Dynamic Recognition Model of Driver’s Propensity under Multilane Traffic Environments
Table 3
Conditional probability matrices of driver’s characteristics under T7 conditions.
Type
Conditional probability matrices of driver’s characteristics
(∣ human)
(∣ human)
(∣ human)
(∣ human)
(∣ human)
(small, medium, and large)
(large, medium, and small)
(slow, moderate, and fast)
(high, medium, and low)
(low, medium, and high)
Ty1
0.75
0.15
0.10
0.85
0.10
0.05
0.80
0.10
0.10
0.90
0.05
0.05
0.80
0.10
0.10
Ty2
0.45
0.45
0.10
0.40
0.45
0.15
0.50
0.40
0.10
0.60
0.30
0.10
0.10
0.30
0.10
Ty3
0.15
0.75
0.10
0.10
0.80
0.10
0.10
0.80
0.10
0.15
0.70
0.15
0.10
0.80
0.10
Ty4
0.10
0.40
0.50
0.10
0.45
0.45
0.10
0.45
0.45
0.15
0.25
0.60
0.10
0.40
0.50
Ty5
0.10
0.10
0.80
0.10
0.15
0.75
0.10
0.10
0.80
0.10
0.15
0.75
0.05
0.15
0.80
Notes: The above table shows the corresponding probability when driver’s characteristics are conservative type, common-conservative type, common type, common-radical type and radical type. For example, when driver’s characteristics are conservative type, the small probability of is 75%, the medium probability is 15%, and the large probability is 10%.