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En el instante 30 de octubre de 2025, 2:20:36 UTC,
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Fecha
con valor23/07/2025
a Visualizando la movilidad en Querétaro: análisis de simulaciones urbanas sobre redes viales complejas
| f | 1 | { | f | 1 | { |
| 2 | "author": "Alberto Garc\u00eda Robledo, Mahboobeh Zangiabady", | 2 | "author": "Alberto Garc\u00eda Robledo, Mahboobeh Zangiabady", | ||
| 3 | "author_email": null, | 3 | "author_email": null, | ||
| 4 | "creator_user_id": "a3da3ec9-3fd4-47a4-8d04-0a90b09614e0", | 4 | "creator_user_id": "a3da3ec9-3fd4-47a4-8d04-0a90b09614e0", | ||
| 5 | "extras": [ | 5 | "extras": [ | ||
| 6 | { | 6 | { | ||
| 7 | "key": "A\u00f1o", | 7 | "key": "A\u00f1o", | ||
| 8 | "value": "2025" | 8 | "value": "2025" | ||
| n | n | 9 | }, | ||
| 10 | { | ||||
| 11 | "key": "Fecha", | ||||
| 12 | "value": "23/07/2025" | ||||
| 9 | }, | 13 | }, | ||
| 10 | { | 14 | { | ||
| 11 | "key": "Identificador hash", | 15 | "key": "Identificador hash", | ||
| 12 | "value": "64e9c327857c" | 16 | "value": "64e9c327857c" | ||
| 13 | }, | 17 | }, | ||
| 14 | { | 18 | { | ||
| 15 | "key": "Instituciones", | 19 | "key": "Instituciones", | ||
| 16 | "value": "SECIHTI-CentroGeo, University of Twente" | 20 | "value": "SECIHTI-CentroGeo, University of Twente" | ||
| 17 | }, | 21 | }, | ||
| 18 | { | 22 | { | ||
| 19 | "key": "Subt\u00edtulo", | 23 | "key": "Subt\u00edtulo", | ||
| 20 | "value": "Un dashboard interactivo que permite estudiar | 24 | "value": "Un dashboard interactivo que permite estudiar | ||
| 21 | din\u00e1micas de tr\u00e1fico vehicular en zonas cr\u00edticas de la | 25 | din\u00e1micas de tr\u00e1fico vehicular en zonas cr\u00edticas de la | ||
| 22 | ciudad mediante datos simulados" | 26 | ciudad mediante datos simulados" | ||
| 23 | }, | 27 | }, | ||
| 24 | { | 28 | { | ||
| 25 | "key": "Tipo", | 29 | "key": "Tipo", | ||
| 26 | "value": "Art\u00edculo en l\u00ednea" | 30 | "value": "Art\u00edculo en l\u00ednea" | ||
| 27 | }, | 31 | }, | ||
| 28 | { | 32 | { | ||
| 29 | "key": "URL", | 33 | "key": "URL", | ||
| 30 | "value": | 34 | "value": | ||
| 31 | vereye-analisis-de-simulaciones-urbanas-sobre-redes-viales-complejas/" | 35 | vereye-analisis-de-simulaciones-urbanas-sobre-redes-viales-complejas/" | ||
| 32 | } | 36 | } | ||
| 33 | ], | 37 | ], | ||
| 34 | "groups": [ | 38 | "groups": [ | ||
| 35 | { | 39 | { | ||
| 36 | "description": "Este grupo re\u00fane los art\u00edculos de | 40 | "description": "Este grupo re\u00fane los art\u00edculos de | ||
| 37 | divulgaci\u00f3n publicados por el Observatorio Metropolitano del | 41 | divulgaci\u00f3n publicados por el Observatorio Metropolitano del | ||
| 38 | CentroGeo. Cada art\u00edculo presenta, en un lenguaje accesible y con | 42 | CentroGeo. Cada art\u00edculo presenta, en un lenguaje accesible y con | ||
| 39 | enfoque metropolitano, los principales hallazgos, metodolog\u00edas y | 43 | enfoque metropolitano, los principales hallazgos, metodolog\u00edas y | ||
| 40 | aplicaciones de los proyectos de investigaci\u00f3n desarrollados por | 44 | aplicaciones de los proyectos de investigaci\u00f3n desarrollados por | ||
| 41 | el observatorio. Los contenidos est\u00e1n hospedados en el portal web | 45 | el observatorio. Los contenidos est\u00e1n hospedados en el portal web | ||
| 42 | del Observatorio Metropolitano y buscan acercar el conocimiento | 46 | del Observatorio Metropolitano y buscan acercar el conocimiento | ||
| 43 | cient\u00edfico y t\u00e9cnico a la sociedad, fomentando la | 47 | cient\u00edfico y t\u00e9cnico a la sociedad, fomentando la | ||
| 44 | comprensi\u00f3n de los fen\u00f3menos urbanos y territoriales desde | 48 | comprensi\u00f3n de los fen\u00f3menos urbanos y territoriales desde | ||
| 45 | una perspectiva interdisciplinaria.", | 49 | una perspectiva interdisciplinaria.", | ||
| 46 | "display_name": "Art\u00edculos en l\u00ednea", | 50 | "display_name": "Art\u00edculos en l\u00ednea", | ||
| 47 | "id": "8659310a-f66e-46e8-b1e5-3d7e04acd171", | 51 | "id": "8659310a-f66e-46e8-b1e5-3d7e04acd171", | ||
| 48 | "image_display_url": "", | 52 | "image_display_url": "", | ||
| 49 | "name": "articulos-en-linea", | 53 | "name": "articulos-en-linea", | ||
| 50 | "title": "Art\u00edculos en l\u00ednea" | 54 | "title": "Art\u00edculos en l\u00ednea" | ||
| 51 | } | 55 | } | ||
| 52 | ], | 56 | ], | ||
| 53 | "id": "7a9fd077-f27e-4a8c-a377-23da4cce7156", | 57 | "id": "7a9fd077-f27e-4a8c-a377-23da4cce7156", | ||
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| 59 | "metadata_created": "2025-10-24T00:46:56.989191", | 63 | "metadata_created": "2025-10-24T00:46:56.989191", | ||
| t | 60 | "metadata_modified": "2025-10-30T02:07:04.817608", | t | 64 | "metadata_modified": "2025-10-30T02:20:36.216294", |
| 61 | "name": "64e9c327857c", | 65 | "name": "64e9c327857c", | ||
| 62 | "notes": "Este art\u00edculo presenta un ejercicio demostrativo del | 66 | "notes": "Este art\u00edculo presenta un ejercicio demostrativo del | ||
| 63 | uso de Dash Sylvereye, una biblioteca desarrollada por el Observatorio | 67 | uso de Dash Sylvereye, una biblioteca desarrollada por el Observatorio | ||
| 64 | Metropolitano CentroGeo, para representar datos simulados de | 68 | Metropolitano CentroGeo, para representar datos simulados de | ||
| 65 | tr\u00e1fico vehicular en la ciudad de Quer\u00e9taro. Se | 69 | tr\u00e1fico vehicular en la ciudad de Quer\u00e9taro. Se | ||
| 66 | construy\u00f3 un dashboard interactivo que permite explorar | 70 | construy\u00f3 un dashboard interactivo que permite explorar | ||
| 67 | din\u00e1micas temporales sobre una red vial real, usando datos | 71 | din\u00e1micas temporales sobre una red vial real, usando datos | ||
| 68 | generados con el simulador SUMO. Este ejemplo permite ilustrar | 72 | generados con el simulador SUMO. Este ejemplo permite ilustrar | ||
| 69 | c\u00f3mo herramientas de visualizaci\u00f3n urbana pueden contribuir | 73 | c\u00f3mo herramientas de visualizaci\u00f3n urbana pueden contribuir | ||
| 70 | a la comprensi\u00f3n de patrones de movilidad y apoyar procesos de | 74 | a la comprensi\u00f3n de patrones de movilidad y apoyar procesos de | ||
| 71 | planificaci\u00f3n en zonas metropolitanas.", | 75 | planificaci\u00f3n en zonas metropolitanas.", | ||
| 72 | "num_resources": 1, | 76 | "num_resources": 1, | ||
| 73 | "num_tags": 32, | 77 | "num_tags": 32, | ||
| 74 | "organization": { | 78 | "organization": { | ||
| 75 | "approval_status": "approved", | 79 | "approval_status": "approved", | ||
| 76 | "created": "2022-05-19T00:10:30.480393", | 80 | "created": "2022-05-19T00:10:30.480393", | ||
| 77 | "description": "Observatorio Metropolitano CentroGeo", | 81 | "description": "Observatorio Metropolitano CentroGeo", | ||
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| 82 | "name": "observatorio-metropolitano-centrogeo", | 86 | "name": "observatorio-metropolitano-centrogeo", | ||
| 83 | "state": "active", | 87 | "state": "active", | ||
| 84 | "title": "Observatorio Metropolitano CentroGeo", | 88 | "title": "Observatorio Metropolitano CentroGeo", | ||
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| 96 | "datastore_active": false, | 100 | "datastore_active": false, | ||
| 97 | "description": "Este art\u00edculo presenta un ejercicio | 101 | "description": "Este art\u00edculo presenta un ejercicio | ||
| 98 | demostrativo del uso de Dash Sylvereye, una biblioteca desarrollada | 102 | demostrativo del uso de Dash Sylvereye, una biblioteca desarrollada | ||
| 99 | por el Observatorio Metropolitano CentroGeo, para representar datos | 103 | por el Observatorio Metropolitano CentroGeo, para representar datos | ||
| 100 | simulados de tr\u00e1fico vehicular en la ciudad de Quer\u00e9taro. Se | 104 | simulados de tr\u00e1fico vehicular en la ciudad de Quer\u00e9taro. Se | ||
| 101 | construy\u00f3 un dashboard interactivo que permite explorar | 105 | construy\u00f3 un dashboard interactivo que permite explorar | ||
| 102 | din\u00e1micas temporales sobre una red vial real, usando datos | 106 | din\u00e1micas temporales sobre una red vial real, usando datos | ||
| 103 | generados con el simulador SUMO. Este ejemplo permite ilustrar | 107 | generados con el simulador SUMO. Este ejemplo permite ilustrar | ||
| 104 | c\u00f3mo herramientas de visualizaci\u00f3n urbana pueden contribuir | 108 | c\u00f3mo herramientas de visualizaci\u00f3n urbana pueden contribuir | ||
| 105 | a la comprensi\u00f3n de patrones de movilidad y apoyar procesos de | 109 | a la comprensi\u00f3n de patrones de movilidad y apoyar procesos de | ||
| 106 | planificaci\u00f3n en zonas metropolitanas.", | 110 | planificaci\u00f3n en zonas metropolitanas.", | ||
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| 114 | "name": "Visualizando la movilidad en Quer\u00e9taro: | 118 | "name": "Visualizando la movilidad en Quer\u00e9taro: | ||
| 115 | an\u00e1lisis de simulaciones urbanas sobre redes viales complejas", | 119 | an\u00e1lisis de simulaciones urbanas sobre redes viales complejas", | ||
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| 240 | { | 244 | { | ||
| 241 | "display_name": "osmnx", | 245 | "display_name": "osmnx", | ||
| 242 | "id": "b7e1537b-a8d4-49d2-982c-4c052729ec4c", | 246 | "id": "b7e1537b-a8d4-49d2-982c-4c052729ec4c", | ||
| 243 | "name": "osmnx", | 247 | "name": "osmnx", | ||
| 244 | "state": "active", | 248 | "state": "active", | ||
| 245 | "vocabulary_id": null | 249 | "vocabulary_id": null | ||
| 246 | }, | 250 | }, | ||
| 247 | { | 251 | { | ||
| 248 | "display_name": "patrones-de-trafico", | 252 | "display_name": "patrones-de-trafico", | ||
| 249 | "id": "b963113c-a763-4fef-87bf-a6af339b30cf", | 253 | "id": "b963113c-a763-4fef-87bf-a6af339b30cf", | ||
| 250 | "name": "patrones-de-trafico", | 254 | "name": "patrones-de-trafico", | ||
| 251 | "state": "active", | 255 | "state": "active", | ||
| 252 | "vocabulary_id": null | 256 | "vocabulary_id": null | ||
| 253 | }, | 257 | }, | ||
| 254 | { | 258 | { | ||
| 255 | "display_name": "planificacion-metropolitana", | 259 | "display_name": "planificacion-metropolitana", | ||
| 256 | "id": "93fd0c41-54ff-4de8-b164-34e1dc4df1fd", | 260 | "id": "93fd0c41-54ff-4de8-b164-34e1dc4df1fd", | ||
| 257 | "name": "planificacion-metropolitana", | 261 | "name": "planificacion-metropolitana", | ||
| 258 | "state": "active", | 262 | "state": "active", | ||
| 259 | "vocabulary_id": null | 263 | "vocabulary_id": null | ||
| 260 | }, | 264 | }, | ||
| 261 | { | 265 | { | ||
| 262 | "display_name": "planificacion-urbana", | 266 | "display_name": "planificacion-urbana", | ||
| 263 | "id": "aec39643-a50b-47bf-9008-cb13e384659d", | 267 | "id": "aec39643-a50b-47bf-9008-cb13e384659d", | ||
| 264 | "name": "planificacion-urbana", | 268 | "name": "planificacion-urbana", | ||
| 265 | "state": "active", | 269 | "state": "active", | ||
| 266 | "vocabulary_id": null | 270 | "vocabulary_id": null | ||
| 267 | }, | 271 | }, | ||
| 268 | { | 272 | { | ||
| 269 | "display_name": "python", | 273 | "display_name": "python", | ||
| 270 | "id": "ea0c471b-9b13-4dd3-8381-aed24f2f855c", | 274 | "id": "ea0c471b-9b13-4dd3-8381-aed24f2f855c", | ||
| 271 | "name": "python", | 275 | "name": "python", | ||
| 272 | "state": "active", | 276 | "state": "active", | ||
| 273 | "vocabulary_id": null | 277 | "vocabulary_id": null | ||
| 274 | }, | 278 | }, | ||
| 275 | { | 279 | { | ||
| 276 | "display_name": "queretaro", | 280 | "display_name": "queretaro", | ||
| 277 | "id": "8b0a7865-6ede-462a-a978-a766fa428786", | 281 | "id": "8b0a7865-6ede-462a-a978-a766fa428786", | ||
| 278 | "name": "queretaro", | 282 | "name": "queretaro", | ||
| 279 | "state": "active", | 283 | "state": "active", | ||
| 280 | "vocabulary_id": null | 284 | "vocabulary_id": null | ||
| 281 | }, | 285 | }, | ||
| 282 | { | 286 | { | ||
| 283 | "display_name": "redes-viales", | 287 | "display_name": "redes-viales", | ||
| 284 | "id": "31d9253e-8b31-402a-b493-b85f3103b514", | 288 | "id": "31d9253e-8b31-402a-b493-b85f3103b514", | ||
| 285 | "name": "redes-viales", | 289 | "name": "redes-viales", | ||
| 286 | "state": "active", | 290 | "state": "active", | ||
| 287 | "vocabulary_id": null | 291 | "vocabulary_id": null | ||
| 288 | }, | 292 | }, | ||
| 289 | { | 293 | { | ||
| 290 | "display_name": "simulacion-de-trafico", | 294 | "display_name": "simulacion-de-trafico", | ||
| 291 | "id": "7a39f84d-7f97-4c22-abf3-a3fee6a641bb", | 295 | "id": "7a39f84d-7f97-4c22-abf3-a3fee6a641bb", | ||
| 292 | "name": "simulacion-de-trafico", | 296 | "name": "simulacion-de-trafico", | ||
| 293 | "state": "active", | 297 | "state": "active", | ||
| 294 | "vocabulary_id": null | 298 | "vocabulary_id": null | ||
| 295 | }, | 299 | }, | ||
| 296 | { | 300 | { | ||
| 297 | "display_name": "simulacion-urbana", | 301 | "display_name": "simulacion-urbana", | ||
| 298 | "id": "995852e8-c993-429c-bdda-31dd13d18747", | 302 | "id": "995852e8-c993-429c-bdda-31dd13d18747", | ||
| 299 | "name": "simulacion-urbana", | 303 | "name": "simulacion-urbana", | ||
| 300 | "state": "active", | 304 | "state": "active", | ||
| 301 | "vocabulary_id": null | 305 | "vocabulary_id": null | ||
| 302 | }, | 306 | }, | ||
| 303 | { | 307 | { | ||
| 304 | "display_name": "sumo", | 308 | "display_name": "sumo", | ||
| 305 | "id": "266e4bda-ee60-47fb-8b86-e7d96400e827", | 309 | "id": "266e4bda-ee60-47fb-8b86-e7d96400e827", | ||
| 306 | "name": "sumo", | 310 | "name": "sumo", | ||
| 307 | "state": "active", | 311 | "state": "active", | ||
| 308 | "vocabulary_id": null | 312 | "vocabulary_id": null | ||
| 309 | }, | 313 | }, | ||
| 310 | { | 314 | { | ||
| 311 | "display_name": "trafico-vehicular", | 315 | "display_name": "trafico-vehicular", | ||
| 312 | "id": "f5618c32-be7f-4a27-aed8-18dc33db87df", | 316 | "id": "f5618c32-be7f-4a27-aed8-18dc33db87df", | ||
| 313 | "name": "trafico-vehicular", | 317 | "name": "trafico-vehicular", | ||
| 314 | "state": "active", | 318 | "state": "active", | ||
| 315 | "vocabulary_id": null | 319 | "vocabulary_id": null | ||
| 316 | }, | 320 | }, | ||
| 317 | { | 321 | { | ||
| 318 | "display_name": "urban-analytics", | 322 | "display_name": "urban-analytics", | ||
| 319 | "id": "e23c64c5-be6a-4cfd-b0c0-f8bd4ae0d993", | 323 | "id": "e23c64c5-be6a-4cfd-b0c0-f8bd4ae0d993", | ||
| 320 | "name": "urban-analytics", | 324 | "name": "urban-analytics", | ||
| 321 | "state": "active", | 325 | "state": "active", | ||
| 322 | "vocabulary_id": null | 326 | "vocabulary_id": null | ||
| 323 | }, | 327 | }, | ||
| 324 | { | 328 | { | ||
| 325 | "display_name": "visualizacion-de-datos", | 329 | "display_name": "visualizacion-de-datos", | ||
| 326 | "id": "8cfefa81-ab60-4188-b38b-09135f8bb70c", | 330 | "id": "8cfefa81-ab60-4188-b38b-09135f8bb70c", | ||
| 327 | "name": "visualizacion-de-datos", | 331 | "name": "visualizacion-de-datos", | ||
| 328 | "state": "active", | 332 | "state": "active", | ||
| 329 | "vocabulary_id": null | 333 | "vocabulary_id": null | ||
| 330 | }, | 334 | }, | ||
| 331 | { | 335 | { | ||
| 332 | "display_name": "visualizacion-urbana", | 336 | "display_name": "visualizacion-urbana", | ||
| 333 | "id": "d4aee374-a6a9-4da1-8a54-1c234888acca", | 337 | "id": "d4aee374-a6a9-4da1-8a54-1c234888acca", | ||
| 334 | "name": "visualizacion-urbana", | 338 | "name": "visualizacion-urbana", | ||
| 335 | "state": "active", | 339 | "state": "active", | ||
| 336 | "vocabulary_id": null | 340 | "vocabulary_id": null | ||
| 337 | }, | 341 | }, | ||
| 338 | { | 342 | { | ||
| 339 | "display_name": "webgl", | 343 | "display_name": "webgl", | ||
| 340 | "id": "667ddd0e-012d-417d-9e85-f8695fac9d29", | 344 | "id": "667ddd0e-012d-417d-9e85-f8695fac9d29", | ||
| 341 | "name": "webgl", | 345 | "name": "webgl", | ||
| 342 | "state": "active", | 346 | "state": "active", | ||
| 343 | "vocabulary_id": null | 347 | "vocabulary_id": null | ||
| 344 | }, | 348 | }, | ||
| 345 | { | 349 | { | ||
| 346 | "display_name": "zona-metropolitana-de-queretaro", | 350 | "display_name": "zona-metropolitana-de-queretaro", | ||
| 347 | "id": "e3c78b5a-e760-4952-9f50-e5ec2b42e990", | 351 | "id": "e3c78b5a-e760-4952-9f50-e5ec2b42e990", | ||
| 348 | "name": "zona-metropolitana-de-queretaro", | 352 | "name": "zona-metropolitana-de-queretaro", | ||
| 349 | "state": "active", | 353 | "state": "active", | ||
| 350 | "vocabulary_id": null | 354 | "vocabulary_id": null | ||
| 351 | } | 355 | } | ||
| 352 | ], | 356 | ], | ||
| 353 | "title": "Visualizando la movilidad en Quer\u00e9taro: an\u00e1lisis | 357 | "title": "Visualizando la movilidad en Quer\u00e9taro: an\u00e1lisis | ||
| 354 | de simulaciones urbanas sobre redes viales complejas", | 358 | de simulaciones urbanas sobre redes viales complejas", | ||
| 355 | "type": "dataset", | 359 | "type": "dataset", | ||
| 356 | "url": | 360 | "url": | ||
| 357 | ereye-analisis-de-simulaciones-urbanas-sobre-redes-viales-complejas/", | 361 | ereye-analisis-de-simulaciones-urbanas-sobre-redes-viales-complejas/", | ||
| 358 | "version": null | 362 | "version": null | ||
| 359 | } | 363 | } |
