SIMULADORES DE CONDUCCION Y TECNOLOGIAS GEOESPACIALES PARA ESTUDIOS DE SEGURIDAD VIAL
PID2021-122471OB-I00
•
Nombre agencia financiadora Agencia Estatal de Investigación
Acrónimo agencia financiadora AEI
Programa Programa Estatal para Impulsar la Investigación Científico-Técnica y su Transferencia
Subprograma Subprograma Estatal de Generación de Conocimiento
Convocatoria Proyectos de I+D+i (Generación de Conocimiento y Retos Investigación)
Año convocatoria 2021
Unidad de gestión Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023
Centro beneficiario UNIVERSIDAD POLITECNICA DE MADRID
Identificador persistente http://dx.doi.org/10.13039/501100011033
Resultados relacionados
Resultados totales (Incluyendo duplicados): 3Encontrada(s) 1 página(s)
Set de datos (Dataset). 2025
Mobile Mapping System Accuracy
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
- Castro Malpica, Maria
- Iglesias Martínez, Luis
<p>The proyect SIMGEOSEV (Driving Simulators and Geospatial Technologies for Traffic Safety Studies) studies the relationships between driver behaviour and road design variables using a driving simulator.</p>
<p></p>
<p>Data available are:</p>
<p>1- GPS Differential Correction Strategy</p>
<p>2- Speed</p>
<p>3- Lane</p>
<p>5- Discrepancies</p>
<p>6- Planimetric Error.</p>
<p></p>
<p>The data were acquired using a Mobile Mapping System (MMS), which enabled the capture of highly precise geometric and positional information of the road network. Data collection was conducted in both directions along the M-611 road at speeds of 40 and 60 km/h, ensuring comprehensive coverage of the study section. To guarantee accurate georeferencing, three methods were applied: Z60, based on a local GNSS differential correction; VRS, employing an RTK system with a virtual reference station provided by the Spanish National Geographic Institute (IGN); and SINGLE, utilizing RTK-mode data from the nearest permanent GNSS station managed by the IGN.</p>
<p></p>
<p>Data available are:</p>
<p>1- GPS Differential Correction Strategy</p>
<p>2- Speed</p>
<p>3- Lane</p>
<p>5- Discrepancies</p>
<p>6- Planimetric Error.</p>
<p></p>
<p>The data were acquired using a Mobile Mapping System (MMS), which enabled the capture of highly precise geometric and positional information of the road network. Data collection was conducted in both directions along the M-611 road at speeds of 40 and 60 km/h, ensuring comprehensive coverage of the study section. To guarantee accurate georeferencing, three methods were applied: Z60, based on a local GNSS differential correction; VRS, employing an RTK system with a virtual reference station provided by the Spanish National Geographic Institute (IGN); and SINGLE, utilizing RTK-mode data from the nearest permanent GNSS station managed by the IGN.</p>
Proyecto: MICIU/AEI/PID2021-122471OB-I00
Set de datos (Dataset). 2026
Mobile Mapping System. M611 road
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
- Lopez-Cuervo, Serafin
- Rodríguez-Solano Suárez, Roberto
- Iglesias Martínez, Luis
- Castro, Maria
The proyect SIMGEOSEV (Driving Simulators and Geospatial Technologies for Traffic Safety Studies) studies the relationships between driver behaviour and road design variables using a driving simulator., DESCRIPCION DEL DATASET
Data available are:
1- JPG images captured by the Mobile Mapping System (MMS) equipment
2- LAS files comprising the various point clouds acquired by the MMS along the road section
3- Post-processed Delph INS report
4- Location of the images (text file)
5- Location of images (in SHP format)
Data available are:
1- JPG images captured by the Mobile Mapping System (MMS) equipment
2- LAS files comprising the various point clouds acquired by the MMS along the road section
3- Post-processed Delph INS report
4- Location of the images (text file)
5- Location of images (in SHP format)
Proyecto: MICIU/AEI/PID2021-122471OB-I00
Set de datos (Dataset). 2026
Mobile Mapping System. M539 road
e-cienciaDatos, Repositorio de Datos del Consorcio Madroño
- Lopez-Cuervo, Serafin
- RODRIGUEZ-SOLANO SUAREZ, ROBERTO
- Iglesias Martínez, Luis
- Castro, Maria
<p>3. Descripción del proyecto</p>
<p></p>
<p>The proyect SIMGEOSEV (Driving Simulators and Geospatial Technologies for Traffic Safety Studies) studies the relationships between driver behaviour and road design variables using a driving simulator. </p>
<p></p>
<p>4. Descripción del dataset</p>
<p></p>
<p>Data available are: </p>
<p>1- JPG images captured by the Mobile Mapping System (MMS) equipment </p>
<p>2- LAS files comprising the various point clouds acquired by the MMS along the road section</p>
<p>3- Post-processed Delph INS report</p>
<p>4- Location of the images (text file) </p>
<p>5- Location of images (in SHP format) </p>
<p></p>
<p>METODOLOGÍA</p>
<p></p>
<p>1. Metolodogía (empleada para la recogida o generación de los datos)
The data were acquired using a Mobile Mapping System (MMS), which enabled the capture of highly precise geometric and positional information of the road network. Data collection was conducted along the M-539 road (outbound direction) at speed of 40 km/h, ensuring comprehensive coverage of the study section. To guarantee accurate georeferencing, a differential correction method based on a local GNSS (Mobile Base Station) was applied.</p>
<p></p>
<p>The proyect SIMGEOSEV (Driving Simulators and Geospatial Technologies for Traffic Safety Studies) studies the relationships between driver behaviour and road design variables using a driving simulator. </p>
<p></p>
<p>4. Descripción del dataset</p>
<p></p>
<p>Data available are: </p>
<p>1- JPG images captured by the Mobile Mapping System (MMS) equipment </p>
<p>2- LAS files comprising the various point clouds acquired by the MMS along the road section</p>
<p>3- Post-processed Delph INS report</p>
<p>4- Location of the images (text file) </p>
<p>5- Location of images (in SHP format) </p>
<p></p>
<p>METODOLOGÍA</p>
<p></p>
<p>1. Metolodogía (empleada para la recogida o generación de los datos)
The data were acquired using a Mobile Mapping System (MMS), which enabled the capture of highly precise geometric and positional information of the road network. Data collection was conducted along the M-539 road (outbound direction) at speed of 40 km/h, ensuring comprehensive coverage of the study section. To guarantee accurate georeferencing, a differential correction method based on a local GNSS (Mobile Base Station) was applied.</p>
Proyecto: MICIU/AEI/PID2021-122471OB-I00