Method of Evaluating and Predicting Traffic State of Highway Network Based on Deep Learning

Table 1

The main attribute information of the observation station.

Index	Year	Observation station name	Observation station type	Investigation method	Design speed (km/h)
1	2016	Qingxianzhuxianzhan	Continuous	Equipment observation	120
2	2016	Cangzhoubei	Continuous	Equipment observation	120
3	2016	Cangzhouxi	Continuous	Equipment observation	120
4	2016	Xiadian	Continuous	Equipment observation	80
5	2016	Dadingfu	Continuous	Equipment observation	80
6	2016	Liangjiadian	Continuous	Equipment observation	80
…	…	…	…	…	…
228	2016	Pianqiaozi	Continuous	Equipment observation	80
229	2016	Dongying	Continuous	Equipment observation	80
230	2016	Taipingzhuang	Continuous	Equipment observation	60
231	2016	Mujiangkou	Continuous	Equipment observation	40
232	2016	Yeheqiaoyanghuzhongxin	Continuous	Equipment observation	40
233	2016	Erbaozi	Continuous	Equipment observation	30