Off-road trafficability using multicriteria decision analysis
Development and validation of vehicle trafficability maps
Bibliographic Data
| ID | 21737668 |
|---|---|
| Authors | Renan Fabres Dalmonech (0000-0002-4289-9873, Universidade Federal do Paraná, corresponding author), Cláudia Maria De Almeida (0000-0002-6523-3169, Instituto Nacional de Pesquisas Espaciais), Rodrigo De Campos Macedo (0000-0002-5345-7149, Universidade Federal do Paraná) |
| Year | 2026 |
| Pages | 1-20 |
| Publication date | 2026-05-11 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Cartography and Geographic Information Science (JOURNAL) |
| Journal identifiers | ISSN: 1523-0406 • E-ISSN: 1545-0465 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/15230406.2026.2653182 |
| OpenAlex | W7160836072 |
| Language | EN |
| References cited | 45 |
This study presents an original methodological contribution by developing and validating a replicable framework for the generation of vehicle trafficability maps through refined spatial modeling techniques, relying on biophysical, infrastructure, and meteorological variables. By integrating remote sensing data, Geographic Object-Based Image Analysis (GEOBIA), Machine Learning classification (Random Forest), and Multicriteria Decision Analysis (MCDA) operationalized via the Analytic Hierarchy Process (AHP), we designed a robust spatial model within the Dinamica EGO platform. This methodological innovation enables the systematic integration of heterogeneous spatial layers (e.g. relief, land use and land cover, soil, wind speed, precipitation, temperature) and non-spatial data (e.g. vehicle tire type), producing a continuous Trafficability Index and its subsequent categorical mapping using Jenks natural breaks approach. The model’s validity was demonstrated through comprehensive field surveys and accuracy assessment via statistical metrics, achieving an overall accuracy of 84.7% and a Kappa index of 0.81. This work advances cartographic modeling by formalizing a generalizable procedure that can support decision-making in diverse applications, such as transportation planning, environmental management, and military operations. It contributes as well to the methodological repertoire of GIScience for terrain analysis and cartographic modeling
Decision support system · Digital elevation model · Geographic information system · Traffic and Road Safety · Traffic control and management · Vehicle emissions and performance
NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space
Decision-making with the AHP
A scaling method for priorities in hierarchical structures
The analytic hierarchy process—what it is and how it is used
How to make a decision
Aggregating individual judgments and priorities with the analytic hierarchy process
A physically based, variable contributing area model of basin hydrology / Un modèle à base physique de zone d'appel variable de l'hydrologie du bassin versant
Random Forests
Influence of Quality of Remote Sensing Data on Vegetation Passability by Terrain Vehicles
Processo Analítico Hierárquico (AHP) em ambiente SIG
| Highly cited | No |
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