861 results about "Traffic reduction" patented technology

The e-Mirrors system promotes a new standard of driving safety views device, which upgrade regular glass mirrors from optical reflective to optoelectronic. The e-Mirrors system overcomes lots problems of conventional mirrors: blind spots, poor rear view, poor object approaching view etc. Variety new design vehicles made in the century 21 need higher standard safety view devices to drive in more & more crowded traffic system since population is growing rapidly. Time to change! Trend to go optoelectronic safety view. The e-Mirrors system integrates ultra night vision multi micro CCD cameras, high definition low distortion Lens, multiple mini LCD panels, New concept design camera mounts, video processor (or switch) all in 1. Each component apply unique design, each view setting has its technique. Using e-Mirrors to fill the absence of central rear mirror in trucks and buses large vehicles, drivers will be stress free. Driving everyday becomes easy, safely and fun! After tested in many vehicles, this e-Mirrors system proofs the most creative and the state of the art safety device since the invention of airbag. Its application will significantly reduce the traffic accidents causing by driver's “did not see it” error every year. Airbags now are legal mandatory devices for motor vehicles. However, airbags deploy to reduce lost of lives only after the collision, not able to reduce traffic accidents. Wish this handy e-mirrors system, cost less than airbags, be the second mandatory device for all vehicles soon!

The invention describes a method and system for communication from one or more anonymous sender(s) and to one or more known recipient(s). This method involves the use of a trusted third party that: receives messages from a sender(s), validates the sender(s) and message destination, removes identifying header information from the message, stores the message for a random time period, and then sends to a defined set of recipient(s), all messages received, in random order. The third party receives messages in various formats and sends messages in recipients' preferred format. By holding messages for a random period of time and then sending them in random order to recipients, the third party diminishes the effectiveness of traffic monitoring activities. This invention is particularly designed for applications where senders are providing qualitative feedback to recipients, including but, not limited to, employee-employer communications, collaborative brainstorming, employee knowledge capture and dissemination, and customer-to-vendor feedback.

A method and apparatus are disclosed for reducing traffic flow instabilities and increasing vehicle throughput by monitoring the distances and velocities of motor vehicles leading and following a center vehicle and controlling the velocities of the vehicles to maintain a steady relative distance between the center vehicle and the leading and following vehicles. Using distance and speed information derived from both leading and following vehicles reduces the loop gain of feedback needed below one (1) and diminishes traffic instabilities caused by “car following.”

A method and apparatus are disclosed for reducing traffic flow instabilities and increasing vehicle throughput by monitoring the distances and velocities of motor vehicles leading and following a center vehicle and controlling the velocities of the vehicles to maintain a steady relative distance between the center vehicle and the leading and following vehicles. Using distance and speed information derived from both leading and following vehicles reduces the loop gain of feedback needed below one (1) and diminishes traffic instabilities caused by “car following.”

The invention relates to a device and a method for automatically monitoring a telephone call behavior of a driver when driving and belongs to the fields of intelligent traffic and aided driving. The device comprises an image acquisition device, a calculating device, a warning device and a wireless transmission device. The method comprises the following steps of firstly acquiring a head and nearby area image of the driver, secondly, obtaining the positions of the face and both hands of the driver in the image by skin color detection, and classifying by a support vector machine to determine whether the driver makes a telephone call or not; warning the driver if the driver makes the telephone call; uploading the image that the driver makes the telephone call to the monitoring center of the road transport bureau through a wireless network if the warning is useless to be used as an evidence that the driver breaks the law. According to the device and the method for automatically monitoring the telephone call behavior of the driver when driving disclosed by the invention, the unlawful act of the driver can be effectively monitored, the working strength of law enforcement personnel is relieved, the working efficiency is improved, and the occurrence rate of traffic accidents is reduced.

An object of the present invention is to pay a toll without stopping a car and without providing a special lane for electronic payment, thereby reducing a traffic jam. The toll payment system comprises a portable telephone on a car, a base station connected with the portable telephone, a server connected with the base station. The server comprises a first memory for storing a location of the base station, a second memory for storing a unit price for each section along the highway and data identifying a contractor or contracted car, a driving route identification unit for identifying a driving route on the basis of the location stored in the first memory and a base station connected under a certain manner, a toll calculation, and a charging unit.

The invention discloses a traffic congestion prediction method and system based on a traffic congestion propagation model. The method comprises: a historical track of a vehicle is obtained and a passing speed of the vehicle when passing through a first road section is calculated; according to the passing speed, a vehicle driving threshold is calculated; if an instantaneous driving speed of the current vehicle is lower than the vehicle driving threshold, traffic congestion is determined; and a road section with the monthly traffic congestion occurrence frequency larger than a predetermined frequency is determined to be a frequent traffic congestion section, a congestion sub graph is generated based on the frequent traffic congestion section, and the congestion sub graph is calibrated based on the probability of concurrence of traffic congestion of all connected sections and then a traffic congestion probability graph model is generated to predict a traffic congestion situation. Therefore, the accurate road traffic state can be extracted by using multi-source track big data, thereby completing the urban traffic congestion propagation analysis and discovering a traffic congestion source. Therefore, traffic congestion occurrence is reduced and the trip cost of the vehicle owner is saved.

The invention belongs to the technical field of vehicle management, in particular a smart urban cloud computing parking management system and an implementation method. The system comprises a parking space monitoring component, a parking lot monitoring unit, a data processing center unit, a remote parking space publishing unit, a remote paring space booking unit and a remote settlement unit. Through the system, events related to parking can be more conveniently managed, an invalid traffic flow produced by looking up a parking space is reduced, the traffic conditions of roads around the parking lot are improved, the traffic pollution is correspondingly reduced, the distribution of the parking demand on time and space is balanced, the utilization rate of a parking facility is increased, the efficiency of the entire traffic system is increased, and the economic vigor of a commercial district is improved.

The invention provides a driver state evaluation system based on an onboard sensor network which comprises a vehicle running state evaluation sensor network, a vehicle driving state evaluation sensor network and a driver physical quality real-time evaluation sensor network. The invention enhances monitoring strength of safety driving, reduces occurrences of traffic accidents and ensures safety and smoothness of road by evaluating driving behavior and physical quality of a driver before driving and during driving.

The invention relates to a method and a system for network protocol recognition based on tri-classifier cooperative training learning. The method comprises the following steps: carrying out IP (Internet Protocol) regrouping and TCP (Transmission Control Protocol) traffic reduction on network original traffic, and stipulating the unit of network data from original packets to flow; extracting each message of unidirectional flow feature information and vectoring to build a feature matrix; building a tri-classifier cooperative training classifier with few identified samples; judging whether a classifying model of an analyzed protocol exists or not, and utilizing a tri-classifier cooperative training learning method to build a protocol classifier if the classifying model does not exist, otherwise, judging the protocol attributes of data packets; training by a tri-classifier cooperative training learning algorithm based on J48 and obtaining the classifying model of the analyzed protocol; carrying out protocol type judgment on network data packets not identified, and outputting two classes of results: one class refers to the network data packets belonging to the target protocol, and the other class refers to network data packets not belonging to the target protocol. High recognition accuracy and high recalling rate are ensured by the method.

The invention discloses a traffic safety sensing network based on mobile information for road intelligent traffic management. The traffic safety sensing network takes a vehicle as a mobile intelligent sensing node and forms into a sensing network with a mobile communication network and a traffic monitoring center. A vehicle-mounted positioning system and a vehicle-mounted sensor immediately acquire the position and the speed of the vehicle as well as the image information in and out of the vehicle, thereby providing real-time road traffic condition information to a traffic monitoring center; and a monitoring vehicle and the traffic monitoring center can perform various information interaction through a mobile communication network. With a vision sensor and a vehicle driving status identifying system, the traffic safety sensing network has the functions for acquiring and processing the image, can realize the functions for monitoring the illegal driving and reappearing the traffic scene, assisting the safe driving of the vehicle, provides a new traffic and vehicle supervising route for the traffic management department, can improve the traffic capability of the road, can improve the driving safety of drivers, and effectively avoids and reduces the personal injury and the economic loss caused by traffic accident.

Disclosed are a system, apparatus, and method for reducing traffic in networked data collection. When data collection is initiated, a server provides a page that includes data fields for completion by a user at the client. One or more of the data fields is configured to respond to changes by transmitting a new value to the server. The server may process the new value and return new data to the client, including an error message, an entry for another data field, or a plurality of entries and a control (e.g., drop-down list, scroll box). The data entry fields may also operate with one another (e.g., data is transmitted to the server only when two or more specific entries are changed). The server maintains an image of the entries so the server may process the entries without re-transmission of a completed form from the client.

The invention discloses an anti-collision method and system under different vehicle conditions, and belongs to the technical field of vehicle safety. The method includes the steps that the vehicle conditions are judged according to the vehicle speed and the corresponding safety distance, and the trajectory calculation quantity, the trajectory computing cycle, and the information sending cycle are determined according to the different vehicle conditions, vehicle trajectories are calculated according to the trajectory calculation quantity, the trajectory computing cycle and vehicle running states, the vehicle trajectories are periodically broadcast, anti-collision detection is conducted through the comparison between the vehicle trajectory of one vehicle and the vehicle trajectories of other vehicles, and if it is detected that a collision possible occurs, an early warning signal is output. The anti-collision method and system under the different vehicle conditions can achieve distinguishing of different risk levels of the vehicles through a vehicle condition determination strategy, targeted anti-collision warming for dangerous vehicles can be conducted, information transmission amount can be reduced through scattering the trajectory calculation to each vehicle, the decision making early warning speed test is improved, the occurrence of the vehicle collision is effectively prevented, and traffic accidents are reduced.

The invention provides an integrated traffic data system based on cloud computing. The integrated traffic data system comprises an acquisition unit, a parking service unit, a transaction processing unit, an operation management unit, an information processing unit, and a data exchange unit. The integrated traffic data system is advantageous in that conditions of various parking stalls are queried by adopting a plurality of ways, and parking flows on roads inside and outside a parking lot and the turnover operation capabilities of the various parking stalls are provided in a real-time manner, and parking stall information selection optimization of vehicle owners is guided and facilitated timely according to real-time information; ineffective traffic flows caused by the vehicles searching for the parking stalls are reduced, and the traffic conditions of the peripheral roads inside and outside the parking lot are improved, and then traffic pressure is reduced correspondingly; unified management of parking in a city is facilitated, and the utilization rate and the turnover rate of the parking stalls are improved, and then parking service transaction efficiency is improved, and management operation costs are reduced; and at the same time, the vehicle owners and users can calculate optimal time in a real-time manner by adopting the technical scheme provided by the invention according to driving conditions, and therefore the trips of the vehicle owners and the users cannot be delayed.

Device for motor vehicles designed to prevent traffic accidents or to reduce their injurious consequences. The extent of injuries in traffic accidents can be reduced significantly by employing the vehicle bumper (1) as a crumple (deformation) zone. A sensor (2) is used to record this distance from and speed relative to an obstacle in the direction of travel. When a collision is unavoidable, one end of the bumper (1) is projected outward by a propellant charge (13) so that, together with a strut (17, 22, 24), if forms a crumple zone ahead of the vehicle. The device can also be provided with a system to warn of dangerous traffic situations, and to brake the vehicle automatically or reduce its speed if the risk of a collision exists. In the case of trucks and buses, the bumper (1) may be deployed by means of a pneumatic cylinder (4) and valve (7), which are controlled by the vehicle's ordinary speedometer. The bumper remains depolyed above a certain threshold speed.

The invention discloses a safety vehicle distance alarming system based on the road environment. The safety vehicle distance alarming system comprises a weather condition detection module, an image acquisition module, an environmental analysis module, a vehicle speed detection module, a vehicle distance detection module, a control module and an alarming module. The environmental analysis module isconnected with the weather condition detection module and the image acquisition module to judge the road surface where a vehicle travels. The control module is connected with the vehicle speed detection module, the environmental analysis module and the vehicle distance detection module and calculates the relation between the theory safe vehicle distance and the actual vehicle distance according to the received vehicle speed, the vehicle distance and the road surface condition, and if the theory safe vehicle distance is larger than the actual vehicle distance, the control module sends an alarming signal to the alarming module. The road surface where the vehicle travels is detected, the relation between the theory safe vehicle distance and the actual vehicle distance is combined, then alarmreminding is conducted, the road surface environment of vehicle actual travelling is fully considered, the characteristics of fast detection speed and alarming sensitivity are achieved, traffic accidents are reduced, and safety of vehicle driving is improved.

The invention discloses a system and method for monitoring and early warning of high-threat vehicles, and belongs to the field of smart vehicle safety early warning. The system comprises an information identification module, a data communication module, an information processing and determining module and an early warning prompting module. The existence of high-threat vehicles is determined by real-time monitoring license plate number information, vehicle speed information and vehicle distance information of front and trailing vehicles to notify the vehicle drivers to decelerate and avoid high-threat vehicles, reducing traffic accidents. Vehicle driving habit information, such as regulation violation historical information, accident processing historical information and vehicle model information, can be obtained according to identified license plate number information. Whether vehicles in the surrounding are high-threat vehicles is comprehensively determined in combination with vehicle speed and vehicle distance information. The determination method is simple and easy to realize, thereby advancing the early-warning time, and lowering accident occurrence probability.

The invention belongs to an intelligent early warning protector for dangerous events. The protector is formed by modular integration design of front detection apparatuses (a distance sensor, a speed sensor and the like), an analysis processing unit and a warning message output unit (a large-decibel high pitch warning horn, a high-lighting danger warning lamp and a light-emitting diode (LED) changeable message warning sign, a wireless signal emitter, a message general interaction interface and the like). By means of an early warning protection method for danger and the intelligent early warning protector for dangerous events for road workers, high-frequency distance detection sampling and speed detection sampling can be performed on a plurality of vehicles in a detection range in vehicle coming directions; approaching objects or persons around sentries are detected in real time, and by means of functions of intelligent analysis, automatic screening and warning to vehicles in the coming directions and events approaching the sentries, the output unit can send warning messages or signals to protected persons by employing different methods according to pre-settings of the protector when the protector detects that dangerous events approach. Time is gained for road work and sentry danger processing, the reaction and processing time is increased, traffic accidents and criminal cases are reduced, and positive significances are provided for guaranteeing lives and properties of people.

The invention discloses a solar intelligent zebra crossing device. The solar intelligent zebra crossing device comprises a solar power supply system, a pedestrian sensing and detecting system, a PLC (programmable logic controller) control system, a zebra crossing LED indicator light system and a voice warning system. When pedestrians go into a zebra crossing area, pressure sensors transmit sensing signals to the control system, the control system judges that the pedestrians walk out of the zebra crossing or to the opposition direction of the zebra crossing. When the pedestrians walk to the counter road via the zebra crossing, LED lamps embedded on the zebra crossing emit conspicuous red light to prompt passing vehicles of no entry so as to avoid the pedestrians in advance. When the vehicles pass and the pedestrians are detected at a starting line of the zebra crossing, the voice warning system can prompt the pedestrians of no entry. The solar intelligent zebra crossing device is powered by solar energy, energy source is saved, cables are not needed to be paved, mounting of the device is convenient, avoiding of the vehicles and safety passing of the pedestrians are facilitated, and traffic potential hazards are reduced.

The invention relates to the field of automobile safe driving, and discloses an intelligent automobile lane change warning system and a warning method thereof. The warning system comprises a front detector, a rear detector, a speed sensor, an angle sensor, a microprocessor, a display screen and an alarm, wherein the front detector and rear detector are used for collecting the driving condition information of a target vehicle; the speed sensor is used for collecting the speed of the vehicle; the angle sensor is used for collecting the turning angle of a steering wheel of the vehicle; the microprocessor is used for processing the driving condition information of the target vehicle and controlling to display the warning information; the display screen is used for displaying the speeds of the vehicle and the target vehicle and the related warning information; and the alarm is used for generating a danger prompt tone. The warning method mainly comprises the following steps of: setting the minimum time headway data and TTC warning time range in the microprocessor; collecting the information of the front and rear vehicles by the detectors; calculating the real-time collision time; displaying the lane change warning information; and generating a lane change forbidding prompt tone. Through the warning system and warning method, accurate lane change information can be provided for the drivers in time so as to reduce traffic accidents.

The invention discloses an alarm device for preventing fatigue driving of a motor vehicle. The alarm device for preventing the fatigue driving of the motor vehicle comprises a single chip microcomputer, and an input interface and an output interface of the single chip microcomputer, and is characterized in that the input interface is connected with a fingerprint recognition device, a face and eyes positioning device, a heart rate monitoring device, a skin surface resistance monitoring device and an alcohol detection device respectively; the output interface of the single chip microcomputer is connected with an alarm device, a vehicle control system, a vehicle-mounted terminal, a card reader and a recorder respectively; the fingerprint recognition device, the heart rate monitoring device, the skin surface resistance monitoring device and the alcohol detection device can be arranged in a key, a safety belt or a steering wheel of the vehicle. The alarm device for preventing the fatigue driving of the motor vehicle has the advantages that the heart rate monitoring device and the skin surface resistance monitoring device can monitor the current state of a driver in real time, timely remind a system whether the driver is going to enter a sleepy period and ensure to give out a system prompt or start the alarm device in first time so as to reduce traffic accidents.

The invention discloses an intelligent dynamic management system of motor vehicles, with powerful functions and wide coverage range. Based on an electronic vehicle brand integrating radio frequency function and a vehicular mobile terminal, by using a current police network system as a platform and integrating terminals of a bayonet terminal for collecting and recording vehicle brand information, police wagon mobile equipment, police hand-hold mobile equipment and the like, the system realizes automatic, intelligent and uniform management for the motor vehicles in China in a stepwise management mode. On one hand, the system can fully use and develop road resources, effectively improves and enhances traffic management level and efficiency, reduces the generation of traffic accidents to the best, relieves pressing traffic pressure in current in China and establishes harmonious and ordered society; and on the other hand, the system basically integrates the current resources, effectively controls cost and is beneficial to enforcement in large range and scale.

The invention discloses an LED optical communication system arranged between a traffic light with an information issue function and a mobile vehicle body. The LED optical communication system comprises a regional traffic information managing and dispatching center, a traffic signal light system, a mobile vehicle-mounted system and a duty traffic policeman temporary information managing and traffic information reporting system. The LED optical communication system has the advantages that by the adoption of the transmission networking mode that traffic information in the form of QR two-dimensional codes is displayed by the LED traffic light and an LED car light, the network structure is simple; the LED traffic light and the LED car light can conduct wireless optical communication with a vehicle-mounted mobile body while conducting information indication, and by means of the feature that the QR two-dimensional codes are large in information storage capacity, the traffic information is issued to relieve road congestion, improve active safety precaution of vehicles and reduce traffic accidents.

The invention relates to a logistics transportation device by pipelines. The system comprises a plurality of pipelines and a master control room. The pipelines form a through network. A plurality of freight transportation vehicles are arranged inside the pipelines and the master control room is used to control the transportation vehicles to transport the goods loaded to a designated location. The invention is highly efficient and space-saving, can reduce traffic jam and transport goods conveniently and rapidly.

The invention discloses a crossing traffic control system, comprising a plurality of signal lamps and a first vehicle detector arranged on each lane stop line in each direction of the crossing as well as a controller, a second vehicle detector arranged at the preset distance after each lane stop line in each direction of the crossing and a monitoring host arranged at far end; wherein the output terminals of the first vehicle detector and the second vehicle detector are connected with the input terminal of the controller, the output terminal of the controller is connected with the signal lamps; and the controller is connected with an optical fiber optical transceiver and carries out fiber optical communication with the monitoring host. The invention also discloses a crossing traffic control method, the controller controls the change of signal lamps by monitoring signal of each vehicle detector. The invention can cause vehicles to be all the way unimpeded at the crossing with less traffic flow, waiting time is saved, and meanwhile special vehicle preferentially passes, and violation of regulation conditions, such as lane changing under violation of regulation and disguised red light running, can be effectively detected and reported, and traffic accident is reduced.

The invention discloses a main road intersection entrance lane vehicle speed control method based on cooperative vehicle infrastructure. The method comprises the steps that by means of a roadside information acquisition and processing module, whether a vehicle passes a stop line or not is calculated according to the distance between the vehicle and a main road intersection, a current running speed and acceleration, and the roadside information acquisition and processing module feeds back a calculation result to a vehicle-mounted information acquisition and processing module and conduct operating recommendation. According to the main road intersection entrance lane vehicle speed control method based on the cooperative vehicle infrastructure, by combining the vehicle-mounted information acquisition and processing module, the roadside information acquisition and processing module, an information communication module, a vehicle speed control recommendation module and a front and back vehicle safe distance warning module, information interaction between vehicles and between the vehicles and roads is achieved, the remaining time of green lights at the intersection, vehicle position, vehicle running state and weather information are integrated, and therefore the running speed of the vehicle is controlled and prompted, and safety warning is conducted on the distance between the front vehicle and the back vehicle; the traffic operation efficiency of the intersection can be improved conveniently, traffic accidents and meaningless accelerations are reduced, it is guaranteed that the vehicles run safely, oil consumption is reduced, and the environment is protected.

The invention discloses an active safety early-warning method for an automobile. The method mainly comprises the following steps of performing image acquisition on information about a front road, a front vehicle and a front pedestrian by using a monocular camera integrated on a mobile phone, performing real-time analytical calculation on the information acquired by the camera so as to estimate results such as the position of a lane where the automobile is located, a distance between the automobile and the front vehicle and whether the pedestrian is in front of the automobile or not by using intelligent processing units such as image analysis and a mode recognition algorithm of the camera of the mobile phone, and displaying the results on a screen of the mobile phone to timely prompt a driver under a dangerous condition and prevent accidents under the condition of fatigue or distraction of the driver. According to the method, the occurrence rate of the accidents can be effectively reduced.

A driving behavior analysis system comprises: a driving image acquisition module used for shooting vehicle surrounding sceneries in the vehicle driving process; a processor used for acquiring vehicle condition data in the vehicle driving process, extracting traffic signs from the vehicle surrounding sceneries shot by the image acquisition module, obtaining the vehicle condition data at corresponding time point or in a corresponding time quantum, analyzing driving behaviors reflected by the vehicle condition data according to the traffic signs, and obtaining the analysis result and corresponding prompt information, wherein the vehicle condition data at least comprises vehicle speed information, turning information and brake information; and a feedback module used for playing the prompt information. The system analyzes driving motions at a time point or in a time quantum with real time obtained traffic signs as reference to make a driver obtain the driving behavior through the prompt information, especially the real time prompt of wrong driving behaviors. Wrong driving behaviors can be corrected by using the system especially suitable for new drivers to reduce traffic accidents.

A new Task Queue Methodology (TQM) is provided for reducing traffic jams and for controlling transportation priority in an Automatic Material Handling System (AMHS). A Stocker Resource Q, under control of TQM, maintains records of stockers that are under control of the AMHS and the availability thereof. For available stockers, a Task-Q under control of a Queue Manager (TQM) is accessed, extracting therefrom records that match available stocker resources. For the available stocker resources, the tasks that are scheduled against these resources are sorted by priority and by longest wait time, resulting in one selected task. For the in this manner selected task, a Move command is issued by the TQM to the Automatic Material Handling System.