1777 results about "Road traffic safety" patented technology

A method is provided for enhancing safety and traffic efficiency for vehicles transmitting information on an expected behavior of a driver of an ego vehicle in response to a stimulus including the steps of (i) sensing a parameter of the stimulus in order to generate a stimulus signal function of the sensed parameter, (ii) monitoring the stimulus signal function of the sensed parameter, (iii) calculating an expected future driver's behavior in response to the stimulus using said stimulus signal, (iv) comparing the expected future driver behavior with a standard driver behavior, and (v) emitting a warning signal to the surrounding of the ego vehicle in case the expected future driving behavior is not a standard behavior. Additionally, a system operating according to said method is disclosed.

The invention discloses an intelligent traffic safety system based on the human condition recognition, comprising a server which supports cloud computing, a plurality of electronic terminals which are installed on an automobile and an electronic terminal installed on a traffic basic facilities, wherein the server, as a cloud computing platform, supplies basic computing and management functions to the whole intelligent traffic safety system, the cloud computing platform is connected with each electronic terminal through a wide area wireless network and / or wired network, every two electronic terminals are connected through a wireless network, and the electronic terminals installed on the automobile are used for recognizing human condition information containing a fatigue state of a driver, a stressed state of the driver, a drinking state of the driver and information on whether the driver is legal or not. The intelligent traffic safety system comprehensively applies a cloud computing technology and an internet of things and supplies strong technical support to development of intelligent traffic cause.

The invention requests to protect a multifunctional V2X intelligent roadside base station system. The system comprises roadside sensing equipment, an MEC server, a high-precision positioning service module, a multi-source intelligent roadside sensing information fusion module and a 5G / LTE-V communication module. An intelligent roadside device integrating C-V2X communication, environmental perception and target recognition, high-precision positioning and the like is designed, and the problem that multi-device information fusion and integration are inconvenient in intelligent transportation is solved. In the system, a C-V2X intelligent road side system architecture and a target layer multi-source information fusion method are designed. Road side multi-source environment cooperative sensing is combined, real-time traffic scheduling of the intersection is realized by using a traffic scheduling module in the MEC server, and communication and high-precision positioning services are providedfor vehicle driving, and finally the target information after fusion processing is broadcasted to other vehicles or pedestrians through a C-V2X RSU (LTE-V2X / 5G V2X and the like) according to an application layer standard data format, so the driving and traffic safety is improved.

The invention discloses driver fatigue state recognition method and system based on information fusion, wherein the method comprises the steps of: acquiring eye state information of a driver, operating state information of a steering wheel and track driving state information of a vehicle; processing the eye state information of the driver, the operating state information of the steering wheel and the track driving state information of the vehicle to obtain fatigue expression information of the driver; and carrying out weighting fusion processing on the fatigue expression information to obtain a fatigue membership degree corresponding to a drive fatigue grade, and obtaining the fatigue degree of the driver according to the fatigue membership degree. The invention improves the reliability and the accuracy of monitoring the driver fatigue state, can reduce the quantity of traffic accidents caused by the fatigue driving of the driver, ensures the road traffic safety, and has strong practicability because the acquisition of multi-source information does not cause the interference on the driving of the driver.

The embodiment of the invention provides a road traffic safety evaluating method and system. The method comprises: establishing a road traffic safety evaluating model by using a factor analysis mathematic model on the basis of a road traffic safety attribute; acquiring a road traffic safety attribute value corresponding to an appointed road segment in an appointed time segment; and analyzing the road traffic safety attribute value of the appointed road segment by using the road traffic safety evaluating model in order to obtain a road traffic safety evaluated result of the appointed road segment. The method and the system solves a problem that a static road traffic safety evaluated result in the prior art cannot reflect a road traffic safety status in real time. The invention relates to the technical field of computers.

The present invention relates to the field of traffic safety, in particular to a judgment and prediction method of driving behavior intention based on the implicit Markov model (HMM), aiming to overcome the defect that the existing driving behavior intention recognition and prediction technology does not take into account the dynamics and continuity of driving behavior, as well as complex behaviors such as lane changing, car following and braking and the like. The judgment and prediction method of driving behavior intention obtains time series segmentation data from cluster analysis of dynamic driving data, the linear direction HMM, lateral HMM and speed classification model are trained respectively, and the obtained identification results are regarded as the observation sequence of behavior recognition layer; Then, off-line training is performed to deal with normal or emergency braking, normal or emergency lane change, normal or dangerous driving behavior, and multi dimensional discrete HMM model; according to the model parameters and the observation sequence, the next time step driving behavior can be predicted. The judgment and prediction method of driving behavior intention takes the complexity and continuity of driving behavior into account and can dynamically judge and predict the driving behavior intention and warn the dangerous behavior, and accordingly can be applied to driving behavior evaluation and driving assistance system.

The invention relates to a traffic safety rescuing system, in particular to an important traffic accident active rescuing system based on the internet of vehicles. The important traffic accident active rescuing system is composed of a vehicle-mounted terminal, a monitoring center upper computer system, an emergency alarming terminal and the mobile internet. When the vehicle speed is higher than or equal to a certain set threshold value, an alarm program is activated by the vehicle-mounted terminal to continuously detect the two variables of the vehicle accelerated speed and the speed-to-zero time, and alarming is triggered when the two variables accord with the designed threshold value; a voice and buzzing alarm is given by the vehicle-mounted terminal to draw attention of pedestrians and nearby residents to acquire fast rescuing from a close distance; alarming information and accident spot information are sent to the monitoring center upper computer system and the emergency alarming terminal through the internet of vehicles, and remote alarming is triggered to acquire accurate and timely rescuing from professional organizations. The traffic safety rescuing system can actively carry out short-range and remote alarming and determine accident spots when the driver is insensible or gets lost, and can greatly shorten accident rescuing time and guarantee life and property safety.

The invention relates to a method and a device for automatically warning road traffic safety, wherein the method comprises gathering video image data which is input by a camera, utilizing scene image which is gathered to build a background model, cutting out foreground image according to the background model which is established, comparing a foreground image model which is cut out with the character of a pedestrian or a vehicle in a preassigned bound, and judging whether the moving target is a pedestrian or a vehicle, if no moving target object is judged out near the crossing point of a side road and a main road, or the moving target is not a pedestrian or a vehicle, the device sends out normal signals, if a moving target near the crossing point of the side road and the main road is judged out to be a pedestrian or a vehicle, and then, the device sends out warning signals, warning a pedestrian or a vehicle to decelerate to run and carefully pass through.

The invention belongs to the technical field of road traffic safety, and in particular relates to a road traffic safety pre-warning method for an expressway. The method comprises the following steps: performing safety pre-warning to vehicles which operate on a section subjected to unfavorable factors or vehicles which are about to drive into the affected section and providing a reasonable safe driving vehicle speed or vehicle distance according to real-time traffic data acquired by multi-source traffic data detectors such as an expressway traffic weather detector and a traffic flow parameter inductor; meanwhile, judging whether jam exists or not according to the detected traffic flow and density; and coordinating density among the sections and the flow of passageway ramps in multiple constraint conditions to ensure uniform density of the sections. Therefore, the operating safety of road traffic is effectively enhanced, the road traffic guidance and management coordination degree can be remarkably enhanced, and a scientific and reasonable pre-warning management decision for a road traffic manager and the optimal safety guarantee for a user are provided to the maximum extent.

A method and system for improving traffic safety when driving a vehicle on a roadway including detecting at least one object in the immediate surroundings of the vehicle, analyzing the at least one detected object, deciding whether the at least one analyzed object is relevant in terms of traffic safety to the driving of the vehicle, and illuminating, via a light source, the roadway with a light pattern indicating the at least one object which is considered to be relevant in terms of traffic safety to the driving of the vehicle, thereby improving traffic safety.

The invention relates to a mountainous road traffic safety dynamic early-warning system which comprises a traffic accident analysis early-warning module, a traffic flow detection module, a road alignment module, a weather forecast module and a variable traffic sign LED display screen, wherein the traffic flow detection module, the road alignment module, the weather forecast module and the variable traffic sign LED display screen are connected with the traffic accident analysis early-warning module. The traffic flow detection module is used for dynamically collecting traffic flow data on the road, the weather forecast module is used for dynamically collecting weather conditions, the road alignment module conducts static collection and is used for collecting the geometrical features of the current road alignment, and the traffic accident analysis early-warning module conducts data real-time interaction with the traffic flow detection module, the weather module and the road alignment module. The mountainous road traffic safety dynamic early-warning system is mainly used for mountainous road traffic safety early-warning and is installed on a place where accidents frequently occur, and traffic accidents such as tailgating, handrail collision and the like when vehicles run on the mountainous road are avoided according to traffic controlling strategies of device output vehicle speed limit, traffic flow control and the like.

The invention discloses a driving vehicle collision early-warning method and a driving vehicle collision early-warning device. The driving vehicle collision early-warning method comprises the steps of: acquiring position information and driving information of a local vehicle, and receiving position information and driving information broadcasted by a remote vehicle within a preset distance of the local vehicle; generating a local prediction driving trajectory of the local vehicle in a preset duration from the present moment according to the local position information and the local driving information; generating a remote prediction driving trajectory of the remote vehicle in a preset duration from the present moment according to the remote position information and the remote driving information; judging whether the local prediction driving trajectory and the remote prediction driving trajectory have a trajectory intersection point or not; and outputting preset collision early-warning information if the local prediction driving trajectory and the remote prediction driving trajectory has the trajectory intersection point. The driving vehicle collision early-warning method and the driving vehicle collision early-warning device provided by the invention have the advantages of being free from the limitation of the field of view in the process of acquiring the position information and the driving information, high in accuracy rate of acquired information, low in cost, capable of forming real-time effective early warning and improving the road traffic safety.

The invention provides a signal lamp state terminal display method and a system based on a cooperative vehicle infrastructure technology. The system comprises a traffic signal machine, a roadside module, a vehicle infrastructure communication module and a terminal device, wherein the traffic signal machine is used for generating signal lamp phase timing information and transmitting the information to the roadside module; the roadside module is used for publishing intersection position information, local MAP information and a real-time SPAT information; the vehicle infrastructure communication module is used for information data interaction between the terminal device and the roadside module; and the terminal device is used for acquiring, processing and displaying the vehicle motion state data and terminal information. The cooperative vehicle-infrastructure technology is used for realizing real-time displaying of the signal lamp state on the terminal device, a driver can conveniently judge the vehicle passing time and the queue time, the road traffic safety is enhanced, the road traffic pressure is reduced, influences from the environment, the vehicle and the driver do not exist, and the system use efficiency is high; and red lamp early warning or automatic control can also be realized, the intersection driving safety is ensured, and a behavior of running the red lamp to break the law can be avoided.

The invention discloses an intelligent traffic system based on light emitting diode (LED) visible light communication, and belongs to the field of intelligent traffic systems. The intelligent traffic system comprises LED traffic lamps, a light emitter and a light receiver, wherein the light receiver and the light emitter are arranged on one vehicle; the light receiver on a back vehicle receives a signal sent by the light emitter on a front vehicle; signals sent by the LED traffic lamps comprise a road condition and traffic lamp conditions; the signal sent by the light emitter comprises a distance between the front vehicle and the rear vehicle and a warning signal; and the light receiver receives the signals sent by the LED traffic lamps and the light emitter. Due to the method, a visible light intelligent traffic network is formed, so that road condition information, the distance between the front vehicle and the rear vehicle, the warning signal and the traffic lamp conditions which are sent by the LED traffic lamps can be received immediately; and therefore, the traffic safety is guaranteed, and the probability of traffic accidents is reduced.

The invention provides a traffic safety pre-warning system for pedestrians using mobile phones. The system comprises mobile terminals arranged in the mobile phones of the pedestrians; on-board units arranged in vehicles; a pedestrian crossing warning light arranged on a pedestrian crossing and used for giving alarm light when receiving a pre-warning instruction sent by a road side unit; and the road side unit arranged at the roadside of a pedestrian crossing of an intersection or a road section and used for analyzing whether conflict occurs between vehicles and pedestrians according to pedestrian dynamic information and vehicle dynamic information in a radiation area, and sending the pre-warning instruction to the mobile terminals of the pedestrians and the on-board units of the vehicles, wherein the pedestrians and the vehicles may have conflict, as well as the pedestrian crossing warning light. The system is arranged on the pedestrian crossing of an unsignalized intersection or road section, so that information sharing between drivers and crossing pedestrians can be realized efficiently and safely; and a unified safety early warning judgment criteria is established, thereby making up for the dangers possibly brought about by sensory differences between the drivers and the pedestrians.

The invention discloses an expressway traffic capacity cooperative regulation and control method based on lane dynamic allocation of CAVs mixed traffic flow, wherein the method comprises the steps: setting a special lane for a networked automatic driving vehicle on an expressway under the condition that the networked automatic driving vehicle CAVs has certain market permeability, and through the constraint of multiple factors, establishing an integer nonlinear lane dynamic allocation model; and dynamically adjusting the distribution of lane rights and the driving data of the vehicle, outputting a change curve of the traffic capacity of the expressway, selecting an optimization solution, feeding back to a traffic control platform, and dynamically adjusting an expressway lane distribution scheme and vehicle driving data management and control in time to realize cooperative regulation and control of the traffic capacity of the expressway. According to the method, the CAVs special lane isreasonably arranged to separate the mixed traffic flow, and meanwhile, the influence of the road service level and a confluence area on the road is considered, so that the designed traffic capacity ofthe basic road section of the expressway meets the actual traffic requirements, and the purposes of improving the traffic efficiency and the traffic safety are achieved.

The invention discloses a method and a device for distinguishing abnormal driving behaviors. The method comprises the following steps: acquiring and storing real-time track data of a vehicle, whereinthe track data includes at least two of vehicle speed, acceleration, vehicle spacing, vehicle deviation distance and lane change frequency; reading historical track data of the vehicle, and performingcalculation to obtain a historical average value of the related track data; calculating a composite function value for distinguishing abnormal driving, and determining the danger level of a driving behavior according to the composite function value; and giving an abnormal driving behavior prompting alarm when the danger level of the driving behavior belongs to abnormal driving. The method provided by the invention is convenient in calculation, high in real-time performance and operability, and capable of effectively preventing abnormal driving behaviors such as drunk driving and fatigue driving so as to improve the road traffic safety.

In order to control traffic and manage traffic safety, the multifunctional equipment provides functions of navigation, collision prevention, electronic charging, guidance of avoiding traffic jam, message of parking space and record of last five driving as well as on spot etc. for drivers by using devices of pinpoint and navigation, device of displaying different outputs and control box (or tools of integrating with wireless mobile communication device). Multifunctional device of controlling traffic includes: road net E control box, driving and navigating devices, intelligent road net system, digital image meter panel, multifunctional display for positioning and wireless mobile communication device etc. Traffic safety devices include: safety device for remote site and safety sensing and imaging devices for near distance.

The invention discloses an AGV traffic avoidance technology applied to an outdoor environment and discloses a corresponding implementation device to achieve traffic safety avoidance between AGVs and between the AGV and social vehicles and pedestrians in the outdoor environment. The technology includes step (1) of automatically generating a path by the AGV and analyzing whether there is an overlapwith the remaining paths of other AGVs, and inserting an avoidance point before the overlapping portion; step (2) of stopping the AGV after the AGV runs to the avoidance point, continuously querying aposition state of the corresponding avoiding AGV, and accordingly determining whether an avoidance area can be entered; step (3) of pre-inserting an avoiding function point for the running AGV, and ensuring that the current AGV with a high priority runs smoothly; step (4) of adopting a mode of transforming traffic lights for the avoidance of the social vehicles and the pedestrians, adding a communication and control module, and performing active control and modification or following an indication of the traffic lights according to the priority of the AGV. A visual recognition module can alsobe added to identify passing identifiers of the traffic lights, thereby judging whether or not the traffic can pass.

The invention discloses an expressway weather monitoring system, relating to the technical field of traffic safety facilities. The expressway weather monitoring system comprises weather monitoring point devices arranged at each road section and district of the expressway, and control terminals arranged at the entrances of the expressway, wherein the weather monitoring point device comprises a main microprocessor, an environment temperature measurement module, a wind direction transducer module, an ice transducer module, a visibility measurement module, a CAN (Controller Area Network) bus transmission and receiving driver, an earth surface temperature measurement module, a clock chip, a GSM (Global System for Mobile Communications) / GPRS (General Packet Radio Service) remote communication module, a wind speed transducer module, an RS 232 communication interface circuit and a CAN bus; and the control terminal comprises a GSM / GPRS remote communication module, a monitoring display module and a PC work station. The invention has the advantages of reliable work, high cost performance and long service life, and is suitable for the application occasion of expressway with complicated environmental conditions.

The invention discloses a collision-prevention control method for a vehicle. The speed of the vehicle itself, the accelerated speed of the vehicle itself, the speed of the front car, the accelerated speed of the front car and the information of the spacing between the vehicle itself and the front car are obtained through the environmental perception capacity of the vehicle, and a steering / brake collision-prevention action decision-making mechanism is constructed. If the current vehicle collision risk degree meets the expression shown in the description and the vertical spacing Dadj between thevehicle itself and the front car is not smaller than the minimum vertical spacing DM-Fd between the vehicle itself and the front car, steering collision prevention is conducted; if the current vehicle collision risk degree meets the expression shown in the description or the current road condition does not meet the steering collision prevention condition, vertical brake collision prevention control is conducted. Through the combination of the steering collision prevention and the brake collision prevention control, it is ensured that the brake collision prevention action or the steering collision prevention action which is highest in safety benefit is selected when the vehicle is in danger, the collision-prevention capacity of the intelligent vehicle is greatly improved, and the road traffic safety level is improved.

The invention belongs to the technical field of road traffic safety, and particularly relates to a highway road traffic safety dark-spot road recognition and early-warning method. The highway road traffic safety dark-spot road recognition and early-warning method is realized based on the historical data of highway traffic accidents. The method analyzes the influence factors and the sensitivity of traffic accidents on the road section of a highway, and judges the traffic safety factor of the road section of the highway in different road, traffic and environment conditions. Meanwhile, based on the method, the dynamic early-warning for the operation safety of the highway traffic flow is realized in combination with the behavior characteristics of drivers on the highway, the performance characteristics of vehicles on the highway, the road condition and the traffic environment. Therefore, the operation safety of the highway traffic is improved, and the accident rate of the highway traffic is reduced.

The present invention relates to an analysis and detection method in the urban public facility and road traffic safety management, in particular, a computer vision-based parking space and illegal lane occupying parking monitoring method. The objective of the invention is to solve the problems of high detection cost and low efficiency of parking space detection and illegal lane occupying parking detection in the prior art. According to the method, when initialization is carried out, standard parking space lines in a parking lot are calibrated, and at the same time, the number of parking spaces is calculated; real-time monitoring and image analysis are performed on the parking lot, so that the conditions of the occupation of the parking spaces are recognized and judged; the number of remaining parking spaces is updated; equipment installed at roadsides is responsible for collecting the movement trajectories of passing vehicles; and whether rule-violating behaviors such as overtime occupation of public roads exist can be monitored.

The invention belongs to the fields of traffic safety and road design. Guidance is provided for the design that different main road flows, bypass flows and the proportions of turning vehicles and the proportions of large vehicles need to correspond to different special turning lanes, and the method adopts the technical scheme as follows: the intersection design and control method for considering turning requirements of large vehicles comprises the steps of: (1) enabling the large vehicles to pass through the intersection running to the upstream part for a distance along the mainline and then turning left, wherein the distance for running to the upstream part is a vehicle accumulation section for special lanes; (2) adopting two-phase signal control; (3) determining the set position of the turning lane and the length of the vehicle accumulation section; and (4) taking a special turning lane as a far leading turning lane in a branch traffic flow organization mode, namely separating the main turning traffic flow from branch straight left traffic flow through signal control in a no left turn or going straight mode adopted by a branch traffic organization. The method is mainly applied to the road design.

The invention discloses a pavement asphalt thickness detection method based on vehicle-mounted laser scanning spot cloud, comprising steps of obtaining spot cloud data, performing data rough registration through choosing a fixed object, using a pavement extraction algorithm based on the road shoulder to respectively detect two sets of the pavement points of the point cloud data, using the road shoulder point to perform precise registration on the data in the block, performing plane structure fitting on the pavement inside the grid, and detecting the asphalt thickness. The invention can fast and accurately detect and modify the thickness of the road asphalt, greatly reduces the processing time and the labor cost, effectively guarantees the road reconstruction quality and provides important data support to the civil traffic safety.

The invention discloses an infrared and visible light image fused automobile anti-blooming video image processing method, solving the traffic safety problem caused by automobile blooming at night from the view of collision object avoidance. The method includes acquiring an infrared image and a visible light image of a night road; performing image registering by taking the infrared image as a reference, enhancing the infrared image and the visible light image; extracting the brightness signal component Y and two chrominance signal components U and V of the enhanced visible light image; fusing Y and the enhanced infrared image wavelet to obtain a new brightness signal component Y'; and subjecting Y' and U and V to YUV inverse transformation to obtain a final color fusion image. The image enhancement processing is added after registration, and the parameters are optimized, the brightness and dark detail information of the fused image are greatly retained and improved while the blooming is eliminated. The method can effectively prevent the collision caused by blooming and is applicable to the automobile anti-blooming filed.

The invention discloses an internet-based unmanned electric automobile service system. The system is composed of a server, a passenger client and a vehicle-mounted information processing apparatus. First of all, information of a starting point where a passing is located and a terminal point which the passenger wants to head for is emitted through the client of the mobile phone of the passenger; a control center server receives and processes the information, emits an instruction to an idle electric automobile nearest to the starting point and simultaneously sends a verification code to the passenger; the idle electric automobile receives the instruction and arrives at the starting point specified by the passenger; the passenger confirms the reserved electric automobile through a license plate number, and after the passenger gets on the automobile and the verification code is successively approved, the electric automobile starts driving; after the terminal point is reached, the passenger confirms that he arrives at the terminal point, an automobile door opens, and the passenger gets off the automobile; and the electric automobile executes a new task or enters to a nearest total garage or a sub garage. According to the invention, point-to-point traffic of city residents is realized by use of a cheapest, safe, efficient and environmental-friendly mode, the traffic cost of the whole society is decreased, environment is protected to the maximum degree, and road traffic safety hidden risks are reduced to the maximum degree.

The invention discloses a method of controlling a priority signal for right-turning vehicles on a straight-going and right-turning shared lane at an intersection. A left-turning guide line is arranged at the entrance of each intersection; a straight-going waiting area of a straight-going and right-turning shared lane is set in the front of the straight-going and right-turning shared lane at the intersection; a group of predicting signal lamps for the straight-going waiting area of the straight-going and right-turning shared lane are arranged near the stop line of the entrance having the straight-going waiting area of the straight-going and right-turning shared lane in the front and are used for controlling motor vehicles on the straight-going and right-turning shared lane to enter the waiting area; after straight-going vehicles on an intersection lane completely pass over a conflict point at the right crossing point with the waiting area of the straight-going and right-turning shared lane in the front, vehicles on the straight-going and right-turning shared lane enter the waiting zone; the main signal lamp is provided with an independent left-turning phase; the phase release sequence of the main signal lamp is straight-going prior to left-turning, so that right-turning vehicles are prior to cross the intersection; and right-turning vehicles can cross the intersection when left-turning vehicles on the intersection lane are released; therefore, the passing efficiency is improved and the delay time is reduced; no pedestrians and bicycles interfere with the running of the vehicles at this moment, so that the traffic safety is improved.

The invention discloses a method and a system for remote fault detection of a traffic signal controller. The system comprises a system consisting of a fault detection module arranged in a box body of the traffic signal controller and a server arranged in a traffic management center, and a program of module operation, wherein the fault detection module is connected with a main controller of the traffic signal controller through an internal bus, performs real-time receiving and processing on state information acquired by the main controller, regularly sends the state information to the remote server according to a format if the normal operation of the controller is detected, and detects the deviation of state parameters for advance accident alarm at the same time; and the fault detection module automatically alarms the remote server through a network if the abnormal state of the controller is detected, submits detailed fault information at the same time, and provides remote connection and state query services. The method and the system can timely and automatically notify related departments for the treatment under the condition of the damaged traffic signal controller, support the real-time state detection and remote fault diagnosis of the signal controller, and can be widely used for guaranteeing traffic safety.

The invention relates to an expressway variable speed limit control method on the basis of an operation state of a traffic flow. According to the real-time change of the state of the traffic flow of an expressway, the speed-limiting value of the expressway is automatically regulated and speed-limiting information is released to a driver by a variable message sign, so that the probability of a traffic accident is reduced and the road traffic safety is improved. According to the invention, real-time traffic flow operation characteristic parameters are acquired by utilizing traffic flow detection equipment; according to various traffic states, the speed-limiting value of a road is automatically regulated; and the defect that the speed-limiting value of the existing road can only be constant is overcome. The dynamic speed limiting method according to the operation state of the traffic flow has practical engineering application value on the aspects of the traffic management and control of the expressway.