31results about How to "Improve traffic management efficiency" patented technology

The invention provides a road traffic signal control method and system using video to detect pedestrian crossing. The method comprises the steps that S1, a pedestrian video image in a waiting area outside a crosswalk is acquired; S2, when a pedestrian traffic light is red, the number of pedestrians in the waiting area is calculated according to the pedestrian video image, and timing is carried out when the first pedestrian is acquired; S3, whether the number of the pedestrians in the waiting area exceeds a preset number or whether the waiting time of the first pedestrian exceeds preset time is judged, and step S4 is carried out if either is so, while returning to step S2 is carried out if both are not; and S4, the pedestrian traffic light becomes green. According to the invention, the pedestrian video image is acquired through video; the pedestrian traffic light automatically becomes green from red according to the number of the pedestrians or the waiting time; the waiting time of the pedestrians is reduced; and the traffic management efficiency is improved.

The invention provides a method for immediately collecting information of a driving vehicle. The method is realized by operating an electronic radio frequency license plate, a vehicle information writer, a vehicle information reader-writer, video identification equipment and a vehicle information management system. The vehicle information writer is used for inputting vehicle registration information into the electronic radio frequency license plate; the vehicle information reader-writer is used for reporting vehicle management dynamical information to a center database in real time, and backing up the vehicle management dynamical information to a local database; when the driving vehicle drives through an information collecting point, the vehicle information reader-writer and the video identification equipment can conveniently and rapidly read all information of the vehicle, and reports the information to the vehicle information management system through the Internet, so that the validity of vehicles can be rapidly judged by monitoring the passing vehicles, and the illegal and violated vehicles can be detected; and various statistics and analysis can be completed, and various vehicle information data, such as road traffic flow, passing vehicle type, and vehicle operation property at any time period, can be collected in real time, so that an information platform is provided for traffic management departments. The method is applicable to instantly collecting information of a ship and the other objects.

The invention discloses a locomotive ticket-buying and seat all-intelligent recognition system which comprises a seat arranged in a locomotive. The seat comprises a base fixed on a locomotive base plate, the base is connected with a cushion through a rotating shaft arranged on the base. The rear of the cushion is provided with a backrest, the lower end of the backrest is connected with the base through a backrest rotating shaft, a torsion spring is arranged between the cushion and the rotating shaft, a clamping pin connected with a driving mechanism is arranged in the base, and the bottom of the cushion is provided with a clamping hole matched with the clamping pin. A display screen, a loudspeaker, an induction zone and a prompt lamp which are connected with a control system are arranged at the top end of the backrest. The control system is connected with the driving mechanism through a driving circuit, the control system is connected with a locomotive data processing system through a locomotive network system, and the locomotive data processing system is connected with an internet ticket-buying system through a wireless network. The passenger in-place speed is improved, true and false ticket-buying passengers are identified, the passenger management cost is reduced, the management efficiency is improved, the locomotive departing and arrival punctuality is improved, and the service quality is improved.

The invention belongs to the technical field of transportation, and discloses a highway vehicle inspection system and a working method thereof. The highway vehicle inspection system comprises a cloud server and a plurality of vehicle detection modules, wherein the vehicle detection modules are used for acquiring trajectory points of a vehicle, acquiring comprehensive information of the vehicle, and transmitting the trajectory points and the comprehensive information of the vehicle to the cloud server; and the cloud server is used for matching the trajectory points of the vehicle with road information of a highway to obtain a precise trajectory of the vehicle. The highway vehicle inspection system adopts a computer big data processing technology, has the advantages of high intelligence degree and precise detection, can improve the inspection efficiency and improve the passing management efficiency, and can effectively fight against the fee evasion behavior such as the vehicle card exchange, plate faking and fee evasion at a guardrail notch.

The invention discloses a method for predicating degree of reliability of traffic circulation of the arterial highway under snow and ice environments and relates to the field of transportation management. The method comprises the following steps of 1, analyzing journey time of automobiles on a certain section in a certain period of time; 2, taking degree of reliability of the journey time as an index for evaluating stability of the journey time; 3, computing a threshold value of the degree of reliability under snow and ice disasters. By means of the method, traffic circulation conditions of the arterial highway under the snow and ice environments can be judged according to degree of reliability, whether snow and ice disasters happen can be judged, and theoretical support is provided for transportation management.

The invention discloses a method and device for obtaining evidences of rule and regulation breaking of vehicles not running in an alternating mode. According to the method and device, when vehicles enter a merged lane from a main lane or auxiliary lanes, evidences of rule and regulation breaking of vehicles which do not run in the alternating mode are obtained, a vehicle entering a tracking area is tracked, tracking records of the vehicle is generated, video images of the vehicle are captured and stored according to preset conditions, when the tracked vehicle leaves a trigger line in the tracking area, the vehicle is regarded as the current vehicle, whether the current vehicle breaks rules and regulations is judged according to the fact that the current vehicle and the vehicle leaving from the trigger line are from the same lane, if yes, the captured video images of the current vehicle are picked out according to storage index information of the captured video images in the tracking records to form a rule and regulation breaking record, and if not, it is judged that the current vehicle does not break rules and regulations. The device comprises a video tracking module and a rule and regulation breaking judgment module. By means of the method and device, rule and regulation breaking actions can be accurately judged, evidences can be obtained, and work efficiency of traffic management is improved.

The embodiment of the invention discloses an intelligent pedestrian violation behavior management method and a related product, the intelligent pedestrian violation behavior management method is applied to an intelligent traffic system, the intelligent traffic system is connected with at least one camera, the method comprises the steps: acquiring a pedestrian image through the at least one camera,wherein the pedestrian image comprises at least one person; determining a target person in the at least one person according to the pedestrian image, wherein the target person is a violation person;tracking the target person to obtain a video image of the target person; inputting the video image into a preset neural network model to obtain a target face template corresponding to the target person, and obtaining identity information corresponding to the target face template, the preset neural network model being obtained by training a large number of face template images; and sending alarm information to the target person according to the identity information. By adopting the embodiment of the invention, the pedestrian violation behavior management efficiency can be improved.

The invention relates to a method, device and system for detecting a vehicle through an intelligent lamp post and electronic equipment thereof, and the method comprises the steps: collecting the values of the length, width and height of a truck, and measuring and calculating whether the truck is super-high, super-wide or super-long or not; analyzing the truck nuclear weight, and measuring and calculating whether the truck is overweight or not; calling data of the freight car along the way, analyzing and calculating whether the freight car has weight reduction or not, calculating the total weight borne by the road surface in the road section range according to the set road section, and evaluating the traffic safety. The system can monitor, classify and automatically detect whether the trucks in the coverage area of the intelligent lamp post have overload and overrun conditions or not; an off-site contact measurement technology is realized through the intelligent lamp post control centerto monitor, detect and respond to overrun and overload vehicles; on-site law enforcement of law enforcement officers can be reduced, time-consuming and labor-consuming methods such as manual vehicleblocking and fixed detection point detection are avoided and reduced, road safety, freight transport efficiency and traffic management efficiency are improved, and meanwhile supervision cost and driver consumption are reduced.

The invention relates to a vehicle toll evasion identification method, device and system. The method comprises the following steps: acquiring an original pass database and an ETC portal transaction database; screening out at least one vehicle passing record according to the original passing database; performing querying in an ETC portal transaction database according to the vehicle information in the at least one vehicle passing record, and determining corresponding portal transaction data; carrying out time sorting according to the portal transaction data corresponding to the at least one vehicle passing record, and determining transaction record data under each ETC portal; for each piece of transaction record data, determining corresponding suspicious portal transaction data; and determining a corresponding suspected one-vehicle multi-card transaction set according to the suspected portal transaction data, and identifying the condition of vehicle toll evasion according to the card number information and the occurrence frequency of the vehicle information. The vehicle toll evasion identification method, device and system are high in intelligent degree, are precise in detection, can improve the inspection efficiency, and improve the traffic management efficiency.

The invention discloses a road state analysis method based on the automobile electronic identification technology. The method comprises a data collection step, a road section average travel speed calculation step, a road congestion state determination step, a road section average travel time calculation step, a road traffic volume calculation step, a road traffic density calculation step, a road load degree calculation step and a vehicle average delay time calculation step. The method is advantaged in that the method is more economical, more effective, with higher coverage and realizes more comprehensive information collection, more effective support is provided for refined planning and management of urban transportation, through mining calculation and analysis, road state analysis and prediction, traffic service capability evaluation and transportation industry management assistance decision making functions are achieved, advantages of low cost and easy operation are further achieved,and the method is sustainable, dynamic, quantifiable and reproducible.

The invention discloses a traffic monitoring platform and a traffic monitoring system, and belongs to the technical field of traffic monitoring. The traffic monitoring platform comprises a connectingplate, an information acquisition snapshot device and a traffic ground processing center. A support frame group is connected to the inner wall of the connecting plate; the support frame group comprises a first motor; the first motor is connected to the inner wall of the connecting plate; the output end of the first motor is connected with a fixing block. The outer wall of the fixing block is connected with a supporting rod; the supporting rod is connected with a first driving mechanism, the output end of the first driving mechanism is connected with a first supporting plate, the top wall of the first supporting plate is slidably connected with a second supporting plate, the information acquisition snapshot device is connected to the top wall of the second supporting plate, and a second driving mechanism is connected between the first supporting plate and the second supporting plate. According to the invention, traffic conditions can be comprehensively collected, the traffic managementefficiency is improved, parts are simple and durable, and the situation that the system is easy to damage when being used outdoors is avoided.

The invention discloses a traffic fine management method and apparatus based on floats in order to solve problems in the prior art that a large amount of hardware is placed for detection and traffic condition judgment assisting; consequently the cost is high but the transmission control is slow. The method comprises the following steps of receiving GPS data reported by a data acquisition terminal in a real-time manner and marking via corresponding floats for the data acquisition terminal in a map in a real-time manner according to the positions indicated by the GPS data; acquiring preset traffic floats around the current position of the data acquisition terminal and further judging whether to activate an event trigger rule corresponding to a corresponding traffic float respectively according to each preset traffic float position and the data acquisition terminal float position; when an event trigger rule corresponding to one traffic float is determined to be activated, indicating according to the event trigger rule that corresponding execution equipment performs processing for the data acquisition terminal. By means of the above-mentioned method, the traffic management efficiency is improved. A high-efficiency solution scheme is provided for urban road jam and scheduling regulation and control.

The invention discloses an intelligent order sending method and terminal for traffic warning conditions; a two-layer order sending model based on warning condition types and warning condition addresses is constructed based on assignment characteristics of the traffic warning conditions, and a warning order assignment problem is equivalent to a text classification problem. Through machine learning of historical traffic alarm condition order sending data, a set of intelligent order sending method flow meeting traffic alarm conditions is constructed based on a naive Bayesian algorithm and assisted by measures such as a taboo table and a posterior probability threshold value. The method provided by the invention can be applied to the alarm receiving and processing service of the public security traffic police, and can significantly reduce the repeated labor of the traffic police alarm receiving and processing staff, thereby improving the traffic management efficiency and releasing the alarm processing pressure of the alarm receiving staff.

The invention discloses a vehicle violation management system and method, and a storage medium. A camera loaded on a running vehicle shoots running image information of surrounding vehicles, if the running image information comprises violation image information, the violation image information and corresponding violation vehicle information are extracted and sent to a traffic management server, the traffic management server generates a violation request to be confirmed and sends the violation request to a user terminal, a driver or an owner of the vehicle where the camera shooting the violation image information is located confirms the violation image information and the corresponding violation vehicle information through a user terminal, the traffic management server sends the violation image information and the corresponding violation vehicle information to a traffic police national violation system server to generate a violation punishment result, and the violation punishment resultis sent to the traffic management server, so that the traffic management server performs deep learning on the identification of the violation image information. Therefore, the judgment accuracy of vehicle violation behaviors is improved, and the accuracy of violation management is improved.

The invention provides a traffic management system and method. The system includes a receiving module connected with a registered policeman client and receiving traffic condition information sent by the policeman client; a processing module acquiring geographical position information from the traffic condition information, converting the geographical position information into corresponding coordinate point information, locating the coordinate point information in a preset electronic traffic map to obtain a located point, obtaining traffic jam information from the traffic condition information,marking the traffic jam information on the located point, and sending the marked electronic traffic map to an issuing module; and the issuing module sending the received electronic traffic map to theconnected various policeman clients. The traffic management system can report traffic condition information when traffic jam occurs at a location where a traffic police is located, and can converts the processed traffic condition information into the electronic map, and sends the electronic map to various connected policeman clients to timely share the traffic information.

The invention provides a region division prompting method and device, and relates to the technical field of region division. The prompting method specifically comprises the following steps: S1, performing detection through a detection module to obtain a user condition in a current area, and outputting the user condition; S2, receiving the user condition, and judging whether the user condition meets a first preset condition or not: if not, turning to step S3; if yes, turning to step S4; S3, a display module not displaying the prompt content and turning to the step S2; and S4, the display module displaying the prompt content and turning to the step S2. The technical scheme has the beneficial effects that passing vehicles or pedestrians are prompted through the region division prompting method. According to the invention, the problems of traffic jam caused by street vending economy, economic weakening caused by current limiting and the like in the prior art are solved, the regional division prompting method and device are provided, the street vending economy is ensured by adopting the prompting method before street vending, the urban traffic management efficiency is improved, and the urban appearance is maintained.

The invention discloses a traffic monitoring method and device, and relates to the field of intelligent traffic. The traffic monitoring method comprises the following steps of acquiring the traffic monitoring indexes of an intersection, wherein the monitoring indexes comprise at least one of the traffic flow of the intersection, the average vehicle speed of the intersection and the vehicle queuing length of each flow direction; and sending the corresponding reminding information to a set terminal under the condition that the traffic monitoring indexes meet a set condition. According to the embodiment of the invention, the corresponding reminding information can be sent to the related departments in time when the traffic condition appears or possibly becomes abnormal, so that the abnormal traffic condition can be responded in time.