Routing API
Nov 5,2025

GISBox is a one-stop 3D GIS data editing, conversion and publishing platform that supports editing in multiple GIS formats such as OSGB/GEOTIFF/RVT, converting to 3DTiles/Terrain and publishing.

Introduction

Reverse Geocoding API is a technical interface that converts longitude and latitude coordinates into human-readable addresses. It automatically returns the corresponding structured address information (such as "Tiananmen Square, Dongcheng District, Beijing") by inputting GPS coordinates (such as 116.404,39.915), and supports the attachment of surrounding POI (points of interest) data. This service is widely used in map navigation, logistics tracking, location analysis and other scenarios, and is one of the core components of LBS (location-based services).

File Structure

The file structure of the Routing API (path planning service) usually includes the following core parts:

Core source code files: These files define the key classes and methods of the routing server, such as the main interface file that implements the routing logic, the specific class that handles HTTP connections, etc. These files are the basis for the operation of the service and are responsible for receiving requests, calculating paths, and returning results.
Configuration files: Files used to define service operation parameters, such as routing rules, default header information, processing queue configuration, etc. These configuration files are usually stored in text form and dynamically loaded through code to adapt to different scenario requirements.
Sample code and application files: Contains sample code that shows how to integrate and use the Routing API in actual projects, which may cover the complete process from basic routing settings to complex scenario calls. These files help developers quickly understand the service functions and implement the project.
License and documentation files: The license file clarifies the use rights and restrictions of the software, such as the open source terms based on the MIT agreement; the documentation file provides installation steps, quick start guides, and API usage instructions to help developers use the service in compliance and reduce learning costs.

Pros

Improve user experience: By providing real-time and accurate route planning, users can quickly find the best route and reduce travel time or cost. For example, during peak hours, it can automatically avoid congested roads and recommend alternative routes.
Integration convenience: Developers can quickly integrate into various applications (such as navigation software, logistics platforms, and shared travel services) through standardized API interfaces, without having to develop complex algorithms from scratch, reducing development costs and time.
Multi-mode support: Supports multiple travel modes such as driving, walking, cycling, and public transportation to meet the needs of different scenarios. For example, recommend routes with bicycle lane priority for cyclists, or provide transfer solutions for public transportation users.
Real-time dynamic update: Combined with real-time traffic data (such as accidents, congestion, construction, etc.), dynamically adjust route planning to ensure that users get the latest information. For example, in the event of a sudden traffic accident, the system can immediately re-plan the route.
Scalability and flexibility: Allow developers to customize parameters (such as avoiding highways, toll roads, etc.), or combine with other services (such as weather forecasts, parking lot information) to provide comprehensive solutions.

Cons

Dependence on data quality: The accuracy of route planning is highly dependent on the integrity of map data and real-time traffic information. If the data is not updated in time or there are errors (such as road closures that are not marked), it may lead to planning errors.
Cost and restrictions: Commercial APIs are usually charged by the number of calls, and high-frequency use may increase costs. Some free APIs may have call restrictions (such as QPS restrictions) or simplified functions (such as no support for real-time traffic).
Privacy and data security risks: The use of APIs requires the transmission of user location data, which may cause privacy concerns. If the service provider does not properly encrypt or protect the data, it may lead to information leakage.
Limited ability to handle complex scenarios: In extreme weather, natural disasters, or temporary traffic control, the API may not be able to respond in time or provide effective alternatives, and must rely on manual intervention.
Network dependency: Route planning depends on network connection. If the user is in an environment without network (such as remote areas), the service may not be available, or it may need to rely on offline maps with limited functions.

Application Scenario

Routing API (path planning service) is widely used in various scenarios that require efficient movement. In navigation software, it provides users with real-time driving, walking or cycling routes to help avoid congestion; the logistics industry uses it to optimize truck routes and reduce transportation costs; shared travel platforms rely on path planning to dispatch vehicles and shorten pick-up time; public transportation systems integrate subway and bus transfer plans through APIs; and the tourism sector uses route recommendations to enhance the tourist experience. In addition, scenarios such as food delivery, emergency rescue, and drone route planning also rely heavily on this technology. The core goal is to improve the efficiency and accuracy of spatial movement through intelligent algorithms.