CN115649172A - Vehicle traffic intersection information screening method based on Internet of vehicles - Google Patents

Vehicle traffic intersection information screening method based on Internet of vehicles Download PDF

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Publication number
CN115649172A
CN115649172A CN202211402931.5A CN202211402931A CN115649172A CN 115649172 A CN115649172 A CN 115649172A CN 202211402931 A CN202211402931 A CN 202211402931A CN 115649172 A CN115649172 A CN 115649172A
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vehicle
data
road
lane
driving
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CN202211402931.5A
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Chinese (zh)
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关宁
郑佳
朱陈伟
束照坤
杨光
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Anhui Jianghuai Automobile Group Corp
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Anhui Jianghuai Automobile Group Corp
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Priority to CN202211402931.5A priority Critical patent/CN115649172A/en
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Abstract

The invention provides a vehicle traffic intersection information screening method based on Internet of vehicles, which comprises the following steps: the method comprises the following steps that a V2X vehicle-mounted terminal OBU is arranged on a vehicle, and the OBU is respectively connected with a vehicle control module BCM, an instrument and a navigation module of the vehicle through a CAN bus; the OBU acquires driving data of the vehicle through the BCM, and the OBU acquires positioning data of the vehicle through the navigation module; the OBU is in communication connection with the RSU through LTE-V so as to acquire road data of a traffic intersection in front of a vehicle; and the OBU screens out the intersection information in front of the current vehicle according to the driving data, the positioning data and the road data, and feeds back the intersection information to the driver through the instrument. The invention can improve the accuracy of the pre-judgment of the driver and the safety of the vehicle running.

Description

Vehicle traffic intersection information screening method based on Internet of vehicles
Technical Field
The invention relates to the technical field of vehicle intelligent traffic, in particular to a vehicle traffic intersection information screening method based on the Internet of vehicles.
Background
With the development of automobile intellectualization, more and more automobile enterprises develop intelligent driving, vehicles carry out intelligent driving by judging the driving intention of a driver, but when the number of lanes in a white-solid part of a road junction is more than that of lanes in a dotted part of the road junction, the fact that the vehicle does not enter a solid part of the lane cannot be used for judging the driving intention of the driver in advance, and the problem that intersection information cannot be accurately given exists. The current scheme is that when reaching the communication range of the intersection, the vehicle presents all information of the front intersection to the driver, the information comprises traffic lights and countdown information of all lanes, and the vehicle speed range guided by the green wave vehicle speed of all lanes, regardless of the driving intention of the driver. However, this non-screening of intersection information is provided to the driver, which may cause driving disturbance. Therefore, how to accurately screen the traffic intersection information and prejudge the driving intention of the driver so as to provide the information according with the driving intention has important significance.
Disclosure of Invention
The invention provides a vehicle traffic intersection information screening method based on the Internet of vehicles, which solves the problem that the prior vehicle receives too much interference information at a traffic intersection and is easy to cause driving interference to a driver, and can improve the prejudgment accuracy of the driver and the driving safety of the vehicle.
In order to realize the purpose, the invention provides the following technical scheme:
a vehicle traffic intersection information screening method based on Internet of vehicles comprises the following steps:
the method comprises the following steps that a V2X vehicle-mounted terminal OBU is arranged on a vehicle, and the OBU is respectively connected with a vehicle control unit BCM, an instrument and a navigation module of the vehicle through a CAN bus;
the OBU acquires driving data of the vehicle through the BCM, and the OBU acquires positioning data of the vehicle through the navigation module;
the OBU is in communication connection with the RSU through LTE-V so as to acquire road data of a traffic intersection in front of a vehicle;
and the OBU screens out the intersection information in front of the current vehicle according to the driving data, the positioning data and the road data, and feeds back the intersection information to the driver through the instrument.
Preferably, the method further comprises the following steps:
after the OBU acquires the front intersection information, judging whether a lane where the vehicle is located is in a real-line area, if so, acquiring traffic light information corresponding to the lane, and calculating a guiding vehicle speed;
if not, judging the driving intention of the driver according to the driving data, the positioning data and the road data so as to determine the straight running, the left turning or the right turning of the vehicle.
Preferably, the determining the driving intention of the driver according to the driving data, the positioning data and the road data includes:
judging whether the distance between the vehicle and the stop line is less than 300 m, if so, acquiring the road connection relation of a driving lane of the vehicle;
and judging whether the road connection relation corresponding to the lane is in a one-to-many relation or not, and if not, judging the driving intention of the driver according to the driving data.
Preferably, the determining the driving intention of the driver according to the driving data, the positioning data and the road data further includes:
and when the road connection relation corresponding to the lane is in a one-to-many relation, judging whether the road connection relation not in straight running is included, if not, acquiring traffic light information corresponding to the lane, and calculating the guiding vehicle speed.
Preferably, the determining the driving intention of the driver according to the driving data, the positioning data and the road data further includes:
when the road connection relation corresponding to the lane contains a non-straight road relation, judging whether a left-turn road relation is contained;
if yes, whether a left steering lamp of the vehicle is turned on or not is judged, if yes, traffic light information corresponding to a left turning lane is obtained, the guiding vehicle speed is calculated, and otherwise, traffic light information corresponding to a right turning lane and a straight lane is obtained, and traffic light countdown display is carried out.
Preferably, the determining the driving intention of the driver according to the driving data, the positioning data and the road data further comprises:
and when the road connection relation corresponding to the lane does not contain the left-turn road relation, judging whether a right-turn light of the vehicle is turned on, if so, acquiring traffic light information corresponding to the right-turn lane, calculating the guiding vehicle speed, otherwise, acquiring the traffic light information corresponding to the right-turn lane and the straight lane, and performing countdown display of the traffic light.
Preferably, the method further comprises the following steps:
judging whether a guiding vehicle speed exists or not, and if not, carrying out voice reminding on the red light risk through the instrument;
if yes, judging whether the current vehicle speed is in the range of the guided vehicle speed, and if not, carrying out voice deceleration or acceleration reminding through the instrument.
Preferably, the navigation module at least comprises any one of the following: GPS module, big dipper module and GNSS module.
Preferably, the driving data includes: the light states of a left turn light and a right turn light of the vehicle;
the road data includes: map of the intersection and intersection traffic light information.
The invention provides a vehicle traffic intersection information screening method based on the Internet of vehicles, which is characterized in that a V2X vehicle-mounted terminal OBU is arranged to collect driving data, positioning data and road data of a vehicle, screen out current intersection information in front of the vehicle, and feed back the information to a driver through an instrument.
Drawings
In order to more clearly describe the specific embodiments of the present invention, the drawings to be used in the embodiments will be briefly described below.
Fig. 1 is a schematic diagram of a vehicle traffic intersection information screening method based on the internet of vehicles according to the present invention.
Fig. 2 is a schematic diagram of a communication system for vehicle-road coordination provided by the present invention.
Fig. 3 is a schematic diagram of intersection information screening logic provided in the embodiment of the present invention.
Detailed Description
In order to make the technical field of the invention better understand the scheme of the embodiment of the invention, the embodiment of the invention is further described in detail with reference to the drawings and the implementation mode.
The invention provides a vehicle traffic intersection information screening method based on an internet of vehicles, aiming at the problem that the received interference information is too much and the driving interference is easily caused when the current vehicle intelligently runs, solving the problem that the interference information received by the current vehicle at the traffic intersection is too much and the driving interference is easily caused to the driver, and improving the prejudging accuracy of the driver and the safety of the vehicle running.
As shown in fig. 1, a vehicle traffic intersection information screening method based on internet of vehicles includes:
s1: the method comprises the following steps that a V2X vehicle-mounted terminal OBU is arranged on a vehicle, and the OBU is respectively connected with a vehicle control module BCM, an instrument and a navigation module of the vehicle through a CAN bus;
s2: the OBU acquires driving data of the vehicle through the BCM, and the OBU acquires positioning data of the vehicle through the navigation module;
s3: the OBU is connected with the RSU through LTE-V communication so as to acquire road data of a traffic intersection in front of a vehicle;
s4: and the OBU screens out the intersection information in front of the current vehicle according to the driving data, the positioning data and the road data, and feeds back the intersection information to the driver through the instrument.
Specifically, as shown in fig. 2, the Vehicle-to-Vehicle cooperation system is also called V2X (Vehicle to observing), which forms an internet of vehicles by a Vehicle-mounted OBU and an RSU installed at a roadside, and mainly implements communication between the OBU and the RSU by an LTE-V communication technology, so that the OBU can obtain driving road information of a crossing ahead of the OBU, including map information and traffic light information. The V2X vehicle-mounted terminal OBU obtains positioning information of a vehicle in real time through the navigation module and communicates with the RSU on the road side through the LTE-V module to obtain intersection maps and traffic light information. BCM CAN obtain the current light state of the vehicle, informs OBU through CAN bus, screens out the best front intersection information prompt for the current driving after the OBU synthesizes the driving state and road data, and feeds back the driver through instrument ICM. According to the method, the information of the map and the signal lamps of the front intersection during driving is acquired by using the vehicle-road cooperation system, and the information of different driving stages is screened in combination with the state of the own vehicle, so that the prompt information which is more appropriate at the current stage is provided, the computational power of a chip is saved, and the driving experience of a driver is improved. The problem that the existing vehicle is easy to cause driving interference to a driver due to excessive interference information received at a traffic intersection can be solved, and the prejudgment accuracy of the driver and the driving safety of the vehicle can be improved.
As shown in fig. 3, the method further comprises:
and after the OBU acquires the information of the front intersection, judging whether the lane where the vehicle is located is in a solid line area, if so, acquiring traffic light information corresponding to the lane, and calculating the guiding speed.
If not, judging the driving intention of the driver according to the driving data, the positioning data and the road data so as to determine the straight running, the left turning or the right turning of the vehicle.
Further, the determining the driving intention of the driver according to the driving data, the positioning data and the road data includes:
judging whether the distance between the vehicle and the stop line is less than 300 m, if so, acquiring the road connection relation of a driving lane of the vehicle;
and judging whether the road connection relation corresponding to the lane is in a one-to-many relation or not, and if not, judging the driving intention of the driver according to the driving data.
Further, the determining the driving intention of the driver according to the driving data, the positioning data and the road data further comprises:
and when the road connection relation corresponding to the lane is in a one-to-many relation, judging whether the road connection relation which is not straight is included, if not, acquiring traffic light information corresponding to the lane, and calculating the guiding vehicle speed.
Further, the determining the driving intention of the driver according to the driving data, the positioning data and the road data further comprises:
when the road connection relation corresponding to the lane contains a non-straight road relation, judging whether a left-turning road relation is contained;
if yes, judging whether a left steering lamp of the vehicle is turned on, if yes, obtaining traffic light information corresponding to a left-turning lane, calculating the guiding vehicle speed, otherwise, obtaining traffic light information corresponding to a right-turning lane and a straight-through lane, and performing traffic light countdown display.
Further, the determining the driving intention of the driver according to the driving data, the positioning data and the road data further comprises:
and when the road connection relation corresponding to the lane does not contain the left-turning road relation, judging whether a right-turning light of the vehicle is turned on, if so, acquiring traffic light information corresponding to the right-turning lane, calculating the guiding vehicle speed, and if not, acquiring the traffic light information corresponding to the right-turning lane and the straight-through lane, and performing countdown display of the traffic light.
The method further comprises the following steps:
judging whether a guiding vehicle speed exists or not, and if not, carrying out voice reminding on the red light risk through the instrument;
if yes, judging whether the current vehicle speed is in the range of the guided vehicle speed, and if not, carrying out voice deceleration or acceleration reminding through the instrument.
Further, the navigation module at least comprises any one of the following: GPS module, big dipper module and GNSS module.
Further, the driving data includes: the light state of a left turn light and a right turn light of the vehicle; the road data includes: map of the intersection and intersection traffic light information.
The invention provides a vehicle traffic intersection information screening method based on the internet of vehicles, which is characterized in that a V2X vehicle-mounted terminal OBU is arranged to collect driving data, positioning data and road data of a vehicle, screen out intersection information in front of the current vehicle and feed back the intersection information to a driver through an instrument.
The construction, features and functions of the present invention have been described in detail with reference to the embodiments shown in the drawings, but the present invention is not limited to the embodiments shown in the drawings, and all equivalent embodiments modified or modified by the spirit and scope of the present invention should be protected without departing from the spirit of the present invention.

Claims (9)

1. A vehicle traffic intersection information screening method based on the Internet of vehicles is characterized by comprising the following steps:
the method comprises the following steps that a V2X vehicle-mounted terminal OBU is arranged on a vehicle, and the OBU is respectively connected with a vehicle control unit BCM, an instrument and a navigation module of the vehicle through a CAN bus;
the OBU acquires driving data of the vehicle through the BCM, and the OBU acquires positioning data of the vehicle through the navigation module;
the OBU is in communication connection with the RSU through LTE-V so as to acquire road data of a traffic intersection in front of a vehicle;
and the OBU screens out the intersection information in front of the current vehicle according to the driving data, the positioning data and the road data, and feeds back the intersection information to the driver through the instrument.
2. The vehicle traffic intersection information screening method based on the internet of vehicles according to claim 1, further comprising:
after the OBU acquires the front intersection information, judging whether a lane where the vehicle is located is in a real-line area, if so, acquiring traffic light information corresponding to the lane, and calculating a guiding vehicle speed;
if not, judging the driving intention of the driver according to the driving data, the positioning data and the road data so as to determine the straight running, the left turning or the right turning of the vehicle.
3. The vehicle traffic intersection information screening method based on the internet of vehicles according to claim 2, wherein the determining the driving intention of the driver according to the driving data, the positioning data and the road data comprises:
judging whether the distance between the vehicle and the stop line is less than 300 m, if so, acquiring the road connection relation of a driving lane of the vehicle;
and judging whether the road connection relation corresponding to the lane is in a one-to-many relation or not, and if not, judging the driving intention of the driver according to the driving data.
4. The vehicle traffic intersection information screening method based on the internet of vehicles according to claim 3, wherein the determining of the driving intention of the driver according to the driving data, the positioning data and the road data further comprises:
and when the road connection relation corresponding to the lane is in a one-to-many relation, judging whether the road connection relation not in straight running is included, if not, acquiring traffic light information corresponding to the lane, and calculating the guiding vehicle speed.
5. The vehicle traffic intersection information screening method based on the internet of vehicles according to claim 4, wherein the determining the driving intention of the driver according to the driving data, the positioning data and the road data further comprises:
when the road connection relation corresponding to the lane contains a non-straight road relation, judging whether a left-turn road relation is contained;
if yes, whether a left steering lamp of the vehicle is turned on or not is judged, if yes, traffic light information corresponding to a left turning lane is obtained, the guiding vehicle speed is calculated, and otherwise, traffic light information corresponding to a right turning lane and a straight lane is obtained, and traffic light countdown display is carried out.
6. The vehicle traffic intersection information screening method based on the internet of vehicles according to claim 5, wherein the determining the driving intention of the driver according to the driving data, the positioning data and the road data further comprises:
and when the road connection relation corresponding to the lane does not contain the left-turning road relation, judging whether a right-turning light of the vehicle is turned on, if so, acquiring traffic light information corresponding to the right-turning lane, calculating the guiding vehicle speed, and if not, acquiring the traffic light information corresponding to the right-turning lane and the straight-through lane, and performing countdown display of the traffic light.
7. The vehicle traffic intersection information screening method based on the internet of vehicles according to claim 6, further comprising:
judging whether a guide vehicle speed exists or not, and if not, carrying out voice reminding on the red light risk through the instrument;
if yes, judging whether the current vehicle speed is in the guiding vehicle speed range, and if not, carrying out voice deceleration or acceleration reminding through the instrument.
8. The vehicle networking based vehicle traffic intersection information screening method according to any one of claims 1 to 7, wherein the navigation module at least comprises any one of the following: GPS module, big dipper module and GNSS module.
9. The vehicle traffic intersection information screening method based on the internet of vehicles according to claim 8, wherein the driving data comprises: the light states of a left turn light and a right turn light of the vehicle;
the road data includes: map of the intersection and intersection traffic light information.
CN202211402931.5A 2022-11-09 2022-11-09 Vehicle traffic intersection information screening method based on Internet of vehicles Pending CN115649172A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116824895A (en) * 2023-08-29 2023-09-29 成都通广网联科技有限公司 Network connection system and method for controlling automatic driving vehicle to enter intersection waiting area

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116824895A (en) * 2023-08-29 2023-09-29 成都通广网联科技有限公司 Network connection system and method for controlling automatic driving vehicle to enter intersection waiting area

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