Research Article

Speeding Violation Type Prediction Based on Decision Tree Method: A Case Study in Wujiang, China

Table 1

Descriptive statistics of the speeding violation samples (N=53283).

FactorN (%)FactorN (%)

Vehicle type7:00-8:59 (1)1156 (2.18%)
Truck (0)25(0.05%)9:00-11:59 (2)43310 (81.29%)
Car (1)52783 (99.95%)12:00-16:59(3)8683 (16.30%)
License plate17:00-19:59(4)8 (0.00%)
Local license plate (0)44446 (83.40%)20:00-23:59(5)103 (0.19%)
Foreign license plate (1)8837 (16.60%)Speeding area
Standard speed limits (km/h)Fenhu (0)373 (0.70%)
40 (0)2(0.00%)Songling (1)49780 (93.43%)
60 (1)2 (0.00%)Lili (2)3106 (5.83 %)
70 (2)24042(45.12%)Taoyuan (3)24 (0.05%)
80 (3)26652(50.02%)Position
90 (4)1451(2.72%)Country road (0)5484 (10.29%)
100 (5)1134 (2.14%)Urban road (1)37209 (69.83%)
SeasonIntersection (2)3658 (6.87%)
Spring (0)24677 (46.32%)POI (3)6932 (13.01%)
Summer (1)10755 (20.18%)Rainfall
Autumn (2)10274 (19.28%)No rain (0)48519 (91.06%)
Winter (3)7577 (14.22%)Light rain (1)4461 (8.38%)
WeekModerate rain (2)269(0.50%)
Weekday (0)39477 (73.70%)Heavy rain (3)34 (0.06%)
Weekend (1)13806 (26.30%)Speeding type
Time of dayType 1 (0)46757(87.75%)
0:00-6:59 (0)23 (0.04%)Type 2 (1)6526 (12.25%)