140 results about "Traffic flow control" patented technology

An ultrawideband radio transceiver/repeater provides a low cost infrastructure solution that merges wireless and wired network devices while providing connection to the plant, flexible repeater capabilities, network security, traffic monitoring and provisioning, and traffic flow control for wired and wireless connectivity of devices or networks. The ultrawidebande radio transceiver/repeater can be implemented in discrete, integrated, distributed or embedded forms.

A base station receives signals from highway traffic and sends signals to selected vehicles on the highway to command them to increase/decrease speed or charge lane in order to more closely conform to a virtual model for vehicular use of the highway.

An automatic vehicular traffic flow control technique defines a controlled area, wherein vehicles belonging to different traffic streams contend for occupancy of a conflict zone. A traversal order is computed for the vehicles in the controlled area, wherein the ordered vehicles are assigned to traverse the conflict zone sequentially in accordance with their respective positions in the traversal order. Tracking and tracked vehicles are designated, wherein a respective tracked vehicle immediately precedes each of the tracking vehicles in the traversal order. The tracking vehicles maintain a specified physical relationship with their respective tracked vehicles until the tracked vehicle has traversed the conflict zone. The speed of the traffic streams is increased as necessary so as to achieve a desired throughput through the conflict zone.

Systems and methods for requesting modification of traffic flow control systems that combine satellite position navigation systems and dead reckoning technology with secure radio communications to accurately report a vehicle's real-time location and estimated arrival times at a series of signal lights within a traffic grid or at a distant signal light, while enabling signal controllers to accommodate priority requests from these vehicles, allowing for these vehicles to maintain a fixed schedule with minimal interruption to other grid traffic.

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

The invention discloses an urban rail transit network passenger flow limiting method. The method comprises steps that model hypothesis is carried out; an urban rail transit network model is established; original data collection and processing are carried out; virtual running lines are constructed; network passenger flow distribution is carried out; the network passenger flow is converted into theroute passenger flow; the virtual running line passenger flow is matched to the actual urban rail transit road network; the commercial optimization solver software is utilized for solution; the totalcontrol flow rate, the control flow number, the time section control flow condition and the optimal strategy for coordinated flow control of stations in the rail transit network in the integral morning peak of the stations in the rail transit network are acquired. The method is advantaged in that the number of inbound passengers, the number of passengers waiting on platforms and the carrying capacity of each train in each time section of the rail transit network can be obtained, and the theoretical basis can be provided for developing traffic flow control measures in the rail transit network.

The invention belongs to the field of short-time intelligent traffic control, and particularly relates to a short-time traffic flow control method based on deep learning and spatio-temporal data fusion. The method comprises the steps of: obtaining a data source; analyzing the time and space relevance of the historical data of an intersection; respectively establishing a time dimension GRU model and a space dimension CNN regression model according to the historical data of a prediction checkpoint and the related intersection thereof; fusing output results of the time dimension GRU model and thespace dimension CNN regression model to obtain an adaptive spatio-temporal data fusion model; and counting the prediction result of the adaptive spatio-temporal data fusion model, and sending the prediction result to a traffic department. According to the method, on the space-time level, the space-time dependence of a road traffic flow in a complex road network is analyzed, the network representation learning is used for screening the traffic data, and the screened data is used for inputting the model, so that the accuracy of the traffic flow prediction result of the intersection is improved.

The invention relates to a discrimination and quality control system for multi-edge broadband access service and a method thereof. The system comprises a service strategy application interface, a dynamic service tactical management platform and down flux service strategy actuating equipment, wherein the service strategy application interface is used for enabling a user terminal to send a service strategy service request to the dynamic service tactical management platform, and the request contains service control parameters; the dynamic service tactical management platform is used for making network control strategies according to the service control parameters, and distributing the network control strategies to the down flux service strategy actuating equipment, and the network control strategies contain service quality parameters; and the down flux service strategy actuating equipment is used for receiving and executing the down traffic flow control strategies distributed from the dynamic service tactical management platform, and applying the down traffic flow control strategies to the user terminal. The invention realizes the accurate management and control on the up and down traffic flow of the access network, the collaborative control on various service strategies and the unified management of various service attributes by operators.

The invention discloses an intelligent bridge monitoring method based on traffic flow control, which is characterized in that: the traffic flow control is introduced into bridge monitoring, a method combining monitoring and forecasting analysis of vehicle load flow, forecasting analysis of bridge structural mechanics response, real-time monitoring of bridge structural safety condition and active control of the traffic flow is adopted, and a reasonable vehicle load model is established through monitoring and forecasting analysis of the vehicle load to be on a bridge so as to perform the forecasting analysis of the bridge structural mechanics response and pre-evaluation of safety condition, and control the traffic flow according to a pre-evaluation result; the bridge safety condition is comprehensively evaluated through bridge theoretical calculation and the analysis of a real-time monitoring result, and the traffic flow is controlled according to an evaluation result; and the active control of the traffic control effectively avoids the damage caused by extra bridge load, prolongs the service life of the bridge, and can reasonably control the traffic flow in an allowed range of ensuring bridge operation safety in special conditions such as strong wind, earthquake and the like.

Systems and methods are disclosed for traffic engineering and traffic flow control in a datacenter. Flow agents may be provided at hosts that may be operable to control a rate at which a traffic flow is sent from one point to another within a datacenter to facilitate differing levels of Quality of Service (QoS). The differing levels of QoS may be implemented by differing sizes of bandwidth allocations assigned remotely by a traffic engineering controller. The traffic engineering controller may distribute the differing allocations of bandwidth to the flow agents corresponding to the traffic flows to keep the traffic flow rates within the bandwidth allocation. An augmenting function may also be applied at the traffic engineering controller to maximize bandwidth utilization by checking for unutilized bandwidth and reallocating such bandwidth in accordance with one or more QoS.

The invention discloses a traffic flow car networking system and a traffic flow control method based on a gradient field. The system comprises a vehicle information obtaining device, an information communication network system, a vehicle information processing server and a vehicle auto-driving guidance system. According to the traffic flow car networking system, a new vehicle travel planning and traffic jam solving idea is proposed, the urban traffic flow distribution gradient map is obtained through the obtained vehicle information, and the traffic flow on urban roads is controlled by planning the best travel route according to the principle of the gradient field. According to the traffic flow car networking system, vehicle information is completely obtained, a traffic services center can more completely and intuitively control the traffic flow in real time according to the principle of the gradient field, and can help drives to more perfectly plan the travel route, so that more convenient intelligent services are provided for the drives, and traffic problems are fundamentally relieved.

The invention relates to urban expressway entrance ramp traffic flow control, and provides an urban expressway entrance ramp model-free adaptive control method. The method includes: firstly, establishing a controlled process by regarding an entrance ramp flow as a control input quantity and a traffic flow density as an output quantity; detecting the traffic flow density in real time, determining whether traffic flow density data is lost, correcting the entrance ramp flow of the next moment by employing traffic flow information and the entrance ramp flow of the current moment if not, and rapidly realizing control of the traffic flow density as time goes by; when a controller detects data loss, firstly, compensating the traffic flow density data by employing an estimated value, storing the data in a controlled quantity memory, calculating an error of the density, storing the error in an error margin memory, and further correcting a control scheme; and finally, establishing a control lawto calculate the entrance ramp flow, improving the current control scheme through data compensation, and realizing the control of the traffic flow density by employing the corrected control scheme.

The invention relates to a traffic signal control method and a system based on full induction detection, wherein the traffic signal control method based on full induction detection comprises the following steps: 1) arranging traffic flow acquiring systems at all lanes in the vehicle entrances of a crossroad; 2) setting the signal control parameters for the shortest green light duration, the unit green light extended duration and the longest green light duration; 3) when the current phase green light duration is about to end, and if in a preset time interval, the detector does not detect subsequent incoming vehicles, then, operating the next phase; if subsequent vehicles arrive, then, when every vehicle is detected, extending the duration for the preset unit green light; and if more vehicles arrive in the extended duration, then, extending the green light duration until the green light comes to the preset longest green light duration; and when the longest green light duration is reached, then, no manner whether subsequent vehicles arrive or not, immediately interrupting the passing right of the phase. With the method and the system of the invention, the space distribution of the road vehicles can be adjusted to realize the traffic flow control and to ease traffic jam.

The invention relates to a cluster intelligent traffic flow control system, belonging to the intelligent traffic field. In the system, a microcomputer device is arranged on a single vehicle, a main control CUP interface of the microcomputer device is connected with a wireless data transmission module and a pre-programming input module, information transfer stations are arranged along a road and at a crossroad, a wireless transceiving device of each information transfer station is connected with a computer, the computer is respectively connected with a center monitor station and an intersection signal lamp device through data lines, the powers of all vehicle wireless transceiving devices are same, and each vehicle wireless transceiving device is additionally provided with a power amplification and activation circuit. The invention can realize information exchange among vehicles so that a plurality of vehicles generate cluster intelligence and information is exchanged among a plurality of clusters to realize negotiation among clusters, therefore, the clusters pass through the crossroad with an optimal scheme, and traffic conflict is avoided. The system has simple structure and feasible scheme.

The invention discloses a dynamic intersection motor vehicle traffic signal allocation method. On the basis of the signal lamp group optimization control logic, a single signal lamp group is used as acontrol unit; different green light releasing combinations are dynamically formed according to motor vehicle pass requirements in different directions; limitation of the traditional fixed phase releasing manner is broken through; the method is relatively suitable for an application scene that motor vehicle traffic flow distribution is not balanced ubiquitously in intersections of China; simultaneously, the green light releasing time of each signal lamp group can be adjusted in real time according to the dynamic traffic flow and the queuing length of motor vehicles; the queuing lengths in other waiting directions of an intersection are adjusted and controlled while the current releasing traffic flow green light pass time is effectively adjusted; and stop delay in various pass directions ofthe intersection is effectively reduced while the motor vehicle traffic flow control efficiency is comprehensively improved.

The invention discloses a multi-lane tunnel traffic flow control system based on traffic monitoring. The system comprises components such as a monitoring module, a control module, a signal display module and an emergency processing module. The monitoring module is mainly composed of monitoring equipment with an image memory recognition function, and is used for recording and counting the number of vehicles in each lane at the entrance of a tunnel or inside the tunnel. The control module is mainly used for carrying out analytical processing on data counted by the monitoring module and sending a command for the signal display module and the emergency processing module. The signal display module is mainly composed of an LED signal lamp, and comprises a flashing light lamp, a traffic guidance screen and the like. The emergency processing module is used for triggering to send out an alarm after receiving an accident command sent by the control module and informing a tunnel control department of developing corresponding work. Under the premise of without influencing the existing traffic control system of tunnel, effective control for traffic flow in the tunnel is realized, the traffic environment inside the tunnel is improved, and the traffic efficiency and safety level are improved.

The invention discloses a traffic flow big data-based real-time tunnel monitoring management system and a realization method thereof. The system mainly comprises a tunnel entrance data collection module, a traffic flow parameter statistical analysis module, an optical traffic flow guiding big data analysis unit, a vehicle diverging coordinated control module and an in-tunnel data collection module; traffic flow data acquisition is carried out through the tunnel entrance data collection module; an optimized control method is analyzed and calculated through the traffic flow parameter statisticalanalysis module and the optical traffic flow guiding big data analysis unit; and a corresponding instruction is sent to tunnel entrance traffic signal control equipment to realize coordination. The system is capable of monitoring the traffic flows in tunnels in real time and realizing traffic flow control and adjustment according to traffic flow big data analysis, so as to realize passing safetyin the tunnels and high efficiency.

The invention relates to the traffic flow control field and discloses a road intersection multiple virtual signal linear linkage control system and a control method of the road intersection multiple virtual signal linear linkage control system. The control system comprises a traffic flow detection device arranged at an intersection, linear linkage signal lamps and a linear linkage controller. The traffic flow detection device is used for detecting data of vehicles at the intersection. The linear linkage signal lamps are arranged on entrance lanes of the intersection respectively in the vehicle moving direction in sequence and at intervals. The linear linkage controller controls the linear linkage signal lamps to act in sequence according to detection data of the traffic flow detection device. According to the road intersection multiple virtual signal linear linkage control system and the control method of the road intersection multiple virtual signal linear linkage control system, a multiple-virtual-signal control mode is adopted, according to the real-time traffic condition, linear linkage control is carried out on each entrance lane, loss time in starting a vehicle can be eliminated, driver signal information collecting time and reaction time are reduced, thus the passing capacity of the urban road intersection is boosted and road congestion phenomena are reduced.

The invention discloses a speed time lag feedback control method of a traffic flow following model, and belongs to the field of traffic flow control. According to the invention, a classic optimized speed following model is established under a traffic flow system, and the stability of the optimized speed following model is determined; a classic optimized speed following model is improved through aspeed time-delay feedback control method, and the stability condition of the improved following model containing time-delay feedback control items is determined in combination with the principle of control science; the method further includes determining a value range of a feedback gain coefficient; solving a corresponding stable time delay interval according to a stability switching principle ofa time delay differential equation and a definite integral stability analysis method; designing a controller according to the feedback gain coefficient and the stable time delay interval, enabling theunstable parameter combination of the optimized speed following model to become stable, thus expanding the stable parameter combination interval of the original optimized speed following model, improving the stability of the following model, inhibiting the traffic jam, improving the traffic travel efficiency and the traffic resource utilization rate, and improving the stability of a traffic flowsystem effectively.