A Data Mining Approach on Lorry Drivers Overloading in Tehran Urban Roads

Table 3

Estimated variables with frequency of each classification.

Variable	Category	Frequency (%)
Driving offense	Overloading	53
	Nonoverloading	47
Survey time	Day	79
	Night	21
Holiday status	Workday	82
	Holiday	18
Lorry type	Pickup truck	23
	Small truck	21
	Truck	39
	Trailer	17
Truck tonnage capacity section	Under 3.5	16
	3.5 to 19	30
	19 to 40	34
	More than 40	20
Vehicle’s age	1 to 10	42
	11 to 20	34
	More than 20	24
Vehicle ownership	Drive is owner	66
	Driver is partner	13
	Driver is not owner	21
Registration plate	Private	21
	Public	79
Load type	Metal	11
	Constructional	25
	Scrap	23
	Agricultural	18
	Other	23
Packing type	Packed	48
	Bulk	46
	Oversize load	6
Traffic type	Inner	39
	Passing	9
	Input	26
	Output	27
Driver’s age	Under 40	51
	41 to 50	29
	More than 50	20
Driver’s experience (year)	1 to 10	41
	11 to 20	37
	More than 20	22