Java/Spark and python analysis of traffic flow data in Turin, IT
branch master:
- spark/java application : read the xml file and generate csv
- python : generic analysis
branch AVGSpeedPerStreet:
- spark/java application : read the xml file and generate a (street, avgSpeed) pairRDD and save as text file
| Feature | Description |
|---|---|
| Lcd1 | Location code of the starting TMC point of the current edge. |
| Road_LCD | Location code of the TMC road to which this TMC point belongs |
| Road_name | Road name to which this TMC point belongs |
| Offset | Distance from the beginning of the edge along the travel direction [m] |
| Direction | Travel direction (positive or negative) |
| Latitude | Latitude of this TMC point |
| Longitude | Longitude of this TMC point |
| Accuracy | Measure accuracy (percentage) |
| Period | Aggregation period [minutes] |
| Date | Measurement date |
| Flow | Vehicle flow [vehicles/h] |
| Speed | Average speed [km/h] |
[Source : http://www.5t.torino.it/simone/ns/traffic_data.xsd ]