Update README.md

README.md

@@ -22,6 +22,8 @@ A Deep Neural Network for predicting bus travel times in Hong Kong.
 **Accuracy:** ~64 seconds Mean Absolute Error.  
 **Coverage:** Trained on KMB and CTB routes.
 
+The published version is mapped to used with [hk-bus-crawling](https://github.com/hkbus/hk-bus-crawling)
+
 ## Inputs
 The model accepts 5 inputs. All numerical inputs should be shaped `(N, 1)`.
 
@@ -29,7 +31,7 @@ The model accepts 5 inputs. All numerical inputs should be shaped `(N, 1)`.
 2.  **`num_stops`** (Float): Number of stops in the trip.
 3.  **`hour`** (Int): Hour of the day (0-23).
 4.  **`day_of_week`** (Int): 0=Sunday, 1=Monday, ..., 6=Saturday.
-5.  **`route_id`** (String): The specific GTFS Route ID (e.g., `968+1+...`). If unknown, use `"UNKNOWN"`.
+5.  **`route_id`** (String): The specific Route ID. If unknown, use `"UNKNOWN"`.
 
 ## Usage (Python)