Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
September 27, 2025

Methods for Constructing Graphs of Transport Networks Using GIS from Remote Sensing Data

View Full Paper
Ask AI
Bookmark
Share

Authors

NMNatalia MartynovaVBValentina A. Budarova

Discussion

Loading...

Member takes

Overview

Analysis reveals effective methods for constructing transport networks in urban planning, indicating remote sensing data integration is beneficial.

Key Points

  • The approach effectively constructs graphs of transport networks, enhancing automation in planning.
  • Utilizing machine learning algorithms, the study classified road segments based on remote sensing data, improving accuracy.
  • Integration of geostatistical analysis with GIS highlights adaptability for real-time infrastructure monitoring.
  • The findings suggest potential applications in intelligent traffic management systems, optimizing flow efficiency.

Cite This Study

Martynova et al. (2025) studied this question.

synapsesocial.com/papers/68d7b3edeebfec0fc523739fhttps://doi.org/10.63550/iceip.2025.34.68.067
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Road Network Vectorization With Geometric Enforcement2026
  2. 2Optimization of Road Construction Planning Using GIS and Remote Sensing Technologies2025 · 1 citations
  3. 3Graph Theory in Daily Life: Using Small-Scale Graphs to Optimize School Bus Routing2015
  4. 4DETERMINATION OF TRANSPORT ROUTE NETWORK IN SOKOTO AREA, NIGERIA, USING REMOTE SENSING AND GIS2024
  5. 5GIS in transportation infrastructure: a systematic review and bibliometric analysis of construction, management, and digital integration2026 · 1 citations