Google Maps相关API问询：如何获取指定半径内道路事故信息

Hey there! Let me walk you through what's available for fetching road accident data (both real-time and historical) within a specified radius, since you couldn't find a dedicated Google Maps API for this:

Google Maps Platform Limitations #

First off, it's important to clarify: Google Maps doesn't offer a dedicated API that returns structured accident data (especially historical records). While the Google Maps JavaScript API includes a Traffic Layer that visualizes real-time accidents on the map, this is purely for display purposes—you can't extract raw, machine-readable accident details like location timestamps or incident types directly from this layer. The Roads API and other core Google Maps endpoints also don't expose accident history.

Alternative Methods to Get Accident Data #

If you need this data, here are reliable approaches to consider:

• Third-Party Traffic Data APIs
  Several specialized providers offer APIs that include both real-time and historical accident data, with support for radius-based queries. Examples include:

  • TomTom Traffic API: Provides incident data (accidents, road closures, etc.) with geographic filtering options.
  • HERE Traffic API: Offers detailed accident records, including location, severity, and timestamp, which you can query by bounding box or radius.
    Most of these require a paid subscription and API key, but they deliver structured, actionable data suitable for integration.

• Public/Government Data Portals
  Many national or regional transportation agencies publish historical accident datasets for public use. For example:

  • In the US, the NHTSA (National Highway Traffic Safety Administration) maintains crash databases that you can download.
  • EU countries often share road safety data via regional open data platforms.
    Once you download these datasets, you'll need to process them with geospatial tools (like PostGIS for SQL, or GeoPandas in Python) to filter records within your target radius. Note that these datasets are usually not real-time, but they're great for historical analysis.

• Web Scraping (Not Recommended for Production)
  Some public-facing websites display accident data, but scraping this content is generally against most sites' terms of service. Additionally, data structures can change without warning, making this approach unstable and high-maintenance. Only consider this for personal, non-commercial projects if no other options exist.

内容的提问来源于stack exchange，提问作者Mohsin Khubaib Ahmed