Best use for travel intelligence
For travel decisions, roadside-noise pages are most useful when they admit that distance, building shielding, and barriers can matter as much as the nearest station reading.
Data cluster
Roadside/community station data, annual summaries, and source-proxy layers used to explain major-road and urban-noise exposure.
For travel decisions, roadside-noise pages are most useful when they admit that distance, building shielding, and barriers can matter as much as the nearest station reading.
3 of 5 sources look official or agency-backed.
4 sources expose API, feed, CKAN/DataStore, JSON, XML, or similar machine-readable access.
1 sources have live, hourly, event-driven, warning, or frequent update language.
Combine official stations with road and barrier proxies, but keep measured observations separate from modeled source-context layers.
Last checked: 2026-05-11.
Source confidence: This cluster is strongest when several sources describe the same traveler problem from different angles: official context, machine-readable feeds, and slower fallback documentation.
Geospatial noise-mitigation and modeling layer for wall=noise_barrier and related barrier geometry near roads, rail lines, airports, and settlements.
OpenStreetMap Overpass API and ODbL geospatial data Geospatial and satelliteGeospatial enrichment for man_made=monitoring_station with monitoring:noise tagging, useful for mapping public or private noise-monitoring locations and nearby source context.
OpenStreetMap Overpass API and ODbL geospatial data Statistics, economy, and financeNational Statistical Office environmental-statistics publication with 24-hour average noise tables for Bangkok, vicinity stations, and some provinces, based on official monitoring summaries.
Public e-book and statistical tables Weather, environment, and disastersHistorical daily average Leq data from Pollution Control Department noise-monitoring stations, typically published as yearly CSV files for nationwide station records.
CKAN dataset with CSV download resources Weather, environment, and disastersOfficial Pollution Control Department ambient-noise monitoring surface with station codes, area type, update time, Leq 24hr, hourly Leq, Lmin, Lmax, and station detail views. Daily station data is presented as preliminary monitoring data.
Public monitoring dashboard and station pages; no documented bulk public JSON API verified