CN113781776A - Mountain construction sidewalk driving scheduling method and device - Google Patents
Mountain construction sidewalk driving scheduling method and device Download PDFInfo
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- CN113781776A CN113781776A CN202110964692.1A CN202110964692A CN113781776A CN 113781776 A CN113781776 A CN 113781776A CN 202110964692 A CN202110964692 A CN 202110964692A CN 113781776 A CN113781776 A CN 113781776A
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- 238000010276 construction Methods 0.000 title claims abstract description 45
- 238000000034 method Methods 0.000 title claims abstract description 37
- 238000012544 monitoring process Methods 0.000 claims abstract description 59
- 239000011435 rock Substances 0.000 claims description 10
- 230000001133 acceleration Effects 0.000 claims description 8
- 230000006399 behavior Effects 0.000 description 31
- 230000002159 abnormal effect Effects 0.000 description 6
- 241001282135 Poromitra oscitans Species 0.000 description 4
- 206010048232 Yawning Diseases 0.000 description 4
- 238000013473 artificial intelligence Methods 0.000 description 4
- 230000000391 smoking effect Effects 0.000 description 4
- -1 collapse Substances 0.000 description 2
- 239000012141 concentrate Substances 0.000 description 2
- 238000013135 deep learning Methods 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000004399 eye closure Effects 0.000 description 2
- 230000001815 facial effect Effects 0.000 description 2
- 230000007774 longterm Effects 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 230000003340 mental effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
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- 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
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/091—Traffic information broadcasting
-
- 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
-
- 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
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
- G08G1/096855—Systems involving transmission of navigation instructions to the vehicle where the output is provided in a suitable form to the driver
- G08G1/096872—Systems involving transmission of navigation instructions to the vehicle where the output is provided in a suitable form to the driver where instructions are given per voice
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/16—Anti-collision systems
Abstract
The application relates to a method and a device for dispatching vehicles on a construction sidewalk in a mountainous area, which relate to the technical field of vehicle dispatching and comprise the following steps: monitoring the running state of the vehicle on the target road to obtain the running state of the vehicle; monitoring the driving behavior of a driver of the vehicle to obtain the behavior state of the driver; monitoring a target road to obtain a road state; and generating a corresponding driving scheduling instruction according to the driving state of the vehicle, the behavior information of the driver and the road state by combining the positioning information of the vehicle and the geographic information of the target road. The method monitors vehicles, drivers and roads, positions the vehicles in real time, and dispatches the vehicles according to monitoring conditions, so that the driving conditions of the vehicles on the roads are reasonably planned on the premise of ensuring the driving safety and cost control, and the construction requirements of mountainous areas are met.
Description
Technical Field
The application relates to the technical field of vehicle scheduling, in particular to a method and a device for scheduling driving of a construction sidewalk in a mountainous area.
Background
The construction of large railway bridges is mostly in remote mountainous areas, and the road environment is severe. The mountain road is winding and rugged, and has transverse cliff, especially on a high-fall mountain road, the vehicle posture also seriously influences the driving safety, and safety accidents can happen carelessly, so that the loss is difficult to estimate.
Meanwhile, as the roads in the mountainous area are narrow, part of the roads can only drive in one direction, if two vehicles meet each other, one vehicle needs to back and enter the wrong vehicle platform, and the other vehicle needs to pass through in advance, so that the passing efficiency is greatly influenced, and the vehicle risk is greatly increased.
The traditional solution is hardware measures such as widening a wrong vehicle platform, consolidating a road bed, adding a safety pile, adding a convex mirror at a corner and the like, can play a certain safety protection, but does not essentially solve the safety problems in passing, meeting and backing.
Based on the technical problems, the technology for dispatching the traffic of the construction sidewalk in the mountainous area is provided so as to meet the dispatching requirement of the current mountainous area road.
Disclosure of Invention
The application provides a method and a device for traffic scheduling of a construction sidewalk in a mountainous area, which are used for monitoring vehicles, drivers and roads, positioning the vehicles in real time, and scheduling the vehicles according to monitoring conditions, so that the driving conditions of the vehicles on the roads are reasonably planned on the premise of ensuring the driving safety and cost control, and the construction requirements of the mountainous area are met.
In a first aspect, the application provides a method for scheduling driving on a sidewalk in mountain construction, which comprises the following steps:
monitoring the running state of the vehicle on the target road to obtain the running state of the vehicle;
monitoring the driving behavior of a driver of the vehicle to obtain the behavior state of the driver;
monitoring the target road to obtain a road state;
and generating a corresponding driving scheduling instruction according to the driving state of the vehicle, the driver behavior information and the road state by combining the positioning information of the vehicle and the geographic information of the target road.
The method monitors vehicles, drivers and roads, positions the vehicles in real time, and dispatches the vehicles according to monitoring conditions, so that the driving conditions of the vehicles on the roads are reasonably planned on the premise of ensuring the driving safety and cost control, and the construction requirements of mountainous areas are met.
Specifically, the vehicle running state comprises a vehicle overspeed state, a vehicle sudden braking state, a vehicle sudden acceleration state and a vehicle sudden turning state.
Specifically, the behavior state of the driver includes fatigue driving and inattention.
Specifically, the road state includes road congestion, falling rocks or landslide.
Further, the method comprises the following steps:
and forwarding to the corresponding vehicle according to the received voice scheduling instruction.
In a second aspect, the present application provides a mountain area construction access road driving scheduling device, the device includes:
the vehicle monitoring module is used for monitoring the running state of the vehicle on the target road to obtain the running state of the vehicle;
the driver monitoring module is used for monitoring the driving behavior of a driver of the vehicle to obtain the behavior state of the driver;
the road monitoring module is used for monitoring the target road to obtain a road state;
and the driving scheduling module is used for generating a corresponding driving scheduling instruction according to the driving state of the vehicle, the driver behavior information and the road state and by combining the positioning information of the vehicle and the geographic information of the target road.
Specifically, the vehicle running state comprises a vehicle overspeed state, a vehicle sudden braking state, a vehicle sudden acceleration state and a vehicle sudden turning state.
Specifically, the behavior state of the driver includes fatigue driving and inattention.
Specifically, the road state includes road congestion, falling rocks or landslide.
Further, the apparatus further comprises:
and the instruction broadcasting module is used for forwarding the received voice scheduling instruction to the corresponding vehicle.
The beneficial effect that technical scheme that this application provided brought includes:
the method monitors vehicles, drivers and roads, positions the vehicles in real time, and dispatches the vehicles according to monitoring conditions, so that the driving conditions of the vehicles on the roads are reasonably planned on the premise of ensuring the driving safety and cost control, and the construction requirements of mountainous areas are met.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart illustrating steps of a traffic scheduling method for a sidewalk in a mountain area construction provided in an embodiment of the present application;
fig. 2 is a block diagram of a structure of a traffic scheduling device for a sidewalk in mountain construction provided in an embodiment of the present application;
fig. 3 is a schematic block diagram of a traffic scheduling device for a sidewalk in mountain construction provided in an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
The embodiment of the application provides a method and a device for traffic scheduling of a construction sidewalk in a mountain area, which are used for monitoring vehicles, drivers and roads, positioning the vehicles in real time, and scheduling the vehicles according to monitoring conditions, so that the driving conditions of the vehicles on the roads are reasonably planned on the premise of guaranteeing driving safety and cost control, and the construction requirements of the mountain area are met.
In order to achieve the technical effects, the general idea of the application is as follows:
a method for scheduling a vehicle in a construction sidewalk in a mountain area comprises the following steps:
s1, monitoring the driving state of the vehicle on the target road to obtain the driving state of the vehicle;
s2, monitoring the driving behavior of the driver of the vehicle to obtain the behavior state of the driver;
s3, monitoring the target road to obtain a road state;
and S4, generating a corresponding driving scheduling command according to the driving state of the vehicle, the behavior information of the driver and the road state, and combining the positioning information of the vehicle and the geographic information of the target road.
Embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
In a first aspect, referring to fig. 1, an embodiment of the present application provides a method for scheduling driving of a sidewalk in a mountain area construction, where the method includes the following steps:
s1, monitoring the driving state of the vehicle on the target road to obtain the driving state of the vehicle;
s2, monitoring the driving behavior of the driver of the vehicle to obtain the behavior state of the driver;
s3, monitoring the target road to obtain a road state;
and S4, generating a corresponding driving scheduling command according to the driving state of the vehicle, the behavior information of the driver and the road state, and combining the positioning information of the vehicle and the geographic information of the target road.
In the embodiment of the application, the method comprises the following steps:
the method comprises the following steps of firstly, detecting the position and the speed of a vehicle in real time based on a Beidou navigation system.
Secondly, arranging a camera in the vehicle, wherein the camera is inclined upwards by 15 degrees at 30-45 degrees on the right side of the driving position, and the camera can capture facial features of a driver, so that the behavior state of the driver is obtained;
in addition, the camera sets a starting condition: when the vehicle speed is more than 20km/h, automatically starting intelligent monitoring, and when the vehicle speed is less than 20km/h, determining to determine the safe driving speed without judgment;
the method comprises the following steps of detecting abnormal driving behaviors of a driver in real time by utilizing edge computing power and an artificial intelligence algorithm: eye closure, fatigue driving (yawning), inattention (long-term desire), smoking, and making a call.
Thirdly, installing high-speed snapshot equipment at the entrance and exit of the target road, and counting the vehicles in the road section;
and deploying a camera in a preset key area of the target road, and monitoring falling rocks, collapse, vehicle overload and congestion detection through a deep learning artificial intelligence algorithm.
And fourthly, generating a corresponding driving dispatching instruction according to the driving state of the vehicle, the behavior information of the driver and the road state and by combining the positioning information of the vehicle and the geographic information of the target road, and dispatching and commanding the vehicle in a visual interface and voice mode.
It should be noted that, the area is preset by the electronic fence, when the vehicle travels to the preset monitoring section,
entering a monitoring road section, actively reminding the driver to slow down by voice, and if the speed is more than 30KM/H, reminding the driver to slow down by equipment voice;
according to the positioning information of the vehicle, the vehicle is detected to enter a sharp bend area, and the driver is actively reminded of slowing down in advance by voice to avoid sharp braking and sharp bend;
when the vehicle is detected to have rapid acceleration, rapid braking and rapid turning, the voice reminds the driver to decelerate in advance, accelerate slowly and turn;
when the driver is detected to have abnormal driving behaviors, namely, behaviors of closing eyes, fatigue driving (yawning), inattention (long-time left-hand desire), smoking, calling and the like, the driver is reminded through voice.
In the embodiment of the application, the vehicle, the driver and the road are monitored, the vehicle is positioned in real time, and the vehicle is dispatched according to the monitoring condition, so that the road vehicle running condition is reasonably planned on the premise of ensuring the running safety and cost control, and the requirement of mountain construction is met.
The method and the device for positioning the vehicle position fix the vehicle in real time, and the background algorithm is used for monitoring that the vehicle enters the safety hazard area to remind a driver to concentrate on energy and slow down to drive slowly, so that driving safety is guaranteed;
the driver is alarmed in real time when the driver does not perform standard behaviors, the driver is reminded of driving safety at the first time, and the safety consciousness of the driver is improved;
counting and counting the traffic flow, not only warning and scheduling the project vehicles, but also analyzing and scheduling the social vehicles;
the method comprises the following steps of monitoring road conditions including falling rocks, landslide and abnormal conditions, and reducing potential safety hazards;
and a driving dispatching instruction can be generated according to the data obtained by monitoring, and dispatching command is carried out, so that the road passing efficiency is increased, and the passing danger is reduced.
The core of the embodiment of the application is that vehicle, driver and road condition data are mastered in real time through a mountain construction sidewalk traffic safety and intelligent scheduling technology, and the intelligent scheduling server performs fusion analysis on the data and is matched with an intelligent scheduling instrument to improve the driving safety factor.
The embodiment of the application can be used for dealing with the construction sidewalk in the mountainous area, the construction sidewalk in the mountainous area is usually bent and narrow, and the construction project part is usually arranged on the mountain, so that the construction earth is required to be transported to the designated area by a vehicle to be stored, and the following problems exist in the environment:
the construction road is tortuous and has more sharp turning points;
the construction access road is narrow, and even a single-row lane can be formed in other places except for corners;
in some cases, one side of the construction sidewalk is a cliff, and the other side of the construction sidewalk is a cliff, so that the requirements on the psychological quality and the mental attention of a driver are high;
the height difference from the item part to the lower part of the sea level is at least 350 meters, and the gradient is steep;
when the vehicle at the project department goes down the hill, the earthwork is loaded more, the vehicle is large and heavy, and the risk coefficient is increased in the form process.
Specifically, the vehicle driving state comprises a vehicle overspeed state, a vehicle sudden braking state, a vehicle sudden acceleration state and a vehicle sudden turning state.
In particular, the driver behavior states include fatigue driving and inattention.
Specifically, the road state includes road congestion, falling rocks, or landslide.
Further, the method for dispatching the traffic of the construction sidewalk in the mountainous area further comprises the following steps:
and forwarding to the corresponding vehicle according to the received voice scheduling instruction.
In a second aspect, referring to fig. 2 to 3, an embodiment of the present application provides a mountain construction sidewalk driving scheduling device, which is based on the mountain construction sidewalk driving scheduling method mentioned in the first aspect, and the device includes:
the vehicle monitoring module is used for monitoring the running state of the vehicle on the target road to obtain the running state of the vehicle;
the driver monitoring module is used for monitoring the driving behavior of a driver of the vehicle to obtain the behavior state of the driver;
the road monitoring module is used for monitoring a target road to obtain a road state;
and the driving scheduling module is used for generating a corresponding driving scheduling instruction according to the driving state of the vehicle, the behavior information of the driver and the road state by combining the positioning information of the vehicle and the geographic information of the target road.
Specifically, the running scheduling instruction is issued based on a preset intelligent scheduling instrument.
In the embodiment of the application, when the device works, the specific implementation conditions are as follows:
the vehicle monitoring module is based on a Beidou navigation system and is used for detecting the position and the speed of the vehicle in real time.
The driver monitoring module can be a camera arranged in the vehicle, the camera is arranged between 30 and 45 degrees at the right side of the driving position and inclines upwards by 15 degrees, so that the camera can capture facial features of a driver, and the behavior state of the driver is obtained;
in addition, the camera sets a starting condition: when the vehicle speed is more than 20km/h, automatically starting intelligent monitoring, and when the vehicle speed is less than 20km/h, determining to determine the safe driving speed without judgment;
the method comprises the following steps of detecting abnormal driving behaviors of a driver in real time by utilizing edge computing power and an artificial intelligence algorithm: eye closure, fatigue driving (yawning), inattention (long-term desire), smoking, and making a call.
The road monitoring module can be specifically a high-speed snapshot device arranged at an entrance and an exit of a target road and is used for counting vehicles in a road section;
and deploying a camera in a preset key area of the target road, and monitoring falling rocks, collapse, vehicle overload and congestion detection through a deep learning artificial intelligence algorithm.
And generating a corresponding driving scheduling instruction according to the driving state of the vehicle, the behavior information of the driver and the road state and by combining the positioning information of the vehicle and the geographic information of the target road, and scheduling and commanding the vehicle in a visual interface and voice mode.
It should be noted that, the area is preset by the electronic fence, when the vehicle travels to the preset monitoring section,
entering a monitoring road section, actively reminding the driver to slow down by voice, and if the speed is more than 30KM/H, reminding the driver to slow down by equipment voice;
according to the positioning information of the vehicle, the vehicle is detected to enter a sharp bend area, and the driver is actively reminded of slowing down in advance by voice to avoid sharp braking and sharp bend;
when the vehicle is detected to have rapid acceleration, rapid braking and rapid turning, the voice reminds the driver to decelerate in advance, accelerate slowly and turn;
when the driver is detected to have abnormal driving behaviors, namely, behaviors of closing eyes, fatigue driving (yawning), inattention (long-time left-hand desire), smoking, calling and the like, the driver is reminded through voice.
In the embodiment of the application, the vehicle, the driver and the road are monitored, the vehicle is positioned in real time, and the vehicle is dispatched according to the monitoring condition, so that the road vehicle running condition is reasonably planned on the premise of ensuring the running safety and cost control, and the requirement of mountain construction is met.
The method and the device for positioning the vehicle position fix the vehicle in real time, and the background algorithm is used for monitoring that the vehicle enters the safety hazard area to remind a driver to concentrate on energy and slow down to drive slowly, so that driving safety is guaranteed;
the driver is alarmed in real time when the driver does not perform standard behaviors, the driver is reminded of driving safety at the first time, and the safety consciousness of the driver is improved;
counting and counting the traffic flow, not only warning and scheduling the project vehicles, but also analyzing and scheduling the social vehicles;
the method comprises the following steps of monitoring road conditions including falling rocks, landslide and abnormal conditions, and reducing potential safety hazards;
and a driving dispatching instruction can be generated according to the data obtained by monitoring, and dispatching command is carried out, so that the road passing efficiency is increased, and the passing danger is reduced.
Specifically, the vehicle driving state comprises a vehicle overspeed state, a vehicle sudden braking state, a vehicle sudden acceleration state and a vehicle sudden turning state.
In particular, the driver behavior states include fatigue driving and inattention.
Specifically, the road state includes road congestion, falling rocks, or landslide.
Further, this mountain area construction road traffic scheduling device still includes:
and the instruction broadcasting module is used for forwarding the received voice scheduling instruction to the corresponding vehicle.
It is noted that, in the present application, relational terms such as "first" and "second", and the like, are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The foregoing are merely exemplary embodiments of the present application and are presented to enable those skilled in the art to understand and practice the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the application. Thus, the present application is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method for scheduling vehicles for a construction sidewalk in a mountainous area is characterized by comprising the following steps:
monitoring the running state of the vehicle on the target road to obtain the running state of the vehicle;
monitoring the driving behavior of a driver of the vehicle to obtain the behavior state of the driver;
monitoring the target road to obtain a road state;
and generating a corresponding driving scheduling instruction according to the driving state of the vehicle, the driver behavior information and the road state by combining the positioning information of the vehicle and the geographic information of the target road.
2. The mountain construction sidewalk driving scheduling method of claim 1, wherein:
the vehicle running state comprises a vehicle overspeed state, a vehicle sudden braking state, a vehicle sudden acceleration state and a vehicle sudden turning state.
3. The mountain construction sidewalk driving scheduling method of claim 1, wherein:
the driver behavior states include fatigue driving and inattention.
4. The mountain construction sidewalk driving scheduling method of claim 1, wherein:
the road state comprises road congestion, falling rocks or landslide.
5. The method for dispatching vehicles on the sidewalk for mountain construction according to claim 1, further comprising the steps of:
and forwarding to the corresponding vehicle according to the received voice scheduling instruction.
6. The utility model provides a mountain area construction pavement driving scheduling device which characterized in that, the device includes:
the vehicle monitoring module is used for monitoring the running state of the vehicle on the target road to obtain the running state of the vehicle;
the driver monitoring module is used for monitoring the driving behavior of a driver of the vehicle to obtain the behavior state of the driver;
the road monitoring module is used for monitoring the target road to obtain a road state;
and the driving scheduling module is used for generating a corresponding driving scheduling instruction according to the driving state of the vehicle, the driver behavior information and the road state and by combining the positioning information of the vehicle and the geographic information of the target road.
7. The mountain area construction sidewalk traveling scheduling device of claim 6, wherein:
the vehicle running state comprises a vehicle overspeed state, a vehicle sudden braking state, a vehicle sudden acceleration state and a vehicle sudden turning state.
8. The mountain area construction sidewalk traveling scheduling device of claim 6, wherein:
the driver behavior states include fatigue driving and inattention.
9. The mountain area construction sidewalk traveling scheduling device of claim 6, wherein:
the road state comprises road congestion, falling rocks or landslide.
10. The mountain area construction sidewalk traveling scheduling device of claim 6, further comprising:
and the instruction broadcasting module is used for forwarding the received voice scheduling instruction to the corresponding vehicle.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110964692.1A CN113781776A (en) | 2021-08-19 | 2021-08-19 | Mountain construction sidewalk driving scheduling method and device |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202110964692.1A CN113781776A (en) | 2021-08-19 | 2021-08-19 | Mountain construction sidewalk driving scheduling method and device |
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| CN113781776A true CN113781776A (en) | 2021-12-10 |
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| CN202110964692.1A Pending CN113781776A (en) | 2021-08-19 | 2021-08-19 | Mountain construction sidewalk driving scheduling method and device |
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| CN112700024A (en) * | 2021-01-12 | 2021-04-23 | 中铁大桥局集团有限公司 | Method and system for scheduling and supervising driving and safety of construction sidewalk in mountainous area |
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2021
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104240528A (en) * | 2014-09-26 | 2014-12-24 | 苟志勇 | Mountain road curve traffic warning and scheduling method and device |
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| CN109345776A (en) * | 2018-09-26 | 2019-02-15 | 安徽磐岳科技有限公司 | A kind of massif falling rocks real-time monitoring system based on radar |
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Application publication date: 20211210 |