Method and device for monitoring driving behavior risk degree
The present disclosure discloses a method for monitoring driving behavior risk degree, including: acquiring first vehicle size information of a first vehicle, second vehicle size information of a second vehicle, vehicle driving information and vehicle driving environment information; determining the number of overlapping regions of the first vehicle and the second vehicle based on the first vehicle size information, the second vehicle size information and the vehicle driving information; and determining risk degree information of driving behavior based on the number of overlapping regions, the vehicle driving information and the vehicle driving environment information. This method may be applied in multiple scenarios, and facilitates drivers or passengers in avoiding them from traffic collision incidents, so that the safeties of the drivers and the passengers is greatly improved.
1. A method for monitoring driving behavior risk degree, comprising:
acquiring first vehicle size information of a first vehicle, acquiring second vehicle size information of a second vehicle, and acquiring vehicle driving information and vehicle driving environment information, wherein the vehicle driving information comprises driving speed information of the first vehicle and driving speed information of the second vehicle;
determining a number of overlapping regions of the first vehicle and the second vehicle based on the first vehicle size information, the second vehicle size information, and the vehicle driving information; and
determining risk degree information of driving behavior based on the number of overlapping regions, the vehicle driving information, and the vehicle driving environment information;
wherein when the number of overlapping regions is 1, the step of determining the risk degree information of driving behavior comprises steps of:
determining a remaining collision time duration, a stopping time duration and an escape time duration based on the vehicle driving information and the vehicle driving environment information, wherein the escape time duration is a time duration lasting from the current time moment to a target moment, and the target moment is a moment when the overlapping regions between the first vehicle and the second vehicle disappears;
determining the risk level based on the remaining collision time duration, the stopping time duration and the escape time duration, or based on the preset risk level probability model;
determining the target risk degree monitoring strategy based on the risk level, the remaining collision time duration, the stopping time duration and the escape time duration; and
determining the risk degree information of driving behavior based on the target risk degree monitoring strategy;
wherein the risk level comprises a dangerous state, an attention reminding state and a safe state, the step of determining the risk level based on the remaining collision time duration, the stopping time duration, the escape time duration, or based on the preset risk level probability model comprises steps of:
determining the risk level as the safe state, when the escape time duration is greater than or equal to the remaining collision time duration; or
determining the risk level based on the preset risk level probability model when the escape time duration is less than the remaining collision time duration;
wherein the remaining collision time duration is a remaining time duration lasting from the current moment to a time point when the first vehicle collides with the second vehicle, the remaining collision time duration is calculated according to a formula listed below:
TTC
=
p
j
(
t
)
-
p
i
(
t
)
v
i
(
t
)
-
v
j
(
t
)
i
=
argmax
(
v
hv
(
t
)
,
v
oj
(
t
)
)
,
i
∈
{
hv
,
o
j
}
j
=
argmax
(
v
hv
(
t
)
,
v
oj
(
t
)
)
,
j
∈
{
hv
,
o
j
}
wherein TTC represents the remaining collision time duration, p represents current location information, v represents the driving speed information, Av represents the first vehicle, o j represents the second vehicle, t represents the current moment, j represents an index of other traffic participants;
the stopping time duration represents a time duration lasting from the current moment to a moment when the first vehicle stops driving; the stopping time duration is calculated according to a formula listed below:
TT
S
a
i
(
v
h
v
(
t
)
,
w
s
)
=
{
t
❘
w
s
v
h
v
(
t
)
a
i
,
i
∈
{
e
,
a
,
c
}
}
s
∈
=
{
clear
,
fog
,
rain
,
dust
}
=
{
c
,
f
,
r
,
d
}
w
s
=
{
c
:
1
,
f
:
1.4
,
r
:
1.2
,
d
:
1.3
}
wherein TTS represents the stopping time duration, s represents driving environment weather information, clear, fog, rain, dust represents that the driving environment weather information are sunny weather, foggy weather, rainy weather and dusty weather, respectively, w s represents coefficients corresponding to different driving environment weather information, a represents deceleration information;
the escape time duration is calculated according to a formula listed below:
T
T
E
o
j
x
(
y
)
=
p
i
x
(
y
)
(
t
)
-
p
j
x
(
y
)
(
t
)
+
l
v
j
x
(
y
(
t
)
-
v
i
x
(
y
)
(
t
)
wherein, l represents a half of a sum of lengths of the first vehicle and the second vehicle, p x(y) (t) represents location information in a X direction or in a Y direction, v x(y) (t) represents a velocity in the X direction or in the Y direction.
2. The method for monitoring driving behavior risk degree according to claim 1 , wherein the step of determining the risk level based on the remaining collision time duration, the stopping time duration, the escape time duration and the preset risk level probability model comprises steps of:
determining the risk level as the safe state, when the escape time duration is greater than or equal to the remaining collision time duration; or
determining the risk level based on the preset risk level probability model when the escape time duration is less than the remaining collision time duration.
3. The method for monitoring driving behavior risk degree according to claim 1 , wherein when the number of overlapping regions is 2, the step of determining risk degree information of driving behavior based on the number of overlapping regions, the vehicle driving information and the vehicle driving environment information comprises steps of:
determining the remaining collision time duration and the stopping time duration according to the vehicle driving information and the vehicle driving environment information;
determining the risk level based on the remaining collision time duration, the stopping time duration and the preset risk level probability model;
determining the target risk degree monitoring strategy based on the risk level, the remaining collision time duration and the stopping time duration; and
determining the risk degree information of driving behavior based on the target risk degree monitoring strategy.
4. A device for monitoring driving behavior risk degree, comprising: a memory, a processor and computer program stored in the memory and executable by the processor, the processor is configured to, when executing the computer program, implement the method for monitoring driving behavior risk degree according to claim 1 .
5. A computer readable storage medium which stores a computer program, wherein the computer program is configured to, when being executed by a processor, implement the method according to claim 1 .