300 results about "Traffic regulation" patented technology

A director is provided to receive source address instances of packets routed through routing devices of a network. The director determines whether any of the reported source address instances are to be deemed as spoof source address instances. The director further determines where filtering actions are to be deployed to filter out packets having certain source addresses deemed to be spoof instances. The director makes its determinations based at least in part on a selected one of a number of consistency measures. The consistency measures may include but are not limited to spatial consistency, destination consistency, migration consistency, and temporary consistency. The consistency measures are evaluated using spatial, destination source address range, migration and timing S/D/M/T distribution profiles of the reported source addresses. In some embodiments, the determinations are based further in view of reference S/D/M/T distribution profiles, which may be an exemplary S/D/M/T distribution profile of a typical non-spoof source address or a historical S/D/M/T distribution profile of the source address.

An on-board vehicle warning system includes a vehicle location detecting section, a traffic regulation retrieving section, an incoming message receiving section, a vehicle information detecting section, a potential violation alerting section. The traffic regulation retrieving section is configured to retrieve information relating to a local traffic regulation corresponding to the location of the host vehicle from traffic regulation data including traffic regulations relating to a plurality of jurisdictions. The potential violation alerting section is configured to determine a potential traffic violation based on the intersection information and the vehicle travel information, and to selectively produce a driver notification to a driver of the host vehicle based upon a determination of the potential traffic violation according to the local traffic regulation corresponding to the location of the host vehicle.

Methods and apparatus for providing an Anti-Flooding Flow-Control (AFFC) mechanism suitable for use in defending against flooding network Denial-of-Service (N-DoS) attacks is described. Features of the AFFC mechanism include (1) traffic baseline generation, (2) dynamic buffer management, (3) packet scheduling, and (4) optional early traffic regulation. Baseline statistics on the flow rates for flows of data corresponding to different classes of packets are generated. When a router senses congestion, it activates the AFFC mechanism of the present invention. Traffic flows are classified. Elastic traffic is examined to determine if it is responsive to flow control signals. Flows of non-responsive elastic traffic is dropped. The remaining flows are compared to corresponding class baseline flow rates. Flows exceeding the baseline flow rates are subject to forced flow rate reductions, e.g., dropping of packets.

Disclosed are a device and method for providing driver tracking and behavior analysis, initiated without concurrent user input, by the presence detection of one or more drivers of the vehicle. Vehicle motion inferred from a location aware device sensor, as well as other driver smartphone sensors and application use are logged and analyzed to determine risk factors associated with identified drivers. Internet data sources are further utilized for associating road conditions and traffic regulations with the logged locations of the vehicle. Logged and analyzed data from the identified drivers is aggregated for reporting on vehicle risk.

The present invention relates to a ‘smart traffic ticket device’ with means to 1) determine the identity of a vehicle; 2) determine the identity of the offending driver; 3) issue traffic tickets according to applicable traffic laws. The smart traffic ticket device comprises of; 1 ) an interrogator in the form of a radiofrequency (RF) reader; 2) communication means comprising of a wireless transceiver, modem and communication ports; and 3) a central processing unit comprising of a processor and memory chip that controls the functioning of the smart traffic ticket device. Transponders, comprising of radiofrequency (RF) tags, are mounted on vehicles; and contain vehicle identification information. Similarly, transponders, comprising of radiofrequency (RF) tags, are present on the driver's license; and contain driver identification information. The RF reader of the smart traffic ticket device has means to interrogate the RF tag on vehicles and the RF tag on the driver's license from a safe distance; both while the said vehicle is at rest and while the said vehicle is in motion. The information thus obtained is used to issue a traffic ticket bearing; 1 ) vehicle identification information; 2) driver identification information and; 3) nature of violation and; 4) the associated fine. According to another aspect of the present invention, the smart traffic ticket device is equipped with a traffic violation sensing device, such as a speed sensor, to form a ‘smart speeding ticket device’ . The smart speeding ticket device has means to 1) identify a vehicle driving over allowed speed limit; 2) determine the identity of the said speeding vehicle; 3) determine the identity of the driver of the said speeding vehicle; and 3) issue a speeding ticket to the said speeding vehicle according the applicable traffic laws.

Methods and apparatus for providing an Anti-Flooding Flow-Control (AFFC) mechanism suitable for use in defending against flooding network Denial-of-Service (N-DoS) attacks is described. Features of the AFFC mechanism include (1) traffic baseline generation, (2) dynamic buffer management, (3) packet scheduling, and (4) optional early traffic regulation. Baseline statistics on the flow rates for flows of data corresponding to different classes of packets are generated. When a router senses congestion, it activates the AFFC mechanism of the present invention. Traffic flows are classified. Elastic traffic is examined to determine if it is responsive to flow control signals. Flows of non-responsive elastic traffic is dropped. The remaining flows are compared to corresponding class baseline flow rates. Flows exceeding the baseline flow rates are subject to forced flow rate reductions, e.g., dropping of packets.

Said invention utilizes computer graphics image processing and computer vision technology to automatically identify the shot static or motion video data in traffic violation process, extracting different formal video image evidence from motor vehicle violation mass data according to violation type, providing an effective recording, storing, searching and polling system and method for violation collecting evidence. Said system includes video unit, main control unit, supplemental lighting illuminator, display, administrative center server, violation punishment public notice.

The invention is an intelligent safe driving system. It is made up of forward vision radar, side-glance radar and antenna, it can detect if there has obstacle in í‹safe rangeíŒ, the distance is decided by the speed, weight, road condition and car lengthwise incline, the received reflected wave signal is identified by the comparator. The obstacle signal is reformed with filter, and it is amplified to execution circuit, actualizes deceleration or brake, in order to upgrades the reliability of signal transmission, the microchip processes the signal received by radar synchronously, the microchip also reads the speed, weight, weather conditions, and other parameters table or works out the í‹safe distanceíŒ.

The invention provides an intelligent method for detecting a traffic accident at night. The method comprises the following steps: acquiring a plurality of monitoring video images of a vehicle during driving at night, and processing the monitoring video images so as to acquire a plurality of binary images; judging car light of the vehicle from the binary images, and determining the position of the vehicle according to the car light of the vehicle; establishing a lane model according to the position of the vehicle, and establishing an image coordinate for the vehicle according to the lane model; acquiring the driving track and driving speed of the vehicle according to the image coordinate and the lane model; and judging whether the vehicle violates traffic regulations according to the lane model, and the driving track and driving speed of the vehicle. According to the intelligent method for detecting the traffic accident at night provided by the embodiment of the invention, the working efficiency of existing road video monitoring is improved, the working strength of monitoring personnel is reduced, and meanwhile traffic delay caused by traffic accidents is reduced so as to prevent secondary accidents.

An online traffic volume monitoring system based on a phase-sensitive optical time domain reflectometry and its monitoring method are related to a field of intelligent transportation and an application of distributed fiber sensing. A vehicle moving temporal-spatial response graph is generated by accumulating differentiated Optical Time-Domain Reflectometry tracks at different moments in one unit monitoring period for traffic volume statistics, and then converted into a vehicle moving trajectory image through binarization and image pre-processing. Parameters of the moving vehicles are detected by utilizing a search-match method. A traffic volume, moving speeds, moving directions and locations are obtained respectively from detected trajectory number, and a tilt angle and pixel positions. The monitoring method is helpful to solve traffic congestion problem and informing drivers of real-time traffic volume, and contributes to realize an intelligent city traffic regulation.

The invention discloses a method for statistically analyzing drivers' habits to establish a service center. A vehicle-mounted terminal can upload running data to the service center regularly, so that the service center can save the data into a database; when the service center receives a request for statistically analyzing drivers' habits from a vehicle manager, a statistics module can summerize the maximum speed, average speed, sudden brake times, running period, idle speed times, idle speed period, over-speed times, over-speed period, fatigue driving times and maximum continuous driving time in a specified period of time; then, the analysis module performs comparison between the statistics and standard levels, so as to conclude such driving habits as whether the driver likes driving at high speed, suddenly braking or using idle speed, the degree of the driver's obedience to traffic regulations, and the importance that the driver attaches to safety. Therefore, the vehicle management unit can perform management for the driver and remind the driver to improve his driving skills.

The invention discloses a system and method for predicting the driving state of a surrounding vehicle based on driving intention. The system includes a feasible trajectory set generation module, a behavior intention generation module, and a predicted trajectory generation module; the feasible trajectory set generation module is used for determining a current drivable lane of a target vehicle to generate a feasible trajectory according to the result of global path planning; a behavior intention interference module is used for predicting the probability of the target vehicle choosing different lanes by analyzing the satisfaction of target vehicle with different lanes, traffic regulations, and the state of the vehicle; the predicted trajectory generation module is used for fusing to obtain apredicted trajectory based on the result of a generated feasible trajectory set and the probability of a corresponding trajectory. The problems of neglecting the interaction between the environment and a driver and dynamically changing of the environment when predicting the state of the vehicle in the prior art are solved.

The invention discloses a high-efficiency and low-cost traffic violation monitoring system and method and mainly solves the problems of high mounting and maintaining costs and small monitoring coverage range of monitoring systems such as an electronic eye in the prior art. By applying a modern computer network technology, each car owner can utilize intelligent equipment such as a mobile phone and an automobile data recorder to prove and report seen traffic offences of others, and the system automatically informs a party of confirming violation evidences, and automatically punishes the people violating traffic rules and gives awards to people putting to the proof after the party confirms the violation evidences. Because proofing is self-confirmed, participation of people does not exit basically in the whole process, and in combination with zero-cost replicability of software, the new cost cannot be increased with the increase of the people for monitoring and proofing, and the high-efficiency and low-cost traffic violation monitoring system can be largely replicated and popularized after being deployed at a time. Therefore, through giving awards to the people for putting to the proof, all people are promoted and encouraged to particulate in monitoring, the monitoring coverage rate of 100 percent can be realized at the low cost, and finally the purpose of promoting all people to consciously observe traffic regulations is achieved.

The invention relates to a side-direction snapshot method for snapshooting the image of traffic roads and a side-direction snapshot electronic police system for snapshooting the image of the traffic road. The method adopts the side-direction camera for snapshooting the traffic road conditions; a control device is installed on the side-direction camera for controlling its turning snapshot angle. The angle of side-direction camera is automatically adjusted under the control of main control unit, which meets the quality requirements. The system adopts a side-direction camera for side-direction snapshots, and the main control unit of the control system analyzes and judges whether a vehicle runs through a red light according to the traffic signals and road information; if a vehicle runs through a red light, the side-direction camera is actuated for side-direction snapshot under the control of side control unit. The method which adopts the side-direction snapshot method to snapshoot the image of vehicles which violates traffic regulations overcomes the deficiency of red light glare disturbing people, and ensures the quality of image snapshot. The method is mainly used for monitoring and administering the road traffic.

A novel method for dynamic load management of random access channels (also known as Aloha channels) in shared communications systems, such as satellite (4), cable, and wireless communications networks is provided. The method provides algorithms and procedures to accurately estimate traffic load offered by multiple distributed terminals (1a, 1b, . . . 1n) into the channel (2). And also provides for regulating traffic so that the channel (2) is not overloaded. The traffic load management algorithms can be done at a central site, such as a Network Control Center (3) or a cable head-end. Alternatively, traffic load management can be done in a distributed manner by all terminals. Traffic regulation is done in a fair manner across all terminals. The algorithms are designed for efficient implementation in software and/or hardware.

The invention discloses a wharf environment based driving track generation system and method, and belongs to the field of automatic driving. Existing driving track generation systems and methods in the field of automatic driving are poor in flexibility and autonomy. Point scattering and sampling on the lateral and longitudinal of a road center reference line according to a certain density can be performed, lateral and longitudinal states are fitted through polynomial, and a polynomial equation is used to describe the driving tracks that a vehicle position drives to each sampling point; scoringis performed on each driving track according to requirements of destination arriving, conformity of traffic regulations, bumping detection passing and stable comfort; after lateral tracks and longitudinal tracks are generated, the lateral tracks and the longitudinal tracks are synthetized, and the optimum planning track according with the requirements is selected. The system is simple in implementation principle and high in stability and can generate safe and feasible driving tracks in real time; and compared with wharf AGV of completely fixed driving lines, the system has high flexibility and can realize obstacle avoidance, vehicle following and other autonomous decisions.

The invention provides a navigation device, a signal lamp control device and an automobile, relates to the field of navigation control, and aims to solve the problem that a vehicle cannot pass through a traffic intersection safely. The navigation device comprises a signal receiver and a processor, wherein the signal receiver is used for receiving current state information of a signal lamp; the current state information of the signal lamp comprises remaining lighting time of the signal lamp; the processor is connected with the signal receiver and used for calculating time T1 when the vehicle arrives at a stop line of a current intersection; and when the time difference between remaining lighting time T2 of the signal lamp for allowing passage and the T1 is larger than a preset experience threshold E1, a first judgment result that a user can pass through the intersection where the current signal lamp is can be obtained, otherwise, a second judgment result that the user cannot pass through the intersection where the current signal lamp is can be obtained. According to the navigation device, the signal lamp control device and the automobile, the efficiency of the vehicle for passing through the intersection is improved, and the problem that the user breaks traffic regulations under the condition that information of an intersection traffic lamp is not known is solved.

The invention discloses a traveling vehicle data recording method, device and system. The method comprises: judging whether vehicles within the view angle violate the traffic regulations; if yes, capturing pictures and/or video data of vehicles violating the traffic regulations, and recording the time and address information at the capturing moment; and storing the captured pictures and/or video data and the time and address information at the capturing moment as traffic violation record data together. According to the technical scheme, the traffic violation action within the view angle can be recorded, such as overspeed and red light running, and moreover, forceful evidences can be provided for assisting the traffic management department in judging the responsibility ascription when traffic accidents occur, facilitating the maintenance of interest of parties and rapid recovery of traffic order and the like.

The invention discloses a driving assistance system for vehicles and a vehicle comprising the driving assistance system. The driving assistance system comprises a positioning unit, a signal acquisition unit and a processing unit, wherein the positioning unit is configured to detect the location of the vehicle; the signal acquisition unit is configured to acquiring environmental information aroundthe vehicle and vehicle information; and the processing unit is configured to determine the current traffic condition of the vehicle traffic regulations and/or rules associated with the current traffic condition based on the detected location of the vehicle; determining the road priority in the current traffic condition according to the obtained environmental information and vehicle information and the determined traffic regulations and/or rules; and providing corresponding guidance for a driver through outputting the determined road priority. Traffic accidents caused by the road priority canbe avoided through providing the exact road priority for the driver.

The invention provides a method and device for detecting vehicle violation. The method includes the steps of detecting a target vehicle in collected images, obtaining a first relative location ratio of a licence plate of the target vehicle to the target vehicle, and according to the first relative location ratio, determining a standard value; in the process of tracing the target vehicle, collecting tracing images, and obtaining the locations of the target vehicle at tracing points of the tracing images; utilizing the locations of the target vehicle at the tracing points of the tracing images to obtain a second relative location of the license plate of the target vehicle to the target vehicle, and judging whether or not the second relative location ratio is equal to the standard value; if not, utilizing the standard value to modify the locations of the tracing points, utilizing the locations of the tracing points after rectification to obtain a trail modification value of the tracing images, and according to the trail modification value of the tracing images, judging whether or not the target vehicle breaks traffic regulations. By means of the locations of the tracing points after the rectification, the trail modification value is obtained, whether or not the vehicle breaks the traffic regulations is judged according to the trail modification value, and therefore the problem ofjudgement errors can be avoided.