Research Article
Congestion Prediction Based on Dissipative Structure Theory: A Case Study of Chengdu, China
Table 1
GPS track and order data structure description.
| Attribute name | Example | Attribute description |
| CAR_ID | 0531a086baf4ffa55f648202bd6fea25 | Vehicle number | ORDER_ID | 072a331f7399614626d2f73698c495b1 | Track number | TIME | 1478482828 | GPS timestamp | O_TIME | 1478482826 | Boarding time | D_TIME | 1478483238 | Get-off time | O_LONGITUDE | 104.1251 | Longitude of boarding position | O_LATITUDE | 30.67288 | Latitude of boarding position | D_LONGITUDE | 104.11075 | Longitude of drop-off position | D_LATITUDE | 30.65962 | Latitude of drop-off position |
|
|