CN110136465B - Freight monitoring control method and system based on highway automatic driving special lane - Google Patents
Freight monitoring control method and system based on highway automatic driving special lane Download PDFInfo
- Publication number
- CN110136465B CN110136465B CN201910515523.2A CN201910515523A CN110136465B CN 110136465 B CN110136465 B CN 110136465B CN 201910515523 A CN201910515523 A CN 201910515523A CN 110136465 B CN110136465 B CN 110136465B
- Authority
- CN
- China
- Prior art keywords
- vehicle
- driving
- road
- information
- judging whether
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/06—Alarms for ensuring the safety of persons indicating a condition of sleep, e.g. anti-dozing alarms
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096708—Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control
- G08G1/096725—Systems involving transmission of highway information, e.g. weather, speed limits where the received information might be used to generate an automatic action on the vehicle control where the received information generates an automatic action on the vehicle control
Abstract
The invention discloses a freight monitoring control method and a system based on a highway automatic driving lane, which comprises the following steps: judging whether the vehicle meets the road getting-on condition and whether the vehicle is overloaded; if the vehicle meets the road getting-on condition and is not overloaded, starting a manual driving mode, and driving to an automatic driving special road; switching to an automatic driving mode, and starting vehicle-vehicle and vehicle-road communication; acquiring real-time dynamic information of a vehicle, wherein the real-time dynamic information of the vehicle comprises the following steps: vehicle position, vehicle speed, video and voice information in the vehicle; judging whether abnormal driving behaviors occur or not according to the real-time dynamic information of the vehicle; abnormal driving behaviors comprise fatigue driving, overspeed driving and emergencies, wherein the emergencies comprise vehicle faults, sudden diseases of drivers, fire conditions and accidents; and if the abnormal driving behavior occurs, taking corresponding measures. The invention improves the safety, the high efficiency, the emergency processing capability and the remote intelligent monitoring level of the operation of the freight vehicle.
Description
Technical Field
The invention relates to the technical field of intelligent transportation, in particular to a freight monitoring control method and a freight monitoring control system based on an automatic driving lane of a highway.
Background
With the continuous development of the road traffic industry, the number of operating vehicles, in particular freight vehicles, is also rapidly increasing year by year. Meanwhile, major traffic accidents caused by vehicle driving also occur frequently in China. Analysis shows that human factors occupy important components, and abnormal driving behaviors such as overspeed driving and fatigue driving are main causes of traffic accidents.
On one hand, a considerable part of freight enterprises belong to personal small-scale operation management, the law safety awareness is low, and a lot of vehicle owners select ordinary roads free of toll to drive in order to reduce cost, overrun overload and avoid highways in the transportation process. Firstly, the transportation efficiency is low and serious potential safety accidents are caused by over-limit and overload transportation; secondly, heavy goods vehicles cause irreversible damage to ordinary highways, greatly reducing the service life of roads. If the organization management operation mode of the freight enterprises can be changed and the transportation cost is reduced, the safety and the efficiency of the freight transportation can be improved to a certain degree.
On the other hand, as the current freight vehicles are almost all manually driven vehicles, the time of the vehicle enterprises is saved, the drivers often drive for a long time in a long distance, and the informatization technology application degree of the road transportation enterprises and the industry management departments is relatively low, the advanced technical support for analyzing massive dynamic monitoring data generated in the operation process of the road transportation vehicles is lacked, the driving behaviors of the drivers of the operation vehicles are lacked to be effectively mastered in real time and analyzed and applied, so that the intelligentization degree of the safety management work of the transportation enterprises is low, and the pertinence and the effectiveness are lacked.
Disclosure of Invention
Aiming at the defects in the problems, the invention provides a freight monitoring control method and a freight monitoring control system based on an automatic driving lane of a highway.
The invention discloses a freight monitoring control method based on a highway automatic driving lane, which comprises the following steps:
judging whether the vehicle meets the road getting-on condition and whether the vehicle is overloaded;
if the vehicle meets the road getting-on condition and is not overloaded, starting a manual driving mode, and driving to an automatic driving special road; switching to an automatic driving mode, and starting vehicle-vehicle and vehicle-road communication;
acquiring real-time dynamic information of a vehicle, wherein the real-time dynamic information of the vehicle comprises: vehicle position, vehicle speed, video and voice information in the vehicle;
judging whether abnormal driving behaviors occur or not according to the real-time dynamic information of the vehicle; the abnormal driving behaviors comprise fatigue driving, overspeed driving and emergencies, wherein the emergencies comprise vehicle faults, sudden diseases of drivers, fire conditions and accidents;
and if the abnormal driving behavior occurs, taking corresponding measures.
As a further improvement of the present invention, the determining whether the vehicle satisfies the getting-on condition and whether the vehicle is overloaded includes:
acquiring road condition information of an automatic driving special road and vehicle information in a station;
judging whether the vehicle meets the road getting-on condition or not according to the road condition information and the vehicle information;
if the road condition is not met, continuously detecting until the road condition is met;
if the road-climbing condition is met, acquiring vehicle load information;
judging whether the vehicle is overloaded or not according to the vehicle load information;
if the vehicle is overloaded, the running mode of the vehicle is locked, the overweight cargoes are unloaded until the rated weight is met, and the information of the overloaded vehicle is uploaded to a monitoring center for recording.
As a further improvement of the present invention, the method determines whether abnormal driving behavior occurs according to the real-time dynamic information of the vehicle; the method comprises the following steps:
judging whether the vehicle is overspeed or not according to the vehicle speed;
judging whether fatigue driving occurs or not according to the video and voice information in the vehicle;
and judging whether an emergency occurs according to the real-time dynamic information of the vehicle.
As a further improvement of the present invention, if abnormal driving behavior occurs, corresponding measures are taken; the method comprises the following steps:
if the overspeed occurs, warning is given to the driver through vehicle-mounted voice broadcasting, illegal driving of the driver is recorded in a database, and corresponding punishment is given;
if fatigue driving occurs, warning is given to a driver through vehicle-mounted voice broadcasting, the driver is forced to have a rest in a safety zone nearby, and the position of the safety zone is given for the driver to select; recording illegal driving of the driver in a database, and giving corresponding penalties;
if an emergency of vehicle failure occurs, starting a rescue mechanism and reporting to the monitoring center;
if the driver has an emergency of sudden diseases, starting 120 rescue and reporting to the monitoring center;
if the fire accident happens, starting 119 rescue and reporting to the monitoring center;
if the accident happens, starting 110 rescue and reporting to the monitoring center.
As a further improvement of the invention, the method also comprises the following steps:
judging whether the vehicle or the personnel need to be supplied or not according to the real-time dynamic information of the vehicle;
if the vehicle or the personnel need to be supplied, switching to a manual driving mode, and driving to a service area;
if the vehicle or person does not need to be replenished, the autonomous driving mode is maintained.
The invention also discloses a freight monitoring control system based on the highway automatic driving lane, which comprises the following components: the system comprises a vehicle end, a road end, a station center and a monitoring center;
the road end is used for acquiring road condition information of the automatic driving special road;
the station center is used for acquiring vehicle information in the station;
the monitoring center is used for judging whether the vehicle meets the road getting-on condition or not according to the road condition information and the vehicle information;
the vehicle end is used for judging whether the vehicle is overloaded or not, and if the vehicle meets the road getting-on condition and is not overloaded, starting a manual driving mode and driving to an automatic driving special road; switching to an automatic driving mode, and starting vehicle-vehicle and vehicle-road communication;
the vehicle terminal is used for acquiring vehicle real-time dynamic information, and the vehicle real-time dynamic information comprises: vehicle position, vehicle speed, video and voice information in the vehicle;
the vehicle end or the monitoring center is used for judging whether abnormal driving behaviors occur or not according to the real-time dynamic information of the vehicle; the abnormal driving behaviors comprise fatigue driving, overspeed driving and emergencies, wherein the emergencies comprise vehicle faults, sudden diseases of drivers, fire conditions and accidents;
and the monitoring center is used for taking corresponding measures when abnormal driving behaviors occur.
As a further improvement of the present invention, if the route-entering condition is not satisfied, the detection is continued until the route-entering condition is satisfied;
if the vehicle is overloaded, the running mode of the vehicle is locked, the overweight cargoes are unloaded until the rated weight is met, and the information of the overloaded vehicle is uploaded to a monitoring center for recording.
As a further improvement of the present invention, the vehicle end or the monitoring center is configured to:
judging whether the vehicle is overspeed or not according to the vehicle speed;
judging whether fatigue driving occurs or not according to the video and voice information in the vehicle;
and judging whether an emergency occurs according to the real-time dynamic information of the vehicle.
As a further improvement of the present invention, the monitoring center is configured to:
if the overspeed occurs, warning is given to the driver through vehicle-mounted voice broadcasting, illegal driving of the driver is recorded in a database, and corresponding punishment is given;
if fatigue driving occurs, warning is given to a driver through vehicle-mounted voice broadcasting, the driver is forced to have a rest in a safety zone nearby, and the position of the safety zone is given for the driver to select; recording illegal driving of the driver in a database, and giving corresponding penalties;
if an emergency of vehicle failure occurs, starting a rescue mechanism and reporting to the monitoring center;
if the driver has an emergency of sudden diseases, starting 120 rescue and reporting to the monitoring center;
if the fire accident happens, starting 119 rescue and reporting to the monitoring center;
if the accident happens, starting 110 rescue and reporting to the monitoring center.
As a further improvement of the invention, the method also comprises the following steps: a service area control center;
the server control center is used for:
judging whether the vehicle or the personnel need to be supplied or not according to the real-time dynamic information of the vehicle;
if the vehicle or the personnel need to be supplied, switching to a manual driving mode, and driving to a service area;
if the vehicle or person does not need to be replenished, the autonomous driving mode is maintained.
Compared with the prior art, the invention has the beneficial effects that:
the invention combines and applies the technologies of automatic driving technology, vehicle/vehicle road cooperation technology, wireless sensing, high-precision positioning, video image processing, voice recognition, big data application, machine learning and the like to the intelligent monitoring of the freight vehicle, thereby improving the safety, the high efficiency, the emergency processing capability and the remote intelligent monitoring level of the freight vehicle in operation.
Drawings
FIG. 1 is a flow chart of a freight supervision control method according to an embodiment of the present invention;
FIG. 2 is a general architecture diagram of a shipment supervisory control system as disclosed in one embodiment of the present invention;
FIG. 3 is a schematic illustration of a highway including an autopilot lane according to one embodiment of the disclosure;
FIG. 4 is a schematic illustration of an intelligent freight vehicle as disclosed in one embodiment of the present invention;
fig. 5 is a diagram of an organization operation mode of freight supervision control according to an embodiment of the present invention.
In the figure:
A. a common lane; B. automatically driving a dedicated lane; C. a video acquisition processing device; D. a roadside communication device;
1. intelligent weight measuring and detecting equipment; 2. a vehicle driving mode switching button; 3. a one-key alarm system; 4. a voice system; 5. a first on-board wireless communication device; 6. an in-vehicle video monitoring device; 7. a second on-board wireless communication device; 8. a Beidou high-precision positioning device; 9. ETC; 10. intelligent speed sensor.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Based on the following problems existing in the current road transportation industry:
1. the truck is selected to run on a common road for avoiding paying the high-speed fee, and the overload causes irreversible damage to the road, so that the service life of the road is greatly shortened;
2. due to the reasons of imperfect monitoring system, low vehicle intelligent degree and the like, behaviors such as overspeed, fatigue driving of drivers, illegal driving and the like of the vehicle cannot be monitored and stopped in time, and finally major accidents occur, and major losses are caused to the life and property of the country and people;
3. some large trucks for long-distance transportation run on expressways, the cost is increased due to overlarge specific gravity of high-speed fees, and the traditional management operation mode is too old, so that certain impact is brought to enterprise profits.
4. Most of the current freight vehicles are not provided with advanced communication and high-precision positioning devices, so that real-time information sharing between the running vehicle and a control center cannot be realized, and the vehicles lack equipment such as one-key alarm, safety rescue and the like, so that timely monitoring and rescue are difficult to realize once an emergency occurs. And each enterprise can only adopt a non-real-time video monitoring mode to monitor the vehicles, and can only monitor the leaving and arriving of the vehicles in a manual checking and recording mode, so that the running process of the vehicles cannot be monitored in real time and analyzed by historical data records, and the safety, the high efficiency, the environmental protection and the intellectualization of the vehicles in the running process cannot be guaranteed.
The invention provides a freight monitoring control method and a freight monitoring control system based on a highway automatic driving lane, which combine and apply the technologies of automatic driving, vehicle/vehicle road cooperation, wireless sensing, high-precision positioning, video image processing, voice recognition, big data application, machine learning and the like to the intelligent monitoring of freight vehicles; the safety, the high efficiency, the emergency processing capability and the remote intelligent monitoring level of the operation of the freight vehicle are improved.
The invention is described in further detail below with reference to the attached drawing figures:
as shown in fig. 1, the invention provides a freight monitoring control method based on a highway automatic driving lane, all freight vehicles are automatic driving freight vehicles, the conversion between automatic driving and manual driving modes can be realized, and advanced wireless sensing equipment, a wireless communication device, a video acquisition and processing device, a voice acquisition and processing device, a high-precision Beidou positioning device and the like are arranged; the method comprises the following steps:
s1, acquiring road condition information (traffic flow, time and the like) of the automatic driving special road and vehicle information (license plate information, driver information and the like) in the station;
s2, judging whether the vehicles in the station meet the road getting-on condition or not according to the road condition information and the vehicle information;
s3, if the road-climbing condition is met, acquiring vehicle load information; if the road condition is not met, continuously detecting until the road condition is met;
s4, judging whether the vehicle is overloaded or not according to the vehicle load information;
s5, if the vehicle is overloaded, locking the running mode of the vehicle, unloading overweight cargos until the rated weight is met, and uploading the information of the overloaded vehicle to a monitoring center for recording;
s6, if the vehicle is not overloaded, starting a manual driving mode, and driving to an automatic driving special lane; switching to an automatic driving mode, and starting vehicle-vehicle and vehicle-road communication;
s7, acquiring real-time dynamic information of the vehicle, wherein the real-time dynamic information of the vehicle comprises: vehicle position, vehicle speed, video and voice information in the vehicle, vehicle condition information and driver information;
s8, synchronously transmitting the real-time dynamic information of the vehicle to a monitoring center (an enterprise monitoring center and a control center of an industry supervision department), other online operation vehicles in the same area and a service area control center in an operation area;
s9, judging whether abnormal driving behaviors occur or not according to the real-time dynamic information of the vehicle; abnormal driving behaviors comprise fatigue driving, overspeed driving and emergencies, wherein the emergencies comprise vehicle faults, sudden diseases of drivers, fire conditions and accidents; wherein:
the vehicle and the monitoring center are communicated in real time, and the dynamic information of the vehicle running on line is acquired in real time mainly by means of a vehicle-mounted Beidou high-precision positioning device, a speed measuring device, a video image acquisition and processing device, a voice acquisition and processing device and the like; the method adopts big data technology, machine learning algorithm, video image processing technology, voice processing technology and the like to quickly and efficiently identify fatigue driving (mainly aiming at manual driving mode), overspeed driving and emergency in-vehicle accidents of a driver, and realizes real-time reporting of corresponding accidents and abnormal driving behaviors by means of wireless transmission equipment, thereby realizing quick and efficient accident prevention and personnel treatment and improving the safety of vehicle operation. The monitoring center receives real-time dynamic information (mainly comprising emergencies, overspeed driving, fatigue driving and the like of a driver) uploaded by a plurality of online running vehicles, automatically identifies information (mainly comprising vehicle positions, vehicle speeds, vehicle driver information, license plate information and the like) of abnormal vehicles and records the information in a library;
s10, if abnormal driving behaviors occur, corresponding measures are taken; wherein:
if the overspeed occurs, warning is given to the driver through vehicle-mounted voice broadcasting, illegal driving of the driver is recorded in a database, and corresponding punishment is given;
if fatigue driving occurs, warning is given to a driver through vehicle-mounted voice broadcasting, the driver is forced to have a rest in a safety zone nearby, and the position of the safety zone is given for the driver to select; recording illegal driving of the driver in a database, and giving corresponding penalties;
if an emergency of vehicle failure occurs, starting a rescue mechanism and reporting to the monitoring center;
if the driver has an emergency of sudden diseases, starting 120 rescue and reporting to the monitoring center;
if the fire accident happens, starting 119 rescue and reporting to the monitoring center;
if the accident happens, starting 110 rescue and reporting to the monitoring center.
S11, real-time communication is carried out between the service area control center in the operation area and the vehicle, when the vehicle or the driver needs to be replenished, the vehicle or the driver can be informed to the service area control center in advance, the service area is prepared in advance and sends position information to the vehicle, the vehicle is switched from an automatic driving mode to a manual driving mode, and the vehicle drives to the service area for replenishing through high-precision navigation; if neither the vehicle nor the driver needs to be replenished, the vehicle remains in the autonomous driving mode.
As shown in fig. 2, the present invention provides a freight monitoring and controlling system based on a highway automatic driving lane, comprising: the system comprises a vehicle end, a road end, a station center, a monitoring center and a server control center; wherein:
as shown in fig. 3, the road end (highroad) includes a general lane a, an automatic driving lane B, a video capture processing device C, and a roadside communication device D; the common lane A is used for a common manual driving vehicle to run; the automatic driving special lane B is mainly used for driving automatic driving vehicles and special vehicles; the video acquisition and processing device C is used for acquiring illegal behaviors that the common manually-driven vehicle occupies the automatic driving special lane; and the roadside communication equipment D is used for realizing the communication between the automatic driving vehicle and the roadside facility.
As shown in fig. 4, the vehicle end (intelligent freight vehicle) includes an intelligent weight measurement detection device 1, a vehicle driving mode switching button 2, a one-key alarm system 3, a voice system 4, a first vehicle-mounted wireless communication device 5, a vehicle-mounted video monitoring device 6, a second vehicle-mounted wireless communication device 7, a beidou high-precision positioning device 8, an ETC9 and an intelligent speed measurement sensor 10; the intelligent weight measuring and detecting device 1 is used for detecting the weight of the vehicle-mounted cargo and judging whether the vehicle is overloaded or not; a vehicle driving mode switching button 2 for switching between an automatic driving mode and a manual driving mode; the one-key alarm system 3 is used for starting the system to ask for help from a control center when a vehicle is in a fire condition, an accident or a driver has a sudden disease; the voice system 4 is used for the communication between the driver and the monitoring center, and when an emergency occurs, the driver can report the voice in time; the first vehicle-mounted wireless communication equipment 5 is mainly used for realizing real-time communication with an enterprise/industry monitoring center and real-time dynamic information transmission of vehicles; the in-vehicle video monitoring device 6 is used for monitoring the dynamic information in the cab in the running process of the vehicle; the second vehicle-mounted wireless communication device 7 is mainly used for realizing real-time communication with other vehicles and service areas which are in new operation; the Beidou high-precision positioning device 8 is used for recording the position and the running track of the vehicle; the ETC9 is mainly used for automatic payment of vehicles; and the intelligent speed measuring sensor is used for measuring the speed of the vehicle in the running process so as to judge whether the vehicle is overspeed or not.
The invention discloses a method for realizing the freight monitoring control method in figure 1 by mutually communicating a vehicle end, a road end, a station center, a monitoring center and a server control center, which comprises the following steps:
the road end is used for acquiring road condition information (traffic flow, time and the like) of the automatic driving special road;
the station center is used for acquiring vehicle information (license plate information, driver information and the like) in the station;
the monitoring center is used for judging whether the vehicles in the station meet the road-going conditions or not according to the road condition information and the vehicle information; if the road-climbing condition is met, acquiring vehicle load information; if the road condition is not met, continuously detecting until the road condition is met;
the vehicle end is used for judging whether the vehicle is overloaded or not according to the vehicle load information; if the vehicle is overloaded, locking a vehicle running mode, unloading overweight cargos until the rated weight is met, and uploading the information of the overloaded vehicle to a monitoring center for recording; if the vehicle is not overloaded, starting a manual driving mode, and driving to an automatic driving special road; switching to an automatic driving mode, and starting vehicle-vehicle and vehicle-road communication;
the vehicle end is used for obtaining vehicle real-time dynamic information, and the vehicle real-time dynamic information comprises: vehicle position, vehicle speed, video and voice information in the vehicle, vehicle condition information and driver information;
the vehicle end is used for synchronously transmitting the real-time dynamic information of the vehicle to a monitoring center (an enterprise monitoring center and a control center of an industry supervision department), other online operation vehicles in the same area and a service area control center in an operation area;
the vehicle end or the monitoring center is used for judging whether abnormal driving behaviors occur or not according to the real-time dynamic information of the vehicle; abnormal driving behaviors comprise fatigue driving, overspeed driving and emergencies, wherein the emergencies comprise vehicle faults, sudden diseases of drivers, fire conditions and accidents; wherein:
the vehicle and the monitoring center are communicated in real time, and the dynamic information of the vehicle running on line is acquired in real time mainly by means of a vehicle-mounted Beidou high-precision positioning device, a speed measuring device, a video image acquisition and processing device, a voice acquisition and processing device and the like; the method adopts big data technology, machine learning algorithm, video image processing technology, voice processing technology and the like to quickly and efficiently identify fatigue driving (mainly aiming at manual driving mode), overspeed driving and emergency in-vehicle accidents of a driver, and realizes real-time reporting of corresponding accidents and abnormal driving behaviors by means of wireless transmission equipment, thereby realizing quick and efficient accident prevention and personnel treatment and improving the safety of vehicle operation. The monitoring center receives real-time dynamic information (mainly comprising emergencies, overspeed driving, fatigue driving and the like of a driver) uploaded by a plurality of online running vehicles, automatically identifies information (mainly comprising vehicle positions, vehicle speeds, vehicle driver information, license plate information and the like) of abnormal vehicles and records the information in a library;
the monitoring center is used for taking corresponding measures when abnormal driving behaviors occur; wherein:
if the overspeed occurs, warning is given to the driver through vehicle-mounted voice broadcasting, illegal driving of the driver is recorded in a database, and corresponding punishment is given;
if fatigue driving occurs, warning is given to a driver through vehicle-mounted voice broadcasting, the driver is forced to have a rest in a safety zone nearby, and the position of the safety zone is given for the driver to select; recording illegal driving of the driver in a database, and giving corresponding penalties;
if an emergency of vehicle failure occurs, starting a rescue mechanism and reporting to the monitoring center;
if the driver has an emergency of sudden diseases, starting 120 rescue and reporting to the monitoring center;
if the fire accident happens, starting 119 rescue and reporting to the monitoring center;
if the accident happens, starting 110 rescue and reporting to the monitoring center.
The service area control center in the operation area communicates with the vehicle in real time, and is used for informing the service area control center in advance when the vehicle or a driver needs to be replenished, the service area prepares in advance and sends position information to the vehicle, the vehicle is switched from an automatic driving mode to a manual driving mode, and the vehicle drives to the service area for replenishing through high-precision navigation; if neither the vehicle nor the driver needs to be replenished, the vehicle remains in the autonomous driving mode.
As shown in fig. 5, the present invention also provides a novel freight mode based on the highway automatic driving lane, wherein:
for transportation between different areas connected by highways, a novel enterprise model requires that an autonomous freight vehicle must travel in an autonomous driving dedicated lane at highway speeds, but cannot travel on ordinary highways; in addition, if no special condition exists, the freight vehicle is generally required to operate at a specific time interval at night, so that the use efficiency of the road and the transportation efficiency and safety of freight can be greatly improved. Thus, two cases can be distinguished:
firstly, for the operation management of the expressway belonging to the same administrative region or the same enterprise, the expressway enterprise participates in the operation management business of freight vehicles by full resources; or the highway enterprises and the truck transportation enterprises jointly invest to participate in the operation management of the freight vehicles, but the highway enterprises must be stock control units.
Secondly, for the operation management of the expressway belonging to different administrative areas or different enterprises, the expressway enterprises in different areas jointly invest the operation management business of the operation management freight vehicle according to the mileage proportion of the expressway, and only the expressway enterprises participate in the mode; or the highway enterprises in different areas jointly invest the operation management business of the operation management freight vehicles with the truck transportation enterprises in corresponding areas according to the highway mileage proportion, but the highway enterprises must be the stock control units, and the mode can also include the investment participation of the truck transportation enterprises besides the participation of the highway enterprises.
In addition to the two operation management modes, highway enterprises, truck transportation enterprises and other organizations or individuals can participate in joint funding, but the highway enterprises are required to control stock units in any mode.
The two situations respectively comprise three organization operation management modes: the highway enterprise full-investment management, the highway enterprise and the truck transport enterprise common-investment management, and the highway enterprise, the truck transport enterprise and other enterprises common-investment management. The modes require the highway enterprises to be the stock control units, so that the capital investment of the freight enterprises on highway toll fee can be saved to a great extent, and if no special condition exists, the freight vehicles are generally required to operate at night, so that the use efficiency of roads and the transportation efficiency and safety of freight can be greatly improved.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (4)
1. A freight supervision control method based on a highway automatic driving dedicated lane is characterized by comprising the following steps:
judging whether the vehicle meets the road getting-on condition and whether the vehicle is overloaded;
if the vehicle meets the road getting-on condition and is not overloaded, starting a manual driving mode, and driving to an automatic driving special road; switching to an automatic driving mode, and starting vehicle-vehicle and vehicle-road communication;
acquiring real-time dynamic information of a vehicle, wherein the real-time dynamic information of the vehicle comprises: vehicle position, vehicle speed, video and voice information in the vehicle;
judging whether abnormal driving behaviors occur or not according to the real-time dynamic information of the vehicle; the abnormal driving behaviors comprise fatigue driving, overspeed driving and emergencies, wherein the emergencies comprise vehicle faults, sudden diseases of drivers, fire conditions and accidents;
if abnormal driving behaviors occur, corresponding measures are taken;
the judging whether the vehicle meets the road getting-on condition and whether the vehicle is overloaded comprises the following steps:
acquiring road condition information of an automatic driving special road and vehicle information in a station;
judging whether the vehicle meets the road getting-on condition or not according to the road condition information and the vehicle information;
if the road condition is not met, continuously detecting until the road condition is met;
if the road-climbing condition is met, acquiring vehicle load information;
judging whether the vehicle is overloaded or not according to the vehicle load information;
if the vehicle is overloaded, locking a vehicle running mode, unloading overweight cargos until the rated weight is met, and uploading the information of the overloaded vehicle to a monitoring center for recording;
judging whether abnormal driving behaviors occur or not according to the real-time dynamic information of the vehicle; the method comprises the following steps:
judging whether the vehicle is overspeed or not according to the vehicle speed;
judging whether fatigue driving occurs or not according to the video and voice information in the vehicle;
judging whether an emergency occurs according to the real-time dynamic information of the vehicle;
further comprising:
judging whether the vehicle or the personnel need to be supplied or not according to the real-time dynamic information of the vehicle;
if the vehicle or the personnel need to be supplied, switching to a manual driving mode, and driving to a service area;
if the vehicle or person does not need to be replenished, the autonomous driving mode is maintained.
2. The supervisory freight transportation control method according to claim 1, wherein if abnormal driving behavior occurs, corresponding measures are taken; the method comprises the following steps:
if the overspeed occurs, warning is given to the driver through vehicle-mounted voice broadcasting, illegal driving of the driver is recorded in a database, and corresponding punishment is given;
if fatigue driving occurs, warning is given to a driver through vehicle-mounted voice broadcasting, the driver is forced to have a rest in a safety zone nearby, and the position of the safety zone is given for the driver to select; recording illegal driving of the driver in a database, and giving corresponding penalties;
if an emergency of vehicle failure occurs, starting a rescue mechanism and reporting to the monitoring center;
if the driver has an emergency of sudden diseases, starting 120 rescue and reporting to the monitoring center;
if the fire accident happens, starting 119 rescue and reporting to the monitoring center;
if the accident happens, starting 110 rescue and reporting to the monitoring center.
3. A freight transportation supervisory control system based on highway automatic driving lane is characterized by comprising: the system comprises a vehicle end, a road end, a station center and a monitoring center;
the road end is used for acquiring road condition information of the automatic driving special road;
the station center is used for acquiring vehicle information in the station;
the monitoring center is used for judging whether the vehicle meets the road getting-on condition or not according to the road condition information and the vehicle information;
the vehicle end is used for judging whether the vehicle is overloaded or not, and if the vehicle meets the road getting-on condition and is not overloaded, starting a manual driving mode and driving to an automatic driving special road; switching to an automatic driving mode, and starting vehicle-vehicle and vehicle-road communication;
the vehicle terminal is used for acquiring vehicle real-time dynamic information, and the vehicle real-time dynamic information comprises: vehicle position, vehicle speed, video and voice information in the vehicle;
the vehicle end or the monitoring center is used for judging whether abnormal driving behaviors occur or not according to the real-time dynamic information of the vehicle; the abnormal driving behaviors comprise fatigue driving, overspeed driving and emergencies, wherein the emergencies comprise vehicle faults, sudden diseases of drivers, fire conditions and accidents;
the monitoring center is used for taking corresponding measures when abnormal driving behaviors occur;
if the road condition is not met, continuously detecting until the road condition is met;
if the vehicle is overloaded, locking a vehicle running mode, unloading overweight cargos until the rated weight is met, and uploading the information of the overloaded vehicle to a monitoring center for recording;
the vehicle terminal or the monitoring center is used for:
judging whether the vehicle is overspeed or not according to the vehicle speed;
judging whether fatigue driving occurs or not according to the video and voice information in the vehicle;
judging whether an emergency occurs according to the real-time dynamic information of the vehicle;
further comprising: a server control center;
the server control center is used for:
judging whether the vehicle or the personnel need to be supplied or not according to the real-time dynamic information of the vehicle;
if the vehicle or the personnel need to be supplied, switching to a manual driving mode, and driving to a service area;
if the vehicle or person does not need to be replenished, the autonomous driving mode is maintained.
4. A shipment supervisory control system according to claim 3, wherein the monitoring centre is operable to:
if the overspeed occurs, warning is given to the driver through vehicle-mounted voice broadcasting, illegal driving of the driver is recorded in a database, and corresponding punishment is given;
if fatigue driving occurs, warning is given to a driver through vehicle-mounted voice broadcasting, the driver is forced to have a rest in a safety zone nearby, and the position of the safety zone is given for the driver to select; recording illegal driving of the driver in a database, and giving corresponding penalties;
if an emergency of vehicle failure occurs, starting a rescue mechanism and reporting to the monitoring center;
if the driver has an emergency of sudden diseases, starting 120 rescue and reporting to the monitoring center;
if the fire accident happens, starting 119 rescue and reporting to the monitoring center;
if the accident happens, starting 110 rescue and reporting to the monitoring center.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910515523.2A CN110136465B (en) | 2019-06-14 | 2019-06-14 | Freight monitoring control method and system based on highway automatic driving special lane |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910515523.2A CN110136465B (en) | 2019-06-14 | 2019-06-14 | Freight monitoring control method and system based on highway automatic driving special lane |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110136465A CN110136465A (en) | 2019-08-16 |
| CN110136465B true CN110136465B (en) | 2021-06-15 |
Family
ID=67577245
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910515523.2A Active CN110136465B (en) | 2019-06-14 | 2019-06-14 | Freight monitoring control method and system based on highway automatic driving special lane |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110136465B (en) |
Families Citing this family (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114365159B (en) * | 2019-09-04 | 2024-04-12 | 北京图森智途科技有限公司 | Junction service area demand solving system and method |
| CN111340419B (en) * | 2020-02-18 | 2023-07-11 | 上海东普信息科技有限公司 | Logistics online monitoring method, device, system, equipment and storage medium |
| CN111522338A (en) * | 2020-04-13 | 2020-08-11 | 吉利汽车研究院（宁波）有限公司 | Vehicle-road cooperative control method, vehicle-road cooperative system and automatic driving device |
| CN113192349B (en) * | 2021-04-16 | 2023-12-12 | 刘本林 | Off-vehicle driving system and method for road vehicle |
| CN113515074A (en) * | 2021-08-25 | 2021-10-19 | 江苏十野物流有限公司 | Remote monitoring device and method for logistics transportation |
| CN114095898A (en) * | 2021-11-04 | 2022-02-25 | 武汉极目智能技术有限公司 | Interaction method and system based on Internet of vehicles operation control center |
| CN114360258B (en) * | 2022-01-08 | 2022-11-15 | 中通服建设有限公司 | Application method of cloud technology in overload control system |
| CN115620542B (en) * | 2022-09-23 | 2023-11-07 | 交通运输部公路科学研究所 | Method and device for managing and controlling dynamic automatic driving special road based on vehicle-road cooperation |
| CN116386368B (en) * | 2023-03-31 | 2024-03-26 | 东南大学 | Expressway-oriented automatic driving special lane and setting method |
| CN116416806A (en) * | 2023-06-12 | 2023-07-11 | 天津市政工程设计研究总院有限公司 | Intelligent network allies oneself with autopilot freight transportation lane control system |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102514489A (en) * | 2011-12-16 | 2012-06-27 | 张翔宇 | Automotive display controller for avoiding traffic accidents due to overload of passengers |
| US10099637B1 (en) * | 2017-10-09 | 2018-10-16 | Denso International America, Inc. | System and method for dynamic vehicle customization and tuning |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101799977B (en) * | 2009-12-31 | 2014-06-18 | 马正方 | Intelligent traffic system |
| CN102496274B (en) * | 2011-11-25 | 2014-04-16 | 大连海创高科信息技术有限公司 | Intelligent monitoring terminal for passenger and cargo vehicles |
| US9085262B2 (en) * | 2012-10-08 | 2015-07-21 | Microsoft Technology Licensing, Llc | Tinting indication of environmental conditions |
| CN103778779B (en) * | 2014-01-08 | 2016-06-29 | 华迪计算机集团有限公司 | The management system of hazardous materials transportation vehicle |
| CN107700293A (en) * | 2017-08-31 | 2018-02-16 | 金勇� | Automatic running transit system |
| CN109493588A (en) * | 2018-11-22 | 2019-03-19 | 交通运输部公路科学研究所 | A kind of the bus or train route cooperative control system and method for novel intelligent customization public transport |
| CN109664821B (en) * | 2019-02-14 | 2023-04-07 | 宁夏聚安星信息服务有限公司 | Vehicle-mounted monitoring device and method for preventing fatigue and overspeed based on voice intervention |
-
2019
- 2019-06-14 CN CN201910515523.2A patent/CN110136465B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102514489A (en) * | 2011-12-16 | 2012-06-27 | 张翔宇 | Automotive display controller for avoiding traffic accidents due to overload of passengers |
| US10099637B1 (en) * | 2017-10-09 | 2018-10-16 | Denso International America, Inc. | System and method for dynamic vehicle customization and tuning |
Non-Patent Citations (2)
| Title |
|---|
| Microcontroller Based Autonomous Vehicle Control;N.Ilangovan 等;《2014 IEEE International Conference on Advanced Communication Control and Computing Technologies (ICACCCT)》;20150126;第1027-1031页 * |
| 浅议车联网与智慧交通的应用——以多车协同巡航为例;李晓栋 等;《物流工程与管理》;20180430;第40卷(第4期);第70-73页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110136465A (en) | 2019-08-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110136465B (en) | Freight monitoring control method and system based on highway automatic driving special lane | |
| US20240092299A1 (en) | Event-based connected vehicle control and response systems | |
| US11322018B2 (en) | Determining causation of traffic events and encouraging good driving behavior | |
| CN109228863A (en) | Two visitor of one kind, one danger active safety Intelligent preventive control system | |
| JP2006327551A (en) | Vehicle operation management system, vehicle using the system, and track abnormality diagnostic method | |
| CN105719474A (en) | Intelligent vehicle management service platform | |
| CN105046766A (en) | Freight vehicle traveling safety monitoring system and method | |
| CN111401622A (en) | Logistics path configuration method and system | |
| CN114550327B (en) | Single-person multi-lane situation awareness centralized control system and method | |
| CN107516178A (en) | Complete vehicle logistics management method | |
| CN113984082B (en) | Parking lot vehicle inspection management system based on big data | |
| CN204883872U (en) | Goods stock safety monitoring system that traveles | |
| CN111428976A (en) | Safe operation working method of public transportation system | |
| CN110807929A (en) | Traffic police auxiliary command information analysis and research and judgment system | |
| CN111063058A (en) | Control method and system for intelligent monitoring of passenger flow of road passenger transport | |
| US11887484B2 (en) | Safety system configured to determine when a vehicle has made an unwanted stop | |
| KR102312695B1 (en) | Integrated management system for commercial vehicles | |
| CN105843128A (en) | Mobile phone application system applied to smart environmental sanitation system | |
| CN115273474B (en) | RPA patrols and examines robot and patrols and examines management system based on artificial intelligence | |
| CN114724356B (en) | GIS expressway accident early warning method and system based on meteorological data integration | |
| WO2015060805A1 (en) | A system for processing data obtained from black boxes | |
| CN113139494A (en) | Dangerous chemical substance vehicle tunnel-passing tracking identification and automatic warning system | |
| CN114267162A (en) | Intelligent vehicle-mounted monitoring and early-warning system based on freight car driving safety | |
| CN211044283U (en) | Operation supervision system for transportation enterprises | |
| CN110853336A (en) | Commercial concrete vehicle flow direction control scheme based on vehicle-mounted weighing technology |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |