019). Intentions of Vulnerable Road Users--Detection and Forecasting by Means of Machine Learning. IEEE Transactions on Intelligent Transportation Systems, 1–11. https://doi.org/10.1109/tits.2019.2923319; He, C., & Saha, P. (2023a). Investigating YOLO Models Towards Outdoor Obstacle Detection For Visually Impaired People. http://arxiv.org/abs/2312.07571; He, K., Gkioxari, G., Dollar, P., & Girshick, R. (2017). Mask R-CNN. Proceedings of the IEEE International Conference on Computer Vision, 2017-Octob, 2980–2988. https://doi.org/10.1109/ICCV.2017.322; Held, P., Steinhauser, D., Kamann, A., Koch, A., Brandmeier, T., & Schwarz, U. T. (n.d.). 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YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications. http://arxiv.org/abs/2209.02976; Li, X., Flohr, F., Yang, Y., Xiong, H., Braun, M., Pan, S., Li, K., & Gavrila, D. M. (2016). A new benchmark for vision-based cyclist detection. IEEE Intelligent Vehicles Symposium, Proceedings, 2016-Augus(Iv), 1028–1033. https://doi.org/10.1109/IVS.2016.7535515; Li, X., Li, L., Flohr, F., Wang, J., Xiong, H., Bernhard, M., Pan, S., Gavrila, D. M., & Li, K. (2017). A unified framework for concurrent pedestrian and cyclist detection. IEEE Transactions on Intelligent Transportation Systems, 18(2), 269–281. https://doi.org/10.1109/TITS.2016.2567418; Lin, Y., Wang, P., & Ma, M. (2017). Intelligent Transportation System(ITS): Concept, Challenge and Opportunity. 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In International Journal of Advanced Manufacturing Technology (Vol. 102, Issues 9–12, pp. 2877–2889). Springer London. https://doi.org/10.1007/s00170-019-03332-x; Mandal, S., Biswas, S., Balas, V. E., Shaw, R. N., & Ghosh, A. (2020). Motion Prediction for Autonomous Vehicles from Lyft Dataset using Deep Learning. 2020 IEEE 5th International Conference on Computing Communication and Automation, ICCCA 2020, 768–773. https://doi.org/10.1109/ICCCA49541.2020.9250790; Mannion, P. (2019a). Vulnerable road user detection: state-of-the-art and open challenges. 1–5. http://arxiv.org/abs/1902.03601; Masalov, A., Matrenin, P., Ota, J., Wirth, F., Stiller, C., Corbet, H., & Lee, E. (2019). Specialized cyclist detection dataset: Challenging real-world computer vision dataset for cyclist detection using a monocular RGB camera. IEEE Intelligent Vehicles Symposium, Proceedings, 2019-June(Iv), 114–118. https://doi.org/10.1109/IVS.2019.8813814; Mathanlal, T., Vakkada Ramachandran, A., Zorzano, M. P., & Martin-Torres, J. (2021). PACKMAN – A portable instrument to investigate space weather. HardwareX, 9. https://doi.org/10.1016/j.ohx.2020.e00169; Morimoto, A. (2019). Traffic and Safety Sciences: Interdisciplinary Wisdom of IATSS (Fisrt, Vol. 53, Issue 9). The Japan Times. https://www.iatss.or.jp/common/pdf/en/publication/commemorative-publication/iatss40.pdf; Murphey, Y. L., Liu, C., Tayyab, M., & Narayan, D. (2018). Accurate pedestrian path prediction using neural networks. 2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings, 2018-Janua, 1–7. https://doi.org/10.1109/SSCI.2017.8285398; Oehlberg, L. (2020). Autonomous Vehicle-Cyclist Interaction : Peril and Promise. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 1–12. Olah, C. (2025). Understanding LSTM Networks. URL: https://colah.github.io/posts/2015-08-Understanding-LSTMs/; Padilla, R., Netto, S. L., & da Silva, E. (2020). A survey on performance metrics for object-detection algorithms. (IEEE IWSSIP2020).; Pan, D., Han, Y., Jin, Q., Kan, J., Huang, H., Mizuno, K., & Thomson, R. (2023). Probabilistic Prediction of Collisions between Cyclists and Vehicles Based on Uncertainty of Cyclists’ Movements. Transportation Research Record, 2677(3), 1151–1164. https://doi.org/10.1177/03611981221121270; Pool, E. A. I., Kooij, J. F. P., & Gavrila, D. M. (2017). Using road topology to improve cyclist path prediction. IEEE Intelligent Vehicles Symposium, Proceedings, Iv, 289–296. https://doi.org/10.1109/IVS.2017.7995734; Pool, E. A. I., Kooij, J. F. P., & Gavrila, D. M. (2019). Context-based cyclist path prediction using Recurrent Neural Networks. IEEE Intelligent Vehicles Symposium, Proceedings, 2019-June(Iv), 824–830. https://doi.org/10.1109/IVS.2019.8813889; Prokudin, S., Gehler, P., & Nowozin, S. (2018). Deep Directional Statistics: Pose Estimation with Uncertainty Quantification. http://arxiv.org/abs/1805.03430; Redmon, J., Divvala, S., Girshick, R., & Farhadi, A. (2015). You Only Look Once: Unified, Real-Time Object Detection. http://arxiv.org/abs/1506.02640; Redmon, J., & Farhadi, A. (2017). YOLO9000: Better, Faster, Stronger. http://pjreddie.com/yolo9000/; Redmon, J., & Farhadi, A. (2018). YOLOv3: An Incremental Improvement. http://arxiv.org/abs/1804.02767; Ren, S., He, K., Girshick, R., & Sun, J. (2015). Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks. http://arxiv.org/abs/1506.01497; SAE. (2018). Taxonomy and definitions for terms related to driving automation systems for on-road moto vehicles. In Technical Report SAE International.; Saini, M., & Susan, S. (2023). VGGIN-Net: Deep Transfer Network for Imbalanced Breast Cancer Dataset. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 20(1), 752–762. https://doi.org/10.1109/TCBB.2022.3163277; Saleh, K., Hossny, M., Hossny, A., & Nahavandi, S. (2018). Cyclist detection in LIDAR scans using faster R-CNN and synthetic depth images. IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, 2018-March, 1–6. https://doi.org/10.1109/ITSC.2017.8317599; Saleh, K., Hossny, M., Nahavandi, S. (2018). Cyclist Trajectory Prediction Using Bidirectional Recurrent Neural Networks. In Australasian Joint Conference on Artificial Intelligence (Vol. 11320, Issue 61773242, pp. 284–295). Springer International Publishing. https://doi.org/10.1007/978-3-030-03991-2; Saun, T. J., & Grantcharov, T. P. (2021). Design and validation of an inertial measurement unit (IMU)-based sensor for capturing camera movement in the operating room. HardwareX, 9, e00179. https://doi.org/10.1016/j.ohx.2021.e00179; Schieben, A., Wilbrink, M., Kettwich, C., Madigan, R., Louw, T., & Merat, N. (2019). Designing the interaction of automated vehicles with other traffic participants: design considerations based on human needs and expectations. Cognition, Technology and Work, 21(1), 69–85. https://doi.org/10.1007/s10111-018-0521-z; Schneemann, F., & Heinemann, P. (2016). Context-based detection of pedestrian crossing intention for autonomous driving in urban environments. IEEE International Conference on Intelligent Robots and Systems, 2016-Novem, 2243–2248. https://doi.org/10.1109/IROS.2016.7759351; SENSORTEC-BOSCH. (2014). BNO055 Intelligent 9-axis absolute orientation sensor. https://www.bosch-sensortec.com/products/smart-sensors/bno055/; Simonyan, K., & Zisserman, A. (2015). Very deep convolutional networks for large-scale image recognition. 3rd International Conference on Learning Representations, ICLR 2015 - Conference Track Proceedings, 1–14.; Sohan, M., Sai Ram, T., & Rami Reddy, Ch. V. (2024). A Review on YOLOv8 and Its Advancements (pp. 529–545). https://doi.org/10.1007/978-981-99-7962-2_39; Stayton, E., & Stilgoe, J. (2020). It’s Time to Rethink Levels of Automation for Self-Driving Vehicles. SSRN Electronic Journal, 2019(2016), 391–397. https://doi.org/10.2139/ssrn.3579386; Suwandi, B., Kitasuka, T., & Aritsugi, M. (2019). Vehicle vibration error compensation on IMU-accelerometer sensor using adaptive filter and low-pass filter approaches. Journal of Information Processing, 27, 33–40. https://doi.org/10.2197/ipsjjip.27.33; Talpaert, V., Sobh, I., Ravi Kiran, B., Mannion, P., Yogamani, S., El-Sallab, A., & Perez, P. (2019). Exploring Applications of Deep Reinforcement Learning for Real-world Autonomous Driving Systems. VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 5, 564–572. https://doi.org/10.5220/0007520305640572; Tan, M., & Le, Q. V. (2021). EfficientNetV2: Smaller Models and Faster Training. http://arxiv.org/abs/2104.00298; Teng, R. (2022). Prevention Detection for Cyclists based on Faster R-CNN. Proceedings - 2022 International Conference on Networks, Communications and Information Technology, CNCIT 2022, 142–148. https://doi.org/10.1109/CNCIT56797.2022.00030; Terven, J., & Cordova-Esparza, D. (2023). A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS. https://doi.org/10.3390/make5040083; Thrun, S. (2010). Toward robotic cars. Communications of the ACM, 53(4), 99–106. https://doi.org/10.1145/1721654.1721679; Toy, I., Durdu, A., & Yusefi, A. (2022). Improved Dead Reckoning Localization using IMU Sensor. 2022 15th International Symposium on Electronics and Telecommunications, ISETC 2022 - Conference Proceedings. https://doi.org/10.1109/ISETC56213.2022.10010239; Wang, C.-Y., Bochkovskiy, A., & Liao, H.-Y. M. (2023). YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors.; Wang, K., & Zhou, W. (2019). Pedestrian and cyclist detection based on deep neural network fast R-CNN. International Journal of Advanced Robotic Systems, 16(2). https://doi.org/10.1177/1729881419829651; Wang, L., Schmidt, B., & Nee, A. Y. C. (2013). Vision-guided active collision avoidance for human-robot collaborations. Manufacturing Letters, 1(1), 5–8. https://doi.org/https://doi.org/10.1016/j.mfglet.2013.08.001; Wells, J. (2018). A SENSOR BASED APPROACH TO ANALYZING MOTION IN MEDICAL APPLICATIONS: AV FISTULA CANNULATION AND RETT SYNDROME. https://doi.org/10.13140/RG.2.2.29733.93929; Wengefeld, T., Lewandowski, B., Seichter, D., Pfennig, L., & Gross, H. M. (2019). Real-time person orientation estimation using colored pointclouds. 2019 European Conference on Mobile Robots, ECMR 2019 - Proceedings, 2(03). https://doi.org/10.1109/ECMR.2019.8870914; Westerhuis, F., & De Waard, D. (2017). Reading cyclist intentions: Can a lead cyclist’s behaviour be predicted? Accident Analysis and Prevention, 105, 146–155. https://doi.org/10.1016/j.aap.2016.06.026; Wickramanayake, S., Li, M., & Hsu, L. W. (n.d.). Explanation-based Data Augmentation for Image Classification.; World Health Organization. (2023). Global status report on road safety 2023. https://www.who.int/publications/i/item/9789240086517; Xia, K., Lv, Z., Zhou, C., Gu, G., Zhao, Z., Liu, K., & Li, Z. (2023). Mixed Receptive Fields Augmented YOLO with Multi-Path Spatial Pyramid Pooling for Steel Surface Defect Detection. Sensors, 23(11). https://doi.org/10.3390/s23115114; Ximena González-Cely, A., Callejas-Cuervo, M., & Bastos-Filho, T. (2022). Wheelchair prototype controlled by position, speed and orientation using head movement. https://doi.org/10.17632/ys9s9pgvbg.2; Xu, Y., Liang, X., Dong, X., & Chen, W. (2019). Intelligent Transportation System and Future of Road Safety. Proceedings - 4th IEEE International Conference on Smart Cloud, SmartCloud 2019 and 3rd International Symposium on Reinforcement Learning, ISRL 2019, 209–214. https://doi.org/10.1109/SmartCloud.2019.00043; Yasir, M., Zhan, L., Liu, S., Wan, J., Hossain, M. S., Isiacik Colak, A. T., Liu, M., Islam, Q. U., Raza Mehdi, S., & Yang, Q. (2023). Instance segmentation ship detection based on improved Yolov7 using complex background SAR images. Frontiers in Marine Science, 10. https://doi.org/10.3389/fmars.2023.1113669; Zernetsch, S., Kohnen, S., Goldhammer, M., Doll, K., & Sick, B. (2016). Trajectory prediction of cyclists using a physical model and an artificial neural network. IEEE Intelligent Vehicles Symposium, Proceedings, 2016-Augus(Iv), 833–838. https://doi.org/10.1109/IVS.2016.7535484; Zernetsch, S., Kress, V., Sick, B., & Doll, K. (2018). Early Start Intention Detection of Cyclists Using Motion History Images and a Deep Residual Network. IEEE Intelligent Vehicles Symposium, Proceedings, 2018-June(Iv), 2036–2041. https://doi.org/10.1109/IVS.2018.8500428; Shijie, J., Ping, W., Peiyi, J., & Siping, H. (2017, October). Research on data augmentation for image classification based on convolution neural networks. In 2017 Chinese automation congress (CAC) (pp. 4165-4170). IEEE.; https://repositorio.unal.edu.co/handle/unal/86436; Universidad Nacional de Colombia; Repositorio Institucional Universidad Nacional de Colombia; https://repositorio.unal.edu.co/

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    وصف الملف: 3 páginas; application/pdf

    Relation: 12; 10; Delfín; Díaz Osorio, M. S., & Rodríguez Díaz, R. D. (2020). Estudio de aspectos físicos, ambientales y sociales en la aplicación de la movilidad sostenible, alternativa en ciudades latinoamericanas. Delfín, 1, 10-12.; https://hdl.handle.net/10983/25185

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    Dissertation/ Thesis

    المؤلفون: Rodríguez Cujia, Alexander

    المساهمون: Lizcano Prada, Fabio Andrés, Tapias Uribe, Sergio Alberto

    جغرافية الموضوع: CRAI-USTA Bucaramanga

    وصف الملف: application/pdf

    Relation: Aaron , M. (2019). Análisis de la Movilidad Vehicular en el Departamento de La Guajira. Riohacha: Universidad de la Guajira.; Alcadia Distrital de Riohacha . (29 de Octubre de 2015). Plan De Ordenamiento Territorial Decreto No. 078 “Por el cual se adopta la revision y ajuste del plan de ordenamiento territorial del municipio de riohacha revisado y ajustado vigencia 2002-2015.”. Obtenido dehttp://www.riohacha-laguajira.gov.co/Secretarias/Paginas/Direccion-de-Ordenamiento-Urbanistico-y-Espacio-Publico.aspx; Barona, M. A. (20 de Enero de 2018). Las Precarias condiciones de la Terminal de Transporte de Riohacha. Obtenido de La Guajira Hoy.com: https://laguajirahoy.com/featured/las-precarias-condiciones-de-la-terminal-de-transporte-de-riohacha.html; Bembibre, C. (10 de Agosto de 2010). Definición ABC. Obtenido de https://www.definicionabc.com/general/transporte.php; Bembibre, C. (2 de Agosto de 2010). Concepto de transporte. Diario ABC, págs. 5-7.; Bocarejo Suescun, J. P. (2007). Plan de monitoreo y evaluación en los sectores de movilidad y servicios públicos. En J. P. Bocarejo Suescun. Colombia: minciencias.gov.co.; Buchanan, C., Crowther, G., & Crowther, B. (1963). Tráfico en ciudades. La edición especialmente abreviada del informe buchanan. Reino Unido: A penguin Special.; Castells, M. (2001). Evaluacion multicriterio de calidad de vida y calidad urbana en la region metropolitana. Córdoba : Centro de Investigaciones y Estudios sobre Cultura y Sociedad.; Claval, P. (1985). La lógica de las ciudades. Ensayo de urbanología. Paris: Departamento de Antropología de la Universidad Laval.; Confort. (14 de Octubre de 2020). Obtenido de Significados.com: https://www.significados.com/confort/; Gómez, V. (1975). El camello y la rueda. Cambridge: Harvard iversity Press.; Gutiérrez, A. (2012). ¿Qué es la movilidad? En A. Gutiérrez, ¿Qué es la movilidad? Elementos para (re) construir las definiciones básicas del campo del transporte. (págs. 1-14). Bogotá: Dossier central.; Hernandez , D. (2012). Activos y estructuras de oportunidades de movilidad. Una propuesta analítica para el estudio de la accesibilidad por transporte público, el bienestar y la equidad. EURE (Santiago), 117-135.; Icontec internacional. (2006). Norma tecnica colombiana (NTC 5454). En infraestructura de las terminales de transporte terrestre automotor de pasajeros por carretera (págs. 1-11). Bogota: Instituto Colombiano de Normas Técnicas y Certificación (ICONTEC).; International Transports: https://www.allscandcargo.com/noticias/transporte-terrestre-ventajas-y-desventajas/; Izquierdo, R. (2001). Transportes: Un Enfoque Integral Planificación Del Transporte. Colegio De Ingenieros De Caminos, Canales Y Puertos.; Kaufmann, V. (2002). Repensar la movilidad: sociología contemporánea transporte y sociedad. California: Ashgate.; López de Lucio , R. (1993). "URBANISMO URBANO". España: Escuela Técnica Superior de Arquitectura de Madrid.; Ministerio de transporte. (2001). Decreto numero 2762 de 2001 “Por el cual se reglamenta la creación , habilitación , homologación y operación de los terminales de transporte terrestre automotor de pasajeros por carretera. Obtenido de https://web.mintransporte.gov.co/jspui/bitstream/001/244/1/Decreto_2762_2001.PDF; Ministerio de transporte. (Junio de 2003). Decreto 1660 DE 2003 "Por el cual se reglamenta la accesibilidad a los modos de transporte de la población en general y en especial de las personas con discapacidad". Obtenido de https://www.funcionpublica.gov.co/eva/gestornormativo/norma.php?i=8799; Miralles, C., & Cebollada, A. (2012). Las encuestas de movilidad y los referentes ambientales de los transportes. EURE (Santiago), 33-45.; Murcia Cortes, D. F. (Junio de 2010). Universidad de los Andes. Obtenido de https://repositorio.uniandes.edu.co/bitstream/handle/1992/19198/u429710.pdf?sequence=1&isAllowed=y; Periodicolaguajira. (04 de ABRIL de 2014). LA GUAJIRA. El turismo, la esperanza de Riohacha.; Pozo, J. C. (2010). Terminal Terrestre Quitumbe. Obtenido de Arquitectura Panamericana.com: https://arquitecturapanamericana.com/terminal-terrestre-quitumbe/; Raffino, M. E. (2020). Concepto de Transporte Terrestre. En M. E. Raffino, Transporte Terrestre (pág. 10). Argentina: Repository.; Raffino, M. E. (29 de agosto de 2020). Concepto de Transporte Terrestre. Transporte de Terrestre.; Reglamento Colombiano De Construccion Sismo Resistente. (1997). NSR - 10 Titulo J - Requisitos de proteccion contra incendios en edificaciones. Obtenido de https://www.idrd.gov.co/sitio/idrd/sites/default/files/imagenes/10titulo-j-nsr-100.pdf; Riohacha, A. d. (Abril de 2017). riohacha-laguajira.gov.co. Obtenido de http://www.riohacha-laguajira.gov.co/Transparencia/Informes/INFORME%20DE%20GESTION%20ABRIL%202017-ENERO%202018.pdf; Santos, L., Ganges, & de las Rivas Sanz, J. L. (2008). CIUDADES 11. Ciudad e Infraestructura. . Revista de edUVA, 13-32.; Sanz, A., & Estevan, A. (1996). Hacia la reconversion ecologica del transporte en España. España: Los libros de la catarata.; Terminal. (30 de julio de 2019). Obtenido de Conceptodefinicion.de.: https://conceptodefinicion.de/terminal/; Thompson, R. (1976). Breve historia de la ingeniería aplicada al transporte. Análisis de los sistemas de transporte Vol1: Conceptos básicos.; Tikkanen, A. (2010). Evolucion del Transporte . España : Britanica All New Encyclopedia.; Rodríguez Cujia, A. (2023). Diseño de un terminal de transporte terrestre interdepartamental de categoría 4 en Riohacha, la Guajira. [Trabajo de pregado]. Univerisdad Santo Tomás, Bucaramanga, Colombia; http://hdl.handle.net/11634/51961; reponame:Repositorio Institucional Universidad Santo Tomás; instname:Universidad Santo Tomás; repourl:https://repository.usta.edu.co

  18. 18
    Dissertation/ Thesis

    المؤلفون: Mendoza Rincón, Angela Rocío

    المساهمون: Vega Báez, Luis Alfredo

    وصف الملف: application/pdf

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    Dissertation/ Thesis