How Gaode’s AI‑Powered Route Planner Saves Money and Time During Holiday Travel

National holiday travel peaks are approaching, and Gaode Map offers three route‑planning functions that help navigation users save money and time.

Feature 1: Toll‑Free Route Planning

During free highway periods, Gaode uses a nationwide toll‑policy knowledge graph and real‑time vehicle location to recommend exits before the free window ends, saving tolls when users have driven over 50 km and have less than one hour left before fees resume.

How it works:

Spatio‑temporal dynamic prediction: Fuse real‑time speed, upstream traffic, and historical flow models to accurately predict the user's arrival time at exits.

Massive data recall: Retrieve candidate exits from a database containing billions of historical trips.

Multi‑dimensional optimal path decision: Evaluate punctuality, detour cost, and estimated toll savings, then present the best solution via voice, route tags, or pop‑up.

Feature 2: Faster Global Route Optimization

Gaode continuously merges real‑time traffic, flow direction, road fees, and risk to model multiple objectives, predicting confidence and user acceptance for faster routes. When a safer, quicker route is found, a pop‑up invites the user to switch.

How it works:

Data mining: Long‑term sequences capture stable preferences; short‑term sequences capture current intent, building a precise user profile.

Click and time‑saving multi‑objective: A recommendation model balances suitability and actual time saved.

Pair‑DIN modeling: Combines long‑short preference sequences with dynamic route features to predict click‑through and time‑saving confidence.

Feature 3: High‑Frequency Rapid‑Route Detection

In probe mode, Gaode monitors traffic and signal changes within a 5 km radius, refreshing the path every 30 seconds. If a route can save more than a minute with high confidence and no risk, it is dynamically suggested or switched.

How it works:

Data mining: Full‑OD heat‑map extraction and paired‑user mining provide base data for ETA win‑rate prediction.

ETA win‑rate prediction: Uses real‑time conditions, historical speeds, and signal states to forecast the success probability of a switch.

Route planning & recommendation: Heat‑map, traffic, and signal data drive high‑confidence rapid routes.

Shadow‑car shadowing: Parallel “shadow” routes are visualized and evaluated after the trip.

Real‑time trajectory simulation: Integrates live traffic and peer data to continuously adjust predictions.

Overall, Gaode’s AI‑driven dynamic routing system combines large‑scale data, multi‑objective optimization, and real‑time modeling to redefine navigation reliability during the holiday rush.