# Traffic Flow Prediction (Public Transit) on 350 zones

Source: [Traffic Flow Prediction (Public Transit) on 350 zones](<https://www.sota2.com/research/sota/traffic-flow-prediction-public-transit-on-350-zones>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-03-09T07:19:27.790Z

Evaluation of models performing public transit traffic flow prediction on the 350 zones dataset, typically measured using error metrics like RMSE, R2, and MAPE.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Traffic Flow Prediction (Public Transit) |
| Dataset (including any stated split) | 350 zones |
| Metric | RMSE |
| Unit | SCALAR |
| Direction | Lower is better |
| Results loaded | 6 of 6 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [RMSE](<https://www.sota2.com/research/sota/traffic-flow-prediction-public-transit-on-350-zones.md?metric=RMSE>): Lower is better; unit: SCALAR.

- [R2](<https://www.sota2.com/research/sota/traffic-flow-prediction-public-transit-on-350-zones.md?metric=R2>): Higher is better; unit: SCALAR.

- [MAPE](<https://www.sota2.com/research/sota/traffic-flow-prediction-public-transit-on-350-zones.md?metric=MAPE>): Lower is better; unit: PERCENT.

## Recorded results

| Method | RMSE | Result date | Report paper |
| --- | --- | --- | --- |
| GeoAI Hybrid | 0.112 | Not recorded | 69ae53f62d603e6de3e42a14 |
| GNN | 0.147 | Not recorded | 69ae53f62d603e6de3e42a14 |
| RF | 0.168 | Not recorded | 69ae53f62d603e6de3e42a14 |
| MGWR | 0.185 | Not recorded | 69ae53f62d603e6de3e42a14 |
| GWR | 0.228 | Not recorded | 69ae53f62d603e6de3e42a14 |
| OLS | 0.289 | Not recorded | 69ae53f62d603e6de3e42a14 |

### GeoAI Hybrid

RMSE: 0.112. Result ID: 69ae743e6dbb7075b9562264.

[Reporting paper](<https://www.sota2.com/research/paper/69ae53f62d603e6de3e42a14.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69ae53f62d603e6de3e42a14.md>)

Recorded evaluation configuration: {"significance\_vs\_RF":"better"}. This record does not assert independent reproduction.

### GNN

RMSE: 0.147. Result ID: 69ae743e6dbb7075b9562263.

[Reporting paper](<https://www.sota2.com/research/paper/69ae53f62d603e6de3e42a14.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa649c1e209131cea05915.md>)

Recorded evaluation configuration: {"significance\_vs\_GWR":"p \< 0.05"}. This record does not assert independent reproduction.

### RF

RMSE: 0.168. Result ID: 69ae743e6dbb7075b9562262.

[Reporting paper](<https://www.sota2.com/research/paper/69ae53f62d603e6de3e42a14.md>)

Recorded evaluation configuration: {"significance\_vs\_GWR":"p \< 0.05"}. This record does not assert independent reproduction.

### MGWR

RMSE: 0.185. Result ID: 69ae743e6dbb7075b9562261.

[Reporting paper](<https://www.sota2.com/research/paper/69ae53f62d603e6de3e42a14.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### GWR

RMSE: 0.228. Result ID: 69ae743e6dbb7075b9562260.

[Reporting paper](<https://www.sota2.com/research/paper/69ae53f62d603e6de3e42a14.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### OLS

RMSE: 0.289. Result ID: 69ae743e6dbb7075b956225f.

[Reporting paper](<https://www.sota2.com/research/paper/69ae53f62d603e6de3e42a14.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

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