CN113034898B - Road unblocked display system based on cloud computing - Google Patents
Road unblocked display system based on cloud computing Download PDFInfo
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- CN113034898B CN113034898B CN202110225260.9A CN202110225260A CN113034898B CN 113034898 B CN113034898 B CN 113034898B CN 202110225260 A CN202110225260 A CN 202110225260A CN 113034898 B CN113034898 B CN 113034898B
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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
- G08G1/0125—Traffic data processing
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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
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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
- G08G1/0125—Traffic data processing
- G08G1/0133—Traffic data processing for classifying traffic situation
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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
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
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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
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
- G08G1/0141—Measuring and analyzing of parameters relative to traffic conditions for specific applications for traffic information dissemination
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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
- G08G1/04—Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
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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
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/065—Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
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- 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
- G08G1/096833—Systems involving transmission of navigation instructions to the vehicle where different aspects are considered when computing the route
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Abstract
The invention provides a road unblocked display system based on cloud computing, which comprises a collection device, an early warning device, an evaluation device, a detection device, a navigation device, a processing device and a processor, wherein the collection device is used for collecting data of a driving path; the early warning device is configured to early warn a driving process of a vehicle and trigger an early warning signal; the evaluation device is configured to estimate a condition of a travel path; the navigation device is configured to perform real-time simulation guidance on each driving path; the processing device is configured to process data of the same node and provide road clear data. The invention adopts the mutual cooperation of the early warning device and the navigation device to early warn the data of the specific position and guide the vehicle to run by the guiding operation of the navigation device, thereby improving the efficient utilization of the smooth road.
Description
Technical Field
The invention relates to the technical field of signal display devices, in particular to a road unblocked display system based on cloud computing.
Background
With the continuous expansion of urban scale, traffic jam in peak hours of large cities becomes a normal state, and the rapid development of urban economy is seriously influenced. In order to solve the problem of traffic jam, governments at all levels invest a large amount of funds and take various measures to relieve the traffic jam caused by peak time, but the effect is not obvious, and the main reason is that the road jam and a road jam initiation point cannot be distinguished, so that accurate detection of the jam initiation point is the key for relieving the road jam, the occurrence time of the jam initiation point is further recorded in real time, and the action state is displayed on a GIS (geographic information system) map, so that support is provided for quick and accurate decision making.
For example, CN101719314A discloses a method for analyzing regional traffic congestion initiation point records in the prior art, which comprises an analysis processing computer arranged in a control center, a traffic congestion rapid alarm device arranged on an urban road network, and a communication line. The analysis processing computer is preset with a database of the upstream and downstream relations of the detected point, and an initiation point analysis program is operated. In the area where large-scale traffic jam often occurs, detected points are respectively arranged at intersections, ramp junctions or confluence points of express ways or loops, or at intervals of express ways or loops according to actual needs, and a rapid jam alarm device is installed. After a certain detected point is jammed, the jam rapid alarm device installed at the point can rapidly send jam alarm information to an analysis processing computer of a traffic command control center.
The existing technologies such as KR101654364B1, EP2482996B1 and US08721396B1 are found through a large amount of search, and the intelligent transportation system effectively and comprehensively applies advanced scientific technologies (information technology, computer technology, data communication technology, sensor technology, electronic control technology, automatic control theory, operational research, artificial intelligence and the like) to transportation, service control and vehicle manufacturing, strengthens the relation among vehicles, roads and users, and thus forms a comprehensive transportation system which ensures safety, improves efficiency, improves environment and saves energy. At the present stage, more and more people select private cars as the vehicle when going on a journey, often cause the traffic congestion at each road section, and the driver often can not know the degree of blocking up of the highway section of will traveling in advance at the in-process of traveling, often need drive in and just can know to aggravate the degree of blocking up and waste time, can not select comparatively unobstructed highway section in advance and caused many troubles.
The invention aims to solve the problems that data interaction is lack, road condition early warning cannot be carried out, information display is delayed, intelligent regulation and distribution cannot be realized and the like in the field.
Disclosure of Invention
The invention aims to provide a road unblocked display system based on cloud computing, aiming at the defects of the current road unblocked monitoring display.
In order to overcome the defects of the prior art, the invention adopts the following technical scheme:
a road unblocked display system based on cloud computing comprises a collection device, an early warning device, an evaluation device, a detection device, a navigation device, a processing device and a processor, wherein the collection device is configured to collect data of a driving path; the early warning device is configured to early warn the driving process of the vehicle and trigger an early warning signal; the evaluation device is configured to estimate a condition of a travel path; the navigation device is configured to perform real-time simulation guidance on each driving path; the processing device is configured to process data of the same node and provide road clear data.
Optionally, the collecting device comprises a collecting mechanism and an interaction mechanism, wherein the collecting mechanism is configured to collect the condition of the road; the interaction mechanism is configured to collect a condition of the road; the acquisition mechanism comprises an acquisition piece, a steering member and a trigger unit, wherein the steering member is configured to adjust the direction of the acquisition piece; the acquisition component is configured to acquire data of the interaction mechanism; the trigger unit is configured to receive a reception signal of the interaction mechanism; the interaction means comprises a speed detection means configured to detect the speed of the flow of traffic, a timing unit and a transmission means; the timing unit is configured to time a waiting time of a traffic flow; the transmission means is configured to transmit based on data of the speed detection means and the time counting unit.
Optionally, the early warning device comprises an early warning mechanism and a receiving mechanism, and the early warning mechanism is configured to trigger an early warning signal based on an evaluation result of the evaluation device during the running process of the vehicle; the receiving mechanism is configured to receive a signal of the evaluation device or the detection device and control the early warning mechanism to trigger an early warning signal through a control instruction; the early warning mechanism comprises a data model and a wireless transmission component, wherein the data model is configured to analyze the data and extract the characteristics of one or more regions; classifying each characteristic; the wireless transmission means is configured to receive an early warning signal for the data model and transmit an ultrasonic early warning signal over a transmission link; the data model is configured to combine road condition data associated with one or more regions with surface data obtained from surface samples to classify the condition of the road and to trigger a pre-warning signal.
Optionally, the evaluation device includes a dynamic lane detection mechanism and a data conditioning mechanism, and the data conditioning mechanism is configured to condition data of the dynamic lane detection mechanism and perform a data conditioning operation in combination with data of the acquisition device; the dynamic lane detection mechanism is configured to provide information indicative of a number of virtual lanes in the road and corresponding based on the virtual lanes; the dynamic lane detection mechanism includes dynamic lane markings and transmitters, the dynamic lane markings configured for equidistant distribution along a lane; the transmitter is configured to trigger an evaluation of the lane based on the signals of the respective dynamic lane markers.
Optionally, the detection device comprises a detection mechanism and a verification mechanism, wherein the detection mechanism is configured to locate the position of each vehicle; the verification mechanism is configured to select a location marker in a detection area based on location data of the detection mechanism; the detection mechanism comprises a plurality of positioning marks and a state detection component, each positioning mark is configured to mark the position of the vehicle, and each positioning mark is configured to correspond to a unique identifier of each vehicle; the state detection means is configured to acquire the state of each of the positioning marks for acquisition.
Optionally, the navigation device includes a guide mechanism configured to guide a position of the vehicle based on data of the evaluation device and an offset mechanism; the offset mechanism is configured to monitor parameters of an offset position and movement of the vehicle; the guide mechanism includes a speed detection unit configured to detect a moving speed or an acceleration of the vehicle, and a statistic unit; if the acceleration or the moving speed exceeds a set minimum threshold value, triggering a response to the waiting time of the vehicle; the statistical unit is configured to be based on statistics of the waiting time; the statistical unit comprises a distance detection piece and a time monitoring piece, wherein the distance detection piece is configured to detect based on the distance between the vehicle and the corresponding acquisition area; the time detection member is configured to record a time exceeding the allowable threshold and the early warning threshold.
Optionally, the processing device comprises a processing mechanism and an angle acquisition mechanism, wherein the processing mechanism is configured to process data of the acquisition device; the angle acquisition mechanism is configured to detect an acquisition angle of the acquisition device and establish a data space model; the processing mechanism is configured to acquire at least three different azimuthally acquired images of the scene; and based on the processor's calculation of the measured intensity at a particular image location or pixel as a function of the orientation angle.
Optionally, the dynamic lane marker is configured as a first number of dynamic marker lanes corresponding to the first number of virtual lanes and a second number of dynamic marker lanes corresponding to the second number of virtual lanes.
Optionally, the data space model is configured to model a spatial position of the vehicle or the road; wherein the position of each of the vehicles in the road is configured as a model block, and a sequence of each of the model blocks is calculated.
Optionally, the data space model is further configured to output an indication of a set of one or more filtered interference sequences that may be used to generate at least one automated workflow or information that may be used to improve vehicle sequences.
The beneficial effects obtained by the invention are as follows:
1. the early warning device is matched with the navigation device to early warn the data of the specific position, and the vehicle is guided to run by the guiding operation of the navigation device, so that the efficient utilization of the smooth road is improved;
2. the detection device is matched with the early warning device, the vehicles running in the detection area are detected, data interaction is carried out by combining data of the acquisition device, the smooth degree of the road and the vehicles can be accurately detected, and the data are transmitted to each mobile terminal through the communication facility to be shared by each user;
3. by adopting the mutual matching of the acquisition mechanism and the interaction mechanism, the acquisition mechanism can carry out the directional delivery of data through the interaction mechanism and the set processing center after the acquisition mechanism carries out the data acquisition on the supervision road section;
4. the transmission unit is used for transmitting the data acquired by the acquisition mechanism, and meanwhile, the positioning mark is used for positioning the position of the acquisition device, positioning the interaction mechanism and accurately positioning the acquired data;
5. the directional throwing mechanism is adopted to send early warning signals to vehicles in the acquisition area, the vehicles can prompt drivers after receiving the early warning signals, and the signals are fed back to the directional throwing unit;
6. the dynamic lane detection mechanism and the data conditioning mechanism are matched with each other for use, so that traffic flow in a monitored area or the smooth condition of a road is detected, and a simulated lane is established, so that the lane can be accurately detected;
7. through the cooperation of adopting each location mark and state detection component to use for the position of vehicle detects, and simultaneously, collection system and detection device can also detect vehicle trouble etc. in collection area or the monitoring area.
Drawings
The invention will be further understood from the following description in conjunction with the accompanying drawings. The components in the figures are not necessarily to scale, emphasis instead being placed upon illustrating the principles of the embodiments. Like reference numerals designate corresponding parts throughout the different views.
FIG. 1 is a control flow diagram of the present invention.
Fig. 2 is a schematic structural diagram of the detection device and the vehicle.
Fig. 3 is a schematic structural diagram of the vehicle and the early warning device.
Fig. 4 is a schematic structural diagram of the acquisition mechanism.
Fig. 5 is a schematic structural diagram of the interaction mechanism.
Fig. 6 is a schematic diagram of the dynamic lane application scenario.
Fig. 7 is a schematic view of an application scenario of the data space model.
FIG. 8 is a block diagram of the present invention.
The reference numbers illustrate: 1-a detection device; 2-a collecting mechanism; 3-a steering member; 4-early warning device; 5-a receiving mechanism; 6-vehicle; 7-a localization marker; 8-a transmitting means; 9-speed detection means; 10-a virtual lane; 11-lane.
Detailed Description
In order to make the objects and advantages of the present invention more apparent, the present invention will be further described in detail with reference to the following embodiments; it should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. Other systems, methods, and/or features of the present embodiments will become apparent to those skilled in the art upon review of the following detailed description. It is intended that all such additional systems, methods, features and advantages be included within this description, be within the scope of the invention, and be protected by the accompanying claims. Additional features of the disclosed embodiments are described in, and will be apparent from, the detailed description below.
The same or similar reference numerals in the drawings of the embodiments of the present invention correspond to the same or similar components; in the description of the present invention, it should be understood that if there is an orientation or positional relationship indicated by the terms "upper" and "lower" and "left" and "right" etc., it is only for convenience of description and simplification of the description based on the orientation or positional relationship shown in the drawings, but it is not indicated or implied that the device or assembly referred to must have a specific orientation.
The first embodiment is as follows: a road unblocked display system based on cloud computing comprises a collection device, an early warning device, an evaluation device, a detection device, a navigation device, a processing device and a processor, wherein the collection device is configured to collect data of a driving path; the early warning device is configured to early warn the driving process of the vehicle and trigger an early warning signal; the evaluation device is configured to estimate a condition of a travel path; the navigation device is configured to perform real-time simulation guidance on each driving path; the processing device is configured to process data of the same node and provide road smoothness data;
further, the acquisition device comprises an acquisition mechanism and an interaction mechanism, wherein the acquisition mechanism is configured to acquire the condition of the road; the interaction mechanism is configured to collect a condition of the road; the acquisition mechanism comprises an acquisition piece, a steering member and a trigger unit, wherein the steering member is configured to adjust the direction of the acquisition piece; the acquisition component is configured to acquire data of the interaction mechanism; the trigger unit is configured to receive a reception signal of the interaction mechanism; the interaction means comprises a speed detection means configured to detect the speed of the flow of traffic, a timing unit and a transmission means; the timing unit is configured to time a waiting time of a traffic flow; the transmission means is configured to transmit based on data of the speed detection means and the time counting unit;
further, the early warning device comprises an early warning mechanism and a receiving mechanism, wherein the early warning mechanism is configured to trigger an early warning signal based on an evaluation result of the evaluation device during the running process of the vehicle; the receiving mechanism is configured to receive a signal of the evaluation device or the detection device and control the early warning mechanism to trigger an early warning signal through a control instruction; the early warning mechanism comprises a data model and a wireless transmission component, wherein the data model is configured to analyze the data and extract features of one or more regions; classifying each characteristic; the wireless transmission means is configured to receive an early warning signal for the data model and transmit an ultrasonic early warning signal over a transmission link; the data model is configured to combine road condition data associated with one or more regions with the obtained ground data of the ground samples to classify the condition of the road and to trigger an early warning signal;
further, the evaluation device comprises a dynamic lane detection mechanism and a data conditioning mechanism, wherein the data conditioning mechanism is configured to condition data of the dynamic lane detection mechanism and perform data conditioning operation in combination with data of the acquisition device; the dynamic lane detection mechanism is configured to provide information indicative of a number of virtual lanes in the road and corresponding based on the virtual lanes; the dynamic lane detection mechanism includes dynamic lane markings and transmitters, the dynamic lane markings configured for equidistant distribution along a lane; the transmitter is configured to trigger an evaluation of the lane for signals based on each of the dynamic lane markers;
further, the detection device includes a detection mechanism configured to locate a position of each vehicle and a verification mechanism; the verification mechanism is configured to select a location marker in a detection area based on location data of the detection mechanism; the detection mechanism comprises a plurality of positioning marks and a state detection component, each positioning mark is configured to mark the position of the vehicle, and each positioning mark is configured to correspond to a unique identifier of each vehicle; the state detection means is configured to collect the state of each of the positioning marks;
further, the navigation device includes a guide mechanism configured to guide a position of the vehicle based on data of the evaluation device, and an offset mechanism; the offset mechanism is configured to monitor parameters of an offset position and movement of the vehicle; the guiding mechanism includes a speed detecting unit configured to detect a moving speed or an acceleration of the vehicle, and a statistical unit; if the acceleration or the moving speed exceeds a set minimum threshold value, triggering a response to the waiting time of the vehicle; the statistical unit is configured to be based on statistics of the waiting time; the statistical unit comprises a distance detection piece and a time monitoring piece, wherein the distance detection piece is configured to detect based on the distance between the vehicle and the corresponding acquisition area; the time detection component is configured to record the time exceeding the allowable threshold and the early warning threshold;
further, the processing device comprises a processing mechanism and an angle acquisition mechanism, wherein the processing mechanism is configured to process data of the acquisition device; the angle acquisition mechanism is configured to detect an acquisition angle of the acquisition device and establish a data space model; the processing mechanism is configured to acquire at least three different azimuthally acquired images of the scene; and based on the processor calculating the measured intensity at a particular image location or pixel as a function of the orientation angle;
further, the dynamic lane markers are configured as a first number of dynamic marker lanes corresponding to the first number of virtual lanes and a second number of dynamic marker lanes corresponding to the second number of virtual lanes;
further, the data space model is configured to model a spatial location of the vehicle or the road; wherein the position of each vehicle in the road is configured as a model block and a sequence of each model block is calculated;
further, the data space model is also configured to output an indication of a set of one or more filtered jamming sequences or information that may be used to improve vehicle sequencing that may be used to generate at least one automation workflow.
Example two: this embodiment should be understood to include at least all of the features of any of the foregoing embodiments and further modifications thereon; the display system comprises a collecting device, an early warning device, an evaluation device, a detection device, a navigation device, a processing device and a processor, wherein the collecting device is used for collecting data of a driving path; the early warning device is configured to early warn a driving process of a vehicle and trigger an early warning signal; the evaluation device is configured to estimate a condition of a travel path; the navigation device is configured to perform real-time simulation guidance on each driving path; the processing device is configured to process data of the same node and provide road clear data; the processor is respectively in control connection with the acquisition device, the evaluation device, the detection device, the navigation device, the early warning device and the processing device, and controls the operation of each device based on the centralized control of the processor, so that the effect of real-time display or monitoring of the unblocked road is improved in the process of driving the vehicle on the road; meanwhile, the early warning device and the evaluation device are matched with each other to carry out early warning or estimation on the road or the vehicle; the detection device is matched with the early warning device, detects vehicles running in a detection area, performs data interaction by combining data of the acquisition device, ensures that the smoothness of the road and the vehicles can be accurately detected, and simultaneously transmits the data to each mobile terminal through a communication facility for sharing by each user; the early warning device is matched with the navigation device to early warn specific position data, and the vehicle is guided to run by the guiding operation of the navigation device, so that the efficient utilization of the smooth road is improved; the display system further comprises a pushing device, wherein the pushing device is configured to display or push an early warning signal of the early warning device or an evaluation result of the evaluation device;
the acquisition device comprises an acquisition mechanism and an interaction mechanism, wherein the acquisition mechanism is configured to acquire the condition of a road; the interaction mechanism is configured to collect a condition of the road; the acquisition mechanism comprises an acquisition piece, a steering member and a trigger unit, wherein the steering member is configured to adjust the direction of the acquisition piece; the acquisition component is configured to acquire data of the interaction mechanism; the trigger unit is configured to receive a reception signal of the interaction mechanism; the interaction means comprises a speed detection means configured to detect the speed of the flow of traffic, a timing unit and a transmission means; the timing unit is configured to time a waiting time of a traffic flow; the transmission means is configured to transmit based on data of the speed detection means and the time counting unit; the acquisition device is arranged on the detection node of each road and acquires data based on the detection node of each road section; the acquisition mechanism can be arranged on one side of a street lamp or a monitoring camera device of the road section and monitors the monitored road section in real time; the acquisition mechanism and the interaction mechanism are mutually matched for use, so that after the acquisition mechanism acquires data of a supervision road section, the acquisition mechanism can directionally release the data with a set processing center through the interaction mechanism; the acquisition members include, but are not limited to, the following listed ones: components for monitoring the vehicle, such as a camera, a video camera, a speed detection sensor or a movement sensor; the acquisition part realizes real-time monitoring on each position under the rotation of the steering component; in addition, the steering member includes a steering base, a steering drive mechanism, and an angle detection member, the pickup member being configured to be provided on the steering base; the steering driving mechanism is configured to be in driving connection with the steering seat and rotate along the axis of the steering seat; the angle detection piece is configured to detect the rotating angle of the steering seat and feed back the rotating angle to the processor in real time; the interaction mechanism comprises a pushing unit and a data interaction unit, wherein the data interaction unit is configured to transmit or interact data of adjacent monitoring nodes, namely: a plurality of acquisition devices are respectively arranged on the same road section, and the interaction mechanisms among the acquisition devices transmit and share data through the data interaction unit to realize the establishment of a data link; meanwhile, monitoring nodes are respectively established at different positions of the same road section by the acquisition devices, and a monitoring network is formed among the monitoring nodes; meanwhile, data interaction is carried out among the interaction mechanisms of the acquisition devices, and the interaction mechanisms are used for carrying out data interaction in the same operation direction; in this embodiment, a plurality of detection nodes are arranged in the same road running direction, and a path is arranged between the detection nodes to perform data interaction, so that the unblocked situation of the road can be estimated or early-warning operation can be performed in the same running direction, vehicles entering the road section can bypass the road, and congestion early warning on the road section is realized; the acquisition mechanism and the interaction mechanism are matched for use, so that the acquisition or early warning of the road section is more accurate, timely and reliable; the interaction mechanisms comprise connecting members, positioning marks and transmission units, wherein the connecting members are configured to connect the adjacent interaction mechanisms and establish a data transmission channel; the transmission unit is configured to perform transmission operation on the data acquired by the acquisition mechanism and perform data interaction or transmission based on the transmission channel; after the data transmission channel is established, the transmission unit transmits the data acquired by the acquisition mechanism; meanwhile, the positioning mark is configured to position the position of the acquisition device, perform positioning indication on the interaction mechanism, and perform accurate positioning on the acquired data;
the early warning device comprises an early warning mechanism and a receiving mechanism, wherein the early warning mechanism is configured to trigger an early warning signal based on an evaluation result of the evaluation device during the running process of the vehicle; the receiving mechanism is configured to receive a signal of the evaluation device or the detection device and control the early warning mechanism to trigger an early warning signal through a control instruction; the early warning mechanism comprises a data model and a wireless transmission component, wherein the data model is configured to analyze the data and extract the characteristics of one or more regions; classifying each characteristic; the wireless transmission means is configured to receive an early warning signal for the data model and transmit an ultrasonic early warning signal over a transmission link; the data model is configured to combine road condition data associated with one or more regions with the obtained ground data of the ground samples to classify the condition of the road and to trigger an early warning signal; the early warning device is matched with the acquisition device, and triggers an early warning signal based on data acquisition of each road section by the acquisition device; the early warning device is also matched with the assessment mechanism for use, and based on the assessment operation of the assessment device on the road, the data of the road smoothness can be accurately acquired; the early warning mechanism is configured to receive the data collected by the collecting mechanism and the data evaluated and loaded respectively, and trigger different early warning signals based on different control strategies; the receiving mechanism receives the data of the detection device, the acquisition device or the evaluation device, transmits the detected or received data to the processor, and triggers the early warning signal by the processor based on the early warning strategy; the early warning strategy comprises that the running speed of the vehicle in the lane is lower than a set minimum threshold value; acquiring the image of the road section through the acquisition mechanism; detecting the degree of congestion of the vehicle in a detection traffic lane of the area detected by the acquisition device; the early warning mechanism is also used for analyzing based on the image data acquired by the acquisition device, analyzing images in each monitoring area in a data model in a matching manner, extracting the characteristics of one or more areas and classifying each characteristic; the parameters of the classification include, but are not limited to, the following listed ones: the congestion degree, the number of lanes, the lane occupation condition and the like are used for detecting data of the road condition; meanwhile, the distinguished characteristic data are classified, so that the data model or the processor can process early warning signals with different characteristics; the wireless transmission means comprises an adjustment configured to adjust the directional drop unit and a directional drop unit; the directional delivery unit is configured to transmit data to a vehicle learning device in a specific direction, so that the early warning signal can early warn vehicles in the area, and a controller of the vehicles can accurately control the predicted transit time; the adjusting device comprises an adjusting rod, an adjusting seat, an adjusting driving mechanism and an adjusting detection piece, wherein one end of the adjusting rod is connected with the adjusting seat, the other end of the adjusting rod is in driving connection with the adjusting driving mechanism, and the adjusting seat is connected with the directional throwing unit and rotates along with the rotation of the adjusting seat; the adjustment detection mechanism is configured to detect an angle of rotation of the directional drop unit of the shuttle; the directional throwing mechanism sends the early warning signal to the vehicle in the acquisition area, and the vehicle can prompt a driver after receiving the early warning signal and feed back the signal to the directional throwing unit;
the evaluation device comprises a dynamic lane detection mechanism and a data conditioning mechanism, wherein the data conditioning mechanism is configured to condition data of the dynamic lane detection mechanism and perform data conditioning operation in combination with data of the acquisition device; the dynamic lane detection mechanism is configured to provide information indicative of a number of virtual lanes in the road and corresponding based on the virtual lanes; the dynamic lane detection mechanism includes dynamic lane markings and transmitters, the dynamic lane markings configured for equidistant distribution along a lane; the transmitter is configured to trigger an evaluation of the lane for signals based on each of the dynamic lane markers; the evaluation device and the early warning device are matched with each other, the evaluation device transmits a signal u with the early warning device based on an evaluation result of the evaluation device, and the early warning device puts in an early warning signal according to the early warning strategy; in addition, the dynamic lane detection mechanism and the data conditioning mechanism are matched with each other for use, the traffic flow or the road unblocked condition in a monitoring area is detected, and a simulated lane is established, so that the lane can be accurately detected; the dynamic lane detection mechanism comprises deviation detection, wherein the deviation detection positions the vehicle positions in the virtual lanes and marks the lanes through the dynamic lane marks, so that the positions of the vehicles are accurately positioned; the dynamic lane markers are configured to be disposed along edges in the lane and to detect a spacing between the respective vehicles; in addition, the dynamic lane marker includes a distance detector and a summary unit configured to summarize data collected by the distance detector and to perform the summarized operation with the data conditioning mechanism via the transmitter; the transmitter is transmitted with the processor or the central processing unit through communication equipment, so that each acquisition area or each monitoring area is accurately acquired; the data conditioning mechanism is configured to monitor data of the occupation condition of the virtual lane, so that the dynamic lane detection mechanism can monitor the departure condition of the vehicle in the lane in real time; meanwhile, the data conditioning mechanism can detect the offset of the vehicle and process the data through the processing device, so that the whole system can efficiently process the system monitoring process; the data conditioning mechanism performs data conditioning operations that include, but are not limited to, the following listed ones: converting data formats, transmitting data or acquiring data; additionally, the dynamic lane marker is configured as a first number of dynamic marker lanes corresponding to the first number of virtual lanes and a second number of dynamic marker lanes corresponding to the second number of virtual lanes; the data conditioning mechanism is further configured to switch between different dynamic lane markings to identify a first number of dynamic marking lanes of the road segment available for use by the vehicle while controlling the dynamic lane markings to provide first information indicative of the first number of virtual lanes; identifying a second dynamic marking lane number of a road segment available for a vehicle by the dynamic lane markings while at one of the collection area or monitoring area of each location road segment between different locations, and simultaneously controlling the dynamic lane markings to provide second information indicating a second number of virtual lanes for alerting or pre-estimating the vehicle to travel into the collection area or monitoring area road segment;
the detection device includes a detection mechanism configured to locate a position of each vehicle and a verification mechanism; the verification mechanism is configured to select a location marker in a detection area based on location data of the detection mechanism; the detection mechanism comprises a plurality of positioning marks and a state detection component, each positioning mark is configured to mark the position of the vehicle, and each positioning mark is configured to correspond to a unique identifier of each vehicle; the state detection means is configured to collect the state of each of the positioning marks; the detection device is matched with the acquisition device for use, and the density of the vehicle is detected; meanwhile, the waiting amount of the detection area can be accurately discriminated; the detection mechanism is arranged on the ground of the acquisition area and used for monitoring the number of vehicles in the acquisition area; the position of the vehicle is detected through the matched use of each positioning mark and the state detection component; meanwhile, the acquisition device and the detection device can also detect vehicle faults and the like in the acquisition area or the monitoring area, such as: accidents such as scraping, collision or car accidents occur in the acquisition area, the accidents are acquired through the acquisition device, an early warning signal is triggered through the early warning device, and a driver of the vehicle is prompted to decelerate or pay attention to driving; each positioning mark is configured to be arranged on the road surface of the acquisition area, and the state detection piece acquires each positioning mark when the acquisition area is occupied by a vehicle, and triggers further determination through the acquisition device based on the fact that each vehicle is occupied in the acquisition area; in this embodiment, several collecting areas are set in different areas of the same lane, and several devices including, but not limited to, the following are set in each collecting area: the system comprises a detection device, a collection device, an evaluation device, a navigation device, the early warning device and a processing device; when vehicles on the same road section enter, the vehicles sequentially pass through the acquisition areas arranged in the road section, so that the navigation device or the early warning device can directionally launch the data of the vehicles, and a driver of the vehicles has the best driving experience; in addition, data interaction can be performed in the adjacent acquisition devices or the detection devices, that is to say: data in the acquisition area in the previous driving direction can interact with the acquisition area of an employee in the next driving direction, so that accurate display or early warning operation can be performed on the smooth road;
the navigation device includes a guide mechanism configured to guide a position of the vehicle based on data of the evaluation device, and an offset mechanism; the offset mechanism is configured to monitor parameters of an offset position and movement of the vehicle; the guide mechanism includes a speed detection unit configured to detect a moving speed or an acceleration of the vehicle, and a statistic unit; if the acceleration or the moving speed exceeds a set minimum threshold value, triggering a response to the waiting time of the vehicle; the statistical unit is configured to be based on statistics of the waiting time; the statistical unit comprises a distance detection piece and a time monitoring piece, wherein the distance detection piece is configured to detect based on the distance between the vehicle and the corresponding acquisition area; the time detection component is configured to record the time exceeding the allowable threshold and the early warning threshold; the navigation device is matched with the early warning device and the evaluation device for use, so that if an early warning signal exists in a path which is driven in advance or a smooth evaluation result is too high, the navigation operation of the navigation device is triggered; the deviation mechanism detects a deviation angle of the vehicle; meanwhile, in the process of detouring or deviating the vehicle, the position triggered by the early warning device is used as the center, so that the congested road sections can be avoided in sequence, efficient smooth traffic can be realized, the road sections can be reasonably utilized, and the reasonable scheduling of the roads is ensured to the maximum extent; in this embodiment, the display system further includes a cloud database configured to upload the mobile data uploaded by each of the vehicles; in addition, the movement data of each vehicle can be detected through a speed measuring device, and if the speed measuring device detects the movement speed or acceleration of the vehicle, the movement data is detected; if the acceleration or the moving speed exceeds a set minimum threshold value, triggering a response to the waiting time of the vehicle; after receiving the response of the waiting time of the vehicle, the statistical unit detects the maintaining time of the vehicle; the navigation device can be arranged on each vehicle and can summarize the speed change of the front vehicle with the cloud database in the running process of the vehicle; the distance detection piece of the navigation mechanism is used for collecting the vehicle distance of the vehicles in the same formed road so as to collect the data of the vehicles; through the matching of the distance detection piece and the time monitoring piece, the distance between the vehicles and the predicted waiting time of the vehicles can be accurately detected; meanwhile, in the detection process, if the waiting time of each vehicle exceeds a set threshold value, the time monitoring part counts the waiting time and transmits data with the cloud database through a communicator or other transmission means; the processor receives a request of each vehicle for a certain road section, and then adopts real-time data in the cloud database corresponding to the road section, so that each vehicle can be accurately navigated or guided, and a congested road section is avoided, thereby realizing shunting and reducing real-time display of smooth road;
the processing device comprises a processing mechanism and an angle acquisition mechanism, wherein the processing mechanism is configured to process data of the acquisition device; the angle acquisition mechanism is configured to detect an acquisition angle of the acquisition device and establish a data space model; the processing mechanism is configured to acquire at least three different azimuthally acquired images of the scene; and based on the processor calculating the measured intensity at a particular image location or pixel as a function of the orientation angle; the data space model is configured to model a spatial location of the vehicle or the road; wherein the position of each vehicle in the road is configured as a model block and a sequence of each model block is calculated; the data space model is further configured to output an indication of a set of one or more filtered interference sequences that are usable to generate at least one automated workflow or information that is usable to improve vehicle sequences; the processing device monitors the vehicles in each acquisition area in real time, processes data based on the data of the acquisition device, and builds the data space model in each acquisition area so that the positions of the vehicles in each virtual lane can be detected; meanwhile, the processing device is matched with the evaluation device for use, so that lane adjustment can be performed on each vehicle, and a model of each vehicle on the data space can be monitored; in this embodiment, the angle acquisition component establishes the model after the data of each vehicle in the lane, and simultaneously establishes the actual position between the vehicles in the data space model through the simulation relation between the model blocks in the process of simulating each vehicle; meanwhile, the processing device can also monitor the processing items such as vehicle traffic collision and the like in real time, and assist the traffic police to process different conditions in the law enforcement process; in the process of acquiring the data in the acquisition area, acquiring scene images acquired at least three different azimuth angles through the processing mechanism; the measured intensity of a specific image position or pixel is calculated based on a processor and is used as a function of a direction angle, so that the accurate establishment of the data space model is realized, and meanwhile, the accurate data processing operation can be performed on congestion or path re-planning in each simulation lane; in this embodiment, the evaluation device further detects traffic flow in a monitored area or the unblocked condition of a road based on the change of the data space model of the processing mechanism or the position relationship among the model blocks in cooperation with the participation between the dynamic lane detection mechanism and the data conditioning mechanism, and establishes a simulated lane so that the lane can be accurately detected; if data change or change among the simulation blocks exists in the data space model of the angle acquisition mechanism, the whole system can trigger an early warning signal for the unblocked condition of the road section, and the early warning mechanism is used for early warning each vehicle running in the lane, or informing the vehicle about to enter the road section to detour or select another running road to be forcefully driven to a destination.
Example three: this embodiment should be understood to include at least all of the features of any of the foregoing embodiments and further modifications thereon; the road unblocked display system based on cloud computing comprises a collection device, an early warning device, an evaluation device, a detection device, a navigation device, a processing device and a processor, wherein the collection device is used for collecting data of a driving path; the early warning device is configured to early warn the driving process of the vehicle and trigger an early warning signal; the evaluation device is configured to estimate a condition of a travel path; the navigation device is configured to perform real-time simulation guidance on each driving path; the processing device is configured to process data of the same node and provide road clear data; the processor is respectively in control connection with the acquisition device, the evaluation device, the detection device, the navigation device, the early warning device and the processing device, and controls the operation of each device based on the centralized control of the processor, so that the effect of real-time display or monitoring of the unblocked road is improved in the process of driving the vehicle on the road; meanwhile, the early warning device and the evaluation device are matched with each other to carry out early warning or estimation on the road or the vehicle; the detection device is matched with the early warning device, detects vehicles running in a detection area, performs data interaction by combining data of the acquisition device, ensures that the smoothness of the road and the vehicles can be accurately detected, and simultaneously transmits the data to each mobile terminal through a communication facility for sharing by each user; the early warning device is matched with the navigation device to early warn specific position data, and the vehicle is guided to run by the guiding operation of the navigation device, so that the efficient utilization of the smooth road is improved; the display system further comprises a pushing device, wherein the pushing device is configured to display or push an early warning signal of the early warning device or an evaluation result of the evaluation device;
the processing device comprises a processing mechanism and an angle acquisition mechanism, wherein the processing mechanism is configured to process data of the acquisition device; the angle acquisition mechanism is configured to detect an acquisition angle of the acquisition device and establish a data space model; the processing mechanism is configured to acquire at least three different azimuthally acquired images of the scene; and based on the processor calculating the measured intensity at a particular image location or pixel as a function of the orientation angle; the data space model is configured to model a spatial location of the vehicle or the road; wherein the position of each vehicle in the road is configured as a model block and a sequence of each model block is calculated; the data space model is further configured to output an indication of a set of one or more filtered interference sequences that are usable to generate at least one automated workflow or information that is usable to improve vehicle sequences; the processing device monitors the vehicles in each acquisition area in real time, processes data based on the data of the acquisition device, and builds the data space model in each acquisition area so that the vehicles are detected at the positions of the virtual lanes; meanwhile, the processing device is matched with the evaluation device for use, so that lane adjustment can be performed on each vehicle, and a model of each vehicle on the data space can be monitored; in this embodiment, the angle acquisition component establishes the model after the data of each vehicle in the lane, and simultaneously establishes the actual position between the vehicles in the data space model through the simulation relation between the model blocks in the process of simulating each vehicle; meanwhile, the processing device can also monitor the processing items such as vehicle traffic collision and the like in real time, and assist the traffic police to process different conditions in the law enforcement process; in the process of acquiring the data in the acquisition area, acquiring scene images acquired by at least three different azimuth angles through the processing mechanism; the measured intensity of a specific image position or pixel is calculated based on a processor and is used as a function of a direction angle, so that the accurate establishment of the data space model is realized, and meanwhile, the accurate data processing operation can be performed on congestion or path re-planning in each simulation lane; in this embodiment, the evaluation device further detects traffic flow in a monitored area or the unblocked condition of a road based on the change of the data space model of the processing mechanism or the position relationship among the model blocks in cooperation with the participation between the dynamic lane detection mechanism and the data conditioning mechanism, and establishes a simulated lane so that the lane can be accurately detected; if data change or change among the simulation blocks exists in the data space model of the angle acquisition mechanism, the whole system can trigger an early warning signal for the unblocked condition of the road section, and an early warning mechanism is used for early warning each vehicle running in the lane, or the vehicle about to run into the road section is informed to detour or another running road is selected to drive to a destination;
the establishment of the data space model comprises a polarization analyzer and a linear polarizer, wherein the polarization analyzer is configured to detect the angle of the detection camera or the acquisition piece of the acquisition device; the linear polarizer is configured to detect an angle of the vehicle in parallel with the lane; the polarization analyzer and the linear polarizer are arranged on one side of the detection camera or the acquisition camera and are used for acquiring data;
by at least 3 different azimuth angles from a polarization analyzer attached to a conventional monitoring camera
Obtaining an image of a scene to improve contrast within shadows of the imaged scene, thereby obtaining model blocks for each of the vehicles; meanwhile, the shadow of each image is carried out, so that the signals influencing the recognition of the vehicle can be effectively filtered; or any other polarization sensitive camera, depending on the orientation angle
Calculating a measured intensity I at a particular image location or pixel, recovering IU, IA and θ for each pixel of the obtained image, where IU is 50% of the total intensity of each pixel in the scene (((Imax + Imin)/2); IA is the 50% ((Imax-Imin)/2) of the intensity difference between the maximum and minimum measured intensities of polarized light depending on the azimuthal angle of the analyzer
Theta is the azimuth angle of the long axis of the polarization ellipse, and IU, IA and theta images are output; if IU is not zero, p picture can be displayed precisely, wherein
Defining a degree of linear polarization at the pixel; according to the orientation angle of one or more polarization-sensitive cameras
The intensity I measured at a particular image location or pixel is calculated according to the following formula:
wherein
Angle of rotation
The reference axis of θ can be arbitrarily selected; also, can provideContrast enhancement for at least one of IU, IA, and θ images;
from three images taken from different orientations, IU, IA, and θ may be recovered for each pixel of the image using the following expressions:
wherein the content of the first and second substances,
0 °, 45 ° and 90 ° represent the directional angles of the polarizer for each specific image acquired;
since the phase blind sensor cannot distinguish between theta and the theta + pi direction, the meaningful range of theta is limited to pi, and thus the range of theta is 0 to pi; a linear polarizer is placed in the optical path of the camera and a rotator mechanism is provided to change/rotate the angle of the linear polarizer, so that 3 polarization angle images can be sequentially recorded; there are several methods of changing the linear polarization angle using a linear polarizer; intensity I measured at a particular image location or pixel and orientation angle of polarization analyzer
Is given by the above equation (1), where θ is the orientation angle of the major axis of the polarization ellipse, IU is 50% of the total intensity of each pixel, and IA is the maximum and minimum measured intensities ((Imax-Imin)/2) of polarized light of each pixel as a function of the direction angle
P ≡ IA/IU defines the angle of the analyzer at the pixel of 50% of the intensity difference, p ≡ IA/IUA degree of linear polarization; two angles can be arbitrarily selected
And a reference axis of θ, and information on a polarization state of natural light can be obtained by capturing an image using polarizers oriented at three different angles;
in this embodiment, the step-by-step processing to be performed includes the following steps:
step 1: digitizing the 3 images if the camera is not a digital camera;
step 2: loading 3 images into the memory of the storage unit of the processor using a suitable computer program;
and step 3: for each corresponding pixel from the images of 3 different polarization angles, IU, IA, θ and p values are calculated using the above equations (1) - (4);
and 4, step 4: outputting 3 images IU, IA, p and theta;
acquiring image data in three directions, inputting corresponding parameters into the data space model, and constructing the relationship among the model blocks, so that the position relationship of each vehicle can be accurately displayed; meanwhile, after the position relation of each vehicle is obtained, the data of each position are displayed through the operation of the early warning device or the pre-estimation device, and the conditions of each road can be obtained through the processing operation of the cloud computing or the cloud server, so that the vehicles can efficiently travel in the driving or path planning process.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Although the invention has been described above with reference to various embodiments, it should be understood that many changes and modifications may be made without departing from the scope of the invention. That is, the methods, systems, and devices discussed above are examples. Various configurations may omit, substitute, or add various procedures or components as appropriate. For example, in alternative configurations, the methods may be performed in an order different than that described, and/or various components may be added, omitted, and/or combined. Moreover, features described with respect to certain configurations may be combined in various other configurations, as different aspects and elements of the configurations may be combined in a similar manner. Further, elements therein may be updated as technology evolves, i.e., many elements are examples and do not limit the scope of the disclosure or claims.
Specific details are given in the description to provide a thorough understanding of the exemplary configurations including implementations. However, configurations may be practiced without these specific details, for example, well-known circuits, processes, algorithms, structures, and techniques have been shown without unnecessary detail in order to avoid obscuring the configurations. This description provides example configurations only, and does not limit the scope, applicability, or configuration of the claims. Rather, the foregoing description of the configurations will provide those skilled in the art with an enabling description for implementing the described techniques. Various changes may be made in the function and arrangement of elements without departing from the spirit or scope of the disclosure.
In conclusion, it is intended that the foregoing detailed description be regarded as illustrative rather than limiting, and that it be understood that these examples are illustrative only and are not intended to limit the scope of the invention. After reading the description of the invention, the skilled person can make various changes or modifications to the invention, and these equivalent changes and modifications also fall into the scope of the invention defined by the claims.
Claims (1)
1. A road unblocked display system based on cloud computing is characterized by comprising a collection device, an early warning device, an evaluation device, a detection device, a navigation device, a processing device and a processor, wherein the collection device is used for collecting data of a driving path; the early warning device is configured to early warn the driving process of the vehicle and trigger an early warning signal; the evaluation device is configured to estimate a condition of a travel path; the navigation device is configured to perform real-time simulation guidance on each driving path; the processing device is configured to process data of the same node and provide road clear data;
the acquisition device comprises an acquisition mechanism and an interaction mechanism, wherein the acquisition mechanism is configured to acquire the condition of a road; the interaction mechanism is configured to collect a condition of the road; the acquisition mechanism comprises an acquisition piece, a steering member and a trigger unit, wherein the steering member is configured to adjust the direction of the acquisition piece; the acquisition component is configured to acquire data of the interaction mechanism; the trigger unit is configured to receive a reception signal of the interaction mechanism; the interaction means comprises a speed detection means configured to detect the speed of a flow of vehicles, a timing unit and a transmission means; the timing unit is configured to time a waiting time of a traffic flow; the transmission means is configured to transmit based on the data of the speed detection means and the time counting unit;
the early warning device comprises an early warning mechanism and a receiving mechanism, wherein the early warning mechanism is configured to trigger an early warning signal based on an evaluation result of the evaluation device during the running process of the vehicle; the receiving mechanism is configured to receive a signal of the evaluation device or the detection device and control the early warning mechanism to trigger an early warning signal through a control instruction; the early warning mechanism comprises a data model and a wireless transmission component, wherein the data model is configured to analyze the data and extract features of one or more regions; classifying each characteristic; the wireless transmission means is configured to receive an early warning signal for the data model and transmit an ultrasonic early warning signal over a transmission link; the data model is configured to combine road condition data associated with one or more regions with the obtained ground data of the ground samples to classify the condition of the road and to trigger an early warning signal;
the early warning mechanism is also used for analyzing based on image data acquired by the acquisition device, analyzing images in each monitoring area in cooperation with the data model, extracting characteristics of one or more areas, and classifying each characteristic so that the data model or the processor can process early warning signals with different characteristics; the wireless transmission means comprises an adjustment configured to adjust the directional drop unit and a directional drop unit; the directional delivery unit is configured to transmit data to a vehicle learning device in a specific direction, so that the early warning signal can warn the vehicle in the area, and a controller of the vehicle can accurately control the predicted transit time; the adjusting part comprises an adjusting rod, an adjusting seat, an adjusting driving mechanism and an adjusting detection part, one end of the adjusting rod is connected with the adjusting seat, the other end of the adjusting rod is in driving connection with the adjusting driving mechanism, and the adjusting seat is connected with the directional throwing unit and rotates along with the rotation of the adjusting seat; the adjustment detection member is configured to detect an angle by which the directional drop unit is rotated; the directional releasing mechanism sends the early warning signal to the vehicle in the acquisition area, and the vehicle can prompt a driver after receiving the early warning signal and feed back the signal to the directional releasing unit;
the evaluation device comprises a dynamic lane detection mechanism and a data conditioning mechanism, wherein the data conditioning mechanism is configured to condition data of the dynamic lane detection mechanism and perform data conditioning operation in combination with data of the acquisition device; the dynamic lane detection mechanism is configured to provide information indicative of a number of virtual lanes in the road and corresponding based on the virtual lanes; the dynamic lane detection mechanism includes dynamic lane markers configured in an equally spaced distribution along a lane and a transmitter; the transmitter is configured to trigger an evaluation of the lane for signals based on each of the dynamic lane markers;
the dynamic lane detection mechanism comprises deviation detection, wherein the deviation detection positions the vehicle positions in the virtual lanes and marks the lanes through the dynamic lane marks, so that the positions of the vehicles are accurately positioned; the dynamic lane markers are configured to be disposed along edges in the lane and to detect a spacing between each of the vehicles; the dynamic lane marker comprises a distance detection piece and a summarizing unit, wherein the summarizing unit is configured to summarize data collected by the distance detection piece and perform data summarizing operation with the data conditioning mechanism through the transmitter; the transmitter transmits the data with the processor or the central processing unit through communication equipment, so that each acquisition area or each monitoring area is accurately acquired; the data conditioning mechanism is configured to monitor data of the occupation condition of the virtual lane, so that the dynamic lane detection mechanism can monitor the departure condition of the vehicle in the lane in real time; the dynamic lane marker is configured as a first number of dynamic marker lanes corresponding to the first number of virtual lanes and a second number of dynamic marker lanes corresponding to the second number of virtual lanes; the data conditioning mechanism is further configured to switch between different dynamic lane markings to identify a first number of dynamic marking lanes of the road segment available for use by the vehicle while controlling the dynamic lane markings to provide first information indicative of the first number of virtual lanes; identifying a second dynamic marking lane number of a road segment available for a vehicle by the dynamic lane marking in one of the collection area or the monitoring area of each location road segment between different locations simultaneously, while controlling the dynamic lane marking to provide second information indicating a second number of virtual lanes of the road segment for warning or predicting the vehicle to enter the collection area or the monitoring area;
the processing device comprises a processing mechanism and an angle acquisition mechanism, wherein the processing mechanism is configured to process data of the acquisition device; the angle acquisition mechanism is configured to detect an acquisition angle of the acquisition device and establish a data space model; the processing mechanism is configured to acquire at least three different azimuthally acquired images of the scene; and based on the processor calculating the measured intensity at a particular image location or pixel as a function of the orientation angle; the data space model is configured to model a spatial location of the vehicle or the road; wherein the position of each vehicle in the road is configured as a model block and a sequence of each model block is calculated; the data space model is further configured to output an indication of a set of one or more filtered interference sequences that are usable to generate at least one automated workflow or information that is usable to improve vehicle sequences;
the establishment of the data space model comprises a polarization analyzer and a linear polarizer, wherein the polarization analyzer is configured to detect the angle of the detection camera or the acquisition piece of the acquisition device; the linear polarizer is configured to detect an angle of the vehicle at a vehicle parallel to the lane; the polarization analyzer and the linear polarizer are arranged on one side of the detection camera or the acquisition camera and are used for acquiring data;
the detection device includes a detection mechanism configured to locate a position of each vehicle and a verification mechanism; the verification mechanism is configured to select a location marker in a detection area based on location data of the detection mechanism; the detection mechanism comprises a plurality of positioning marks and a state detection component, wherein each positioning mark is configured to mark the position of the vehicle, and each positioning mark is configured to correspond to a unique identifier of each vehicle; the state detection means is configured to collect the state of each of the positioning marks;
the navigation device includes a guide mechanism configured to guide a position of the vehicle based on data of the evaluation device, and an offset mechanism; the offset mechanism is configured to monitor parameters of an offset position and movement of the vehicle; the guide mechanism includes a speed detection unit configured to detect a moving speed or an acceleration of the vehicle, and a statistic unit; if the acceleration or the moving speed exceeds a set minimum threshold value, triggering a response to the waiting time of the vehicle; the statistical unit is configured to be based on statistics of the waiting time; the statistical unit comprises a distance detection piece and a time monitoring piece, wherein the distance detection piece is configured to detect based on the distance between the vehicle and the corresponding acquisition area; the time detection member is configured to record a time exceeding the allowable threshold and the early warning threshold.
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