835results about How to "Avoid traffic jams" patented technology

A multicast network system is provided with a multicast network unit that delivers data between independent multicast network domains. The multicast network unit includes an extraction part for extracting a multicast delivery destination address from received data, a holder part for holding conversion data where the multicast delivery destination address corresponds to a delivery source address, and a judgment part for judging whether the multicast delivery destination address is held and outputting the result of a judgment. The multicast network unit also includes a filtering part which, when the result of the judgment is holding, converts the multicast delivery source address to an arbitrary delivery destination address and, when it is non-holding, discards the received data. The multicast network unit further includes a transmitter part for transmitting data containing the converted multicast address to the domain.

The invention discloses an on-vehicle traffic light assisting device in the technical field of intelligent transportation, which comprises a traffic light map module, a global positioning system (GPS) module, an image sensor, a traffic light detection and identification module, a lane identification module and a traffic light state display and prompting early warning module. The on-vehicle traffic light assisting device solves the problems of safe driving of groups with visual disturbance such as color weakness, color blindness and the like, can reduce the probability of traffic accidents caused by the running of the red light of a driver under exceptional conditions, and improves transportation efficiency at crossings.

A system and a method to avoid packet traffic congestion in a shared memory switch core, while dramatically reducing the amount of shared memory in the switch core and the associated egress buffers and handling unicast as well as multicast traffic. According to the invention, the virtual output queuing (VOQ) of all ingress adapters of a packet switch fabric are collapsed into its central switch core to allow an efficient flow control. The transmission of data packets from an ingress buffer to the switch core is subject to a mechanism of request / acknowledgment. Therefore, a packet is transmitted from a virtual output queue to the memory shared switch core only if the switch core can send it to the corresponding egress buffer. A token based mechanism allows the switch core to determine the egress buffer's level of occupation. Therefore, since the switch core knows the states of the input and output adapters, it is able to optimize packet switching and to avoid packet congestion. Furthermore, since a packet is admitted in the switch core only if it can be transmitted to the corresponding egress buffer, the shared memory is reduced.

A connected traffic safety system comprises at least one roadside unit and a vehicle detection device. The roadside unit is configured to transmit wireless signals and receive corresponding responses from a corresponding wireless device of an Onboard Unit (OBU)-equipped vehicle, and to send at least one of vehicle location data, direction heading data, elevation data and speed data from the OBU-equipped vehicle to a traffic signal controller. The vehicle detection device is configured to generate vehicle detection data of at least one non-Onboard Unit (OBU)-equipped vehicle. The roadside unit to receive the vehicle detection data for creating a proxy data wireless message for the non-Onboard Unit (OBU)-equipped vehicle. The roadside unit to mimic the proxy data wireless message as a first Basic Safety Message (BSM) for the non-Onboard Unit (OBU)-equipped vehicle that would have been available to the Onboard Unit (OBU)-equipped vehicle present nearby.

The invention discloses a system for intelligent management on the basis of the prediction of future road traffic conditions (speed and flow). The system comprises a data fusion processing module, a mathematic model prediction computation module and a traffic guidance management module based on prediction. The system creates standardized information input by implementing data fusion on the diversified traffic information collected in real-time, judges, by means of historic data, interconnection of road network traffic flows to establish a parameterized statistical model and further computes the traffic conditions (such as speed and flow) of each road in the road network in the coming 90 minutes, wherein, the time precision is consistent with the time interval of the real-time data collection. Then the system further judges and creates quantifiable traffic indicators in accordance with the prediction result, comprising: the traffic jam probability of each road in the future, the time the jammed roads are clear and traffic flow abnormal alarms, thus providing policy support for traffic participants and managers.

A navigation system, traffic prediction method, and traffic prediction program search for a plurality of routes to a destination. The system, method, and program calculate, if any of the plurality of routes passes through a predetermined area, a predicted time at which a link within the predetermined area will be passed through. The system, method, and program generate predicted traffic information for the link at the predicted time at which the link will be passed through based on the stored traffic information.

A connected traffic monitoring system comprises at least one Roadside Unit (RSU) and a traffic signal controller. The roadside unit is configured to transmit wireless signals, receive corresponding responses from a first Onboard Unit (OBU)-equipped vehicle and a second OBU-equipped vehicle and send data from the first OBU-equipped vehicle and the second OBU-equipped vehicle to the traffic signal controller. The traffic signal controller to calculate a distance between the first Onboard Unit (OBU)-equipped vehicle and the second OBU-equipped vehicle in a vehicle queue associated with a traffic light signal on an intersection, determine the queue length of the vehicle queue, determine whether the distance between the first OBU-equipped vehicle and the second OBU-equipped vehicle is greater than a vehicle length and if the distance is determined greater than the vehicle length, detect at least one non-OBU-equipped vehicle stopped in the vehicle queue behind the first OBU-equipped vehicle.

A method and system for collecting and distributing vehicle traffic congestion information is disclosed. The method and system optionally involves deploying probe vehicles or other data sources for collecting and transmitting detailed traffic information which describes vehicle speeds actually being experienced along the routes of interest and transmitting all this information into a central computer at a central traffic data station, where the data are processed.

The invention discloses a vehicle loss determination method based on mobile communication terminal or network terminal, comprising the steps that: after a traffic accident, a party transmits an image of the damaged part and related information of a vehicle to a loss determination service center by wireless communication network; the loss determination center analyzes the image of the damaged part and related information of the vehicle, determinates the loss by a loss determination system; and the loss determination service center submits the loss determination result to the party by wireless commutation network. The party transmits the image of the damaged part and related information of the vehicle to the loss determination service center by wireless communication network, the loss determination service center determinates the loss by the loss determination system, and submits the result to the party by wireless communication network, therefore the invention is capable of assuring instantaneity, reasonability and precision of loss determination.

The invention relates to a signal light linkage control system of an express way ramp outlet and an adjacent intersection in a city. The linkage control system is provided with a linkage control unit which is used for carrying out linkage controlling on an express way ramp outlet signal light at the connecting part of the express way outlet ramp and a side road as well as an intersection signal light arranged on the down stream of the express way outlet ramp adjacent to the express way outlet ramp according to the traffic flow data of the express outlet ramp, thus the traffic jam at the express way outlet ramp is effectively relieved. In addition, the linkage control system guarantees that the travelling of vehicles on the side road on the upper stream of the outlet ramp is not limited by the signal light through controlling the signal light on the side road on the upper stream of the outlet ramp under the condition that the outlet ramp has no traffic jams, thereby the traffic transportation capacity of the side road is effectively improved.

The invention discloses a system for implementing intelligent management based on prediction of future road traffic conditions. The system comprises a data fusion processing module, a mathematical model prediction operation module and a prediction-based traffic dispersion management module. Normalized information input is generated by using real-time acquired multi-source traffic information by a data fusion technology, the internal relation of road network traffic flow is judged through historical data, a parameterized statistical model is established, the traffic conditions (such as speed and flow) of each road section in a road network in future 90 minutes are calculated, and the time accuracy is consistent with the time interval of real-time data acquisition. Quantified traffic indexes comprising jam probability of each road section in future time, smooth traffic recovery time of the blocked road section and traffic flow abnormity alarm are further judged and generated according to the prediction result, so that decision support is provided for traffic participants and administrators.

The invention provides a traffic and travel information service system based on an electronic map. The traffic and travel information service system comprises a traffic system center, a roadside unit,a management terminal and a user terminal, The roadside unit comprises a management roadside unit and an identification roadside unit; The traffic system center is in signal connection with the third-party platform, the management terminal and the user terminal. The user terminal is used for uploading the traffic event monitoring information and the user terminal request to the traffic system center; The management terminal is used for uploading traffic event monitoring information, a management terminal request, a traffic road condition path planning request and a mapping request to the traffic system center; The management roadside unit is used for uploading traffic event monitoring information to the traffic system center, receiving information sent by the management terminal and the user terminal and sending the information to the management terminal and the user terminal; The invention also provides a traffic and travel information service method based on the electronic map, which is carried out by utilizing the system and can ensure smooth and safe traffic and travel and improve the user experience.

The invention provides a parking lot guidance system, a picking up vehicle guidance method and a parking guidance method applying same. The parking lot guidance system is characterized in that: an entrance license plate identifier identifies a license plate number of an entrance vehicle; vehicle number data is formed to output to a control system so as to establish entrance data; the vehicle number data is simultaneously received by a ticket machine and is written in a parking card; when the entrance vehicle is parked in a parking space, the corresponding parking space license plate identifier identifies the license plate number and forms vehicle number positioning data to output to the control system according to a parking space number; the parking space number of the entrance vehicle can be obtained by the control system and is written in the entrance data; a payment machine senses the parking card; the control system reads the entrance data so that the parking space number of the entrance vehicle is output. Thereby, a driver who enters into the parking lot can be assisted to get the parking space number of the vehicle so as to pick up the vehicle rapidly and smoothly.

The invention relates to a vehicle detecting, tracking and identifying system based on multi-camera. The system comprises a plurality of cameras in different places, a detecting module, a tracking module, a feature extraction module and an identifying module, wherein the output ends of cameras are connected with the input end of the detecting module; the output end of the detecting module is connected with the input end of the tracking module; the output end of the tracking module is connected with the input end of the feature extraction module; and the output end of the feature extraction module is connected with the input end of the identifying module. By detecting the traffic flow condition of the road, the invention can provide data support for traffic control, and the traffic managercan formulate a reasonable strategy to avoid traffic accidents or traffic jams.

A vehicle traveling control device includes an acquisition unit that acquires surrounding information on the vehicle; an external situation determination unit that determines whether there is space, into which the vehicle will enter, in the adjacent lane based on the surrounding information on the vehicle; and a vehicle control unit that causes the vehicle to change the lane along a traveling trajectory predetermined to change the lane from the traveling lane to the adjacent lane. The vehicle control unit is configured to move the vehicle along the traveling trajectory and place the vehicle in a waiting state at a waiting position if the external situation determination unit determines that there is not the space, and is configured to move the vehicle from the waiting position to the space if the external situation determination unit determines that there is the space while the vehicle is placed in the waiting state.

The application relates to the technical field of intelligent transportation, in particular to a traffic event notification method and device. The method comprises the steps: collecting road conditioninformation of a target region; and according to the collected road condition information of the target area, detecting whether an abnormal traffic event occurs in the target area; if so, determiningidentification information of a vehicle associated with a current driving path and a target area, and notifying a terminal matching the identification information of the abnormal traffic event occurring in the target area. According to the scheme, the traffic abnormal condition of the road section can be quickly sensed, the abnormal condition of the road section can be timely notified to vehiclesabout to drive into the road section, the traffic jam is prevented, and intelligent traffic is realized.

The invention discloses a traffic time period control method for improving the traffic efficiency of adjacent intersections of main roads. The method comprises the following steps: on the basis of traffic demand distribution information of urban main roads, obtaining main road traffic demand OD information of different time periods each day through the multi-source data analysis technology, obtaining traffic demand amounts, real-time vehicle arrival rates and vehicle queue lengths of entrance lanes of adjacent intersections to be optimized of the main roads during different time periods, andtaking the sum of all OD amounts of all directions of the entrance lanes of the intersections within a certain time period as the traffic demand amount of the direction within the time period. According to the traffic time period control method disclosed by the invention, the signal control of the entrance lanes of the adjacent intersections is optimized based on the historical data traffic information, so that the occurrence of the decline of the traffic capacity of the adjacent intersections can be prevented more effectively, the occurrence of traffic congestion is avoided, the traffic efficiency of the intersections is maximized, the control method is easy to implement, and the traffic time period control method has a wide application range and a good application prospect.

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 fire occurrence determining method and a fire occurrence determining device based on an unmanned aerial vehicle. The fire occurrence determining method comprises the steps that: the system which mainly consists of the unmanned aerial vehicle (UAV), a remote server and a control system on the ground is adopted, the unmanned aerial vehicle flies to a fire alarm region according to GPS position information of a fire alarm point, shoots a field video image and a thermal infrared image of the alarm point, and sends the field video image and the thermal infrared image to the remote server through a 4G mobile cellular network; the remote server receives data and obtains the real-time field video and thermal infrared image; and a result whether a fire occurs is obtained through naked eye identification or subjecting the thermal infrared image to comparison by means of a classifier. The fire occurrence determining method and the fire occurrence determining device can send out the unmanned aerial vehicle timely after receiving an alarm, save a large amount of manpower and material resources of fire fighting, can master field condition of the fire occurrence point quickly, provide reliable and effective real-time information for carrying out the rescue operation, and compensate for the defect that the existing method of confirming fire occurrence lacks of a method of confirming fire occurrence through aerial photography by means of the unmanned aerial vehicle.

A wheel-trap involuntary stop device for motor vehicle letting the motor vehicles stop themselves; the wheel trap is composed of an idler wheel array which is composed of several idler wheels which can roll at original positions in the wheel trap groove; the wheel trap groove is provided with a wheel trap cover plate which is on the plane bearing slide rail; and the cover plate can move forward and backward easily; the cover plate is provided with speed reducing wales which can reduce the wheel speed; the front end of the cover plate is connected by a cable rope and a windlass; the windlass is set in the machine groove on which there is a cover flat with the road. The invention can let the motor vehicles stop themselves; the inevntion is safe and dependable; and the vehicle and stop device will not be damaged; the efficiency of involuntary stop and relieve of involuntary stop is very high; the operation is easy and the energy consumption is low.

The invention relates to a no-card no-parking integrated highway tolling system and method, and the system is compatible with a conventional highway tolling system. Only a server and a client are added to the system, and a high-definition camera and a license plate recognition module are added to a road segment. Moreover, there is no need to replace a conventional system. The system can achieve the real no-parking tolling and quick passing of all vehicles, including a lorry. The system has no card and no OBU vehicle-mounted unit, and there is no need to carry out bigger reconstruction for a conventional lane, including an MTC and an ETC, thereby reducing the operation cost for an enterprise, and reducing the labor intensity of a toll collector. A vehicle which has not paid the last toll only can enter a highway after the toll is paid, thereby reducing the loss of toll. A payment mode is convenient, and a driver can carry out payment through a fixed account and also can change the payment account at any time. The system achieves the specific application of Internet + for the highway.

The invention discloses a reservation type traffic navigation service method and apparatus for a private vehicle. The method comprises: a reservation navigation service center receiving travel information sent by a traveler before departure through a user terminal, the travel information comprising a departure place, a travel destination and predicted arrival time; the reservation navigation service center, according to travel demand information, through combination with various traffic-related information scheduled from a cloud server, calculating a travel scheme for the traveler, the travel scheme comprising departure time and a travel path, the various traffic-related information comprising road information expressing road structures, environment information expressing road environments and traffic information expressing road traffic rules and traffic states; and the reservation navigation service center sending the travel scheme obtained through calculation to the user terminal. According to the invention, on the basis that a conventional road amount is maintained, the travel of the traveler is optimized so that the purpose of alleviating traffic congestion is realized, the utilization rate of traffic travel time is improved, concentration travel is avoided, the travel traffic peak is smoothed, and time and space distribution of traffic demands are more reasonable.

The invention provides a traffic signal light control method and system based on vehicle queuing length measurement. Vehicle flow information is divided into steady flow and combined flow by building a city road combined traffic flow model, and actual vehicle flow information can be accurately simulated. Pixel points in an original map of a digital graph can serve as road coordinates by carrying out digital graph collecting on a road, a sampling time interval is set, digital graph information of the road is collected on a sampling position again when it is detected that a vehicle on the road does not move forward any more in a road go-through cycle, a congestion starting position is obtained, a real-time vehicle queuing length can be calculated according to the distance from the congestion starting point to a detection point by means of a vehicle queuing length computational formula, the operation state of an upstream intersection signal light is controlled according to the real-time vehicle queuing length, and accordingly upstream intersection traffic congestion caused due to the fact that the upstream intersection vehicle enters the congested road is avoided.

The invention relates to a system and method for dispatching and distributing peak traffic hour route resources based on application in advance. The system comprises a digital road net module, a route application module, a parking management module, a central processing module, a route distribution module and a route verification module. The method of the system for dispatching and distributing peak traffic hour route resources based on application in advance comprises the following steps: firstly, a digital road net module is established; next, a user submits a route resource occupying request within 100 days before peak traffic hours or in the peak traffic hours based on the basic load of each road section; the traveling status of a vehicle going to occupy the peak traffic hour route resources is simulated and dispatched according to the submitted route resource occupying request, and then distributed time of going into the road network, a distributed place of going into the road network, a distributed traveling route, a distributed traveling speed and a distributed parking lot are determined; the user drives and parks on the road according to the distributed route resource dispatching and distribution scheme, and finally, the driving and parking conditions of the user are verified.

The invention discloses a vehicle collision risk algorithm and accident pre-warning method, which comprise an on-board unit (OBU), a road side unit (RSU), a traffic information center (TIC) and an information communication unit (ICU). The OBU is used for acquiring vehicle speed, accelerated speed, a steering wheel angle and other parameters, and combining with a road traffic system to acquire a track angle of a vehicle and a real-time distance between two vehicles; the OBU transmits the parameters to the belonged RSU through a DSRC (Dedicated Short Range Communication) technology; the RSU transmits the vehicle parameters in an area to the TIC for risk calculation through an optical fiber / 5G technology; the result is forwarded to the OBU for pre-warning through the RSU. According to the vehicle collision risk algorithm and accident pre-warning method, traffic accidents can be prevented and controlled accurately, and thus the traffic jam and the frequent accidents can be effectively avoided.

The invention discloses a road traffic network emergency evacuation route generation method based on the Internet of vehicles. The method involves a vehicle-mounted device, a roadside device, a network background server device and a vehicle emergency evacuation route decision making model. A wireless data communication module of the vehicle-mounted device broadcasts vehicle information to the roadside device through a wireless network, the roadside device performs statistics on the vehicle information of the road section and the local road network region, and the vehicle information is transmitted to the network background server in a wired data communication mode; a multi-target vehicle emergency evacuation route optimal decision making model is established and resolved by a vehicle emergency evacuation route planning module of the network background server with the minimum evacuation total travel distance, the minimum evacuation travel time and the minimum road section congestion probability as the targets, and an optimal route is obtained to guide vehicles in a dangerous region to be evacuated to a safe region. The road traffic network emergency evacuation route generation method based on the Internet of vehicles has the advantage that a real-time, safe, reliable and efficient emergency evacuation route can be provided for vehicles in the road traffic network.

Disclosed herein is the present invention relates generally to a method of providing an automatic connection service for taxis using a communication network, and more particularly to a method of providing an automatic connection service for taxis using a communication network, in which a client can call a taxi using his mobile phone through a communication network without the client personally ascertaining his position and informing a taxi call service provider his position, a central control office ascertains a client's position and transmits information of an available taxi closest to the client's position to the client by the client accessing the central control office of the taxi call service provider, and the client selects and calls the available taxi, thus enabling the client automatically connect to a selectable taxi.

The invention discloses an urban expressway automatic even detecting and synergetic command dispatching system based on occupation ratio data, which comprises a traffic flow detecting unit, an automatic even detecting unit and a synergetic command dispatching unit, wherein the automatic even detecting unit is connected with the traffic flow detecting unit and is provided with an even research and judgment module; the even research and judgment module receives occupation ratio data transferred by the traffic flow detecting unit, compares the occupation ratio data with a threshold value after calculating the occupation ratio data and judges whether a traffic event happens or not; the synergetic command dispatching unit is connected with the automatic event detecting unit; and the synergetic command dispatching unit is connected with a lane commanding light on the expressway and controls a work indicating state of the lane commanding light. When the traffic event happens, the synergetic command dispatching unit sets the lane commanding light at the upstream of the accident into a no-passing state, and a vehicle positioned on the upstream lane of the accident scene can select other lanes to pass in time, thereby effectively preventing the traffic jam phenomenon caused by the traffic event.

The invention provides an urban traffic network reliability prediction method based on seepage analysis. The method comprises the following steps that step one: the dynamic network of traffic flow ofhistorical periods is constructed; step two: the seepage threshold of an urban traffic dynamic network is calculated; step three: the anomaly value of the seepage threshold mean of each period is calculated and acts as the basis of distinguishing the level of the urban traffic network reliability of the historical periods; and step four, the evolution law of the congestion subgroups in the high-reliability urban traffic operation state and the low-reliability traffic operation state of the historical periods is compared and the real-time urban traffic network reliability is accordingly predicted. With application of the steps, the evolution characteristics and the evolution mechanism of the traffic network reliability of the historical periods are effectively analyzed, and the high-reliability operation state and the low-reliability operation state of the evolution direction of the real-time urban traffic network reliability can be accordingly predicted so as to provide guidance or early warning for the urban traffic manager; and the method has critical support effect for solving the urban traffic congestion and building the smart city.

The invention discloses a multi-intersection traffic signal control method based on heuristic deep Q learning, and mainly solves problems of correlation of training data, incapability of rapid convergence of a traffic light control strategy and low control efficiency in an existing method. The method comprises steps that the urban traffic network information is read, a vehicle traffic state set ofeach intersection is established, and the read urban traffic network information is converted into an adjacent matrix to be stored; a state set, an action set and an action reward value of each intersection are acquired from a vehicle traffic state set of each intersection; according to the state set, the action set, the action reward value and the adjacency matrix, a heuristic deep Q network method is used for continuously executing actions according to the state of each intersection to obtain rewards and then to the next state, and urban road network traffic lights are controlled. The method can improve control efficiency of intersection traffic signal lamps, improves performance of the multi-intersection traffic signal controller, can be used for urban traffic management, and reduces the urban traffic congestion.