96results about How to "Reduce traffic delays" patented technology

A multi-sensory height warning system for informing a driver of a motor vehicle of the proximity of an overhead obstruction in the path of the vehicle that will contact the vehicle that has:

(a) a stationary height measuring device that is activatable by a passing vehicle that exceeds a predetermined height

(b) a signal generator connected to the stationary height measuring device that is activated by the stationary height measuring means when a passing vehicle exceeds a predetermined height and subsequently activates a warning sound generator and lights; and

(c) an overhead physical barrier that is spaced across the roadway a distance after the position of the plurality of lights.

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.

The invention belongs to the field of road traffic sign marked lines, and discloses a method for determining the length of a variable guide lane for a signal control intersection approach. The method comprises the steps of first acquiring traffic data information that the variable guide lane steers in a corresponding direction, then converting obtained traffic volume relevant to a variable guide lane steering lane into an equivalent standard small automobile traffic volume, further utilizing an M/M/N model in the queuing theory to calculate the number of queuing vehicles behind a stop line of the signal control intersection approach according to a multi-path queuing multi-channel system and with combination of an approach lane queuing imbalance coefficient, and lastly converting the vehicle number into vehicle average queuing length in meter to serve as a value of the length of the variable guide lane for the signal control intersection approach. The method for determining the length of the variable guide lane for the signal control intersection approach can enable the vehicles on the upper stream of the variable guide lane to be smoothly driven into the intersection approach so as to improve approach traffic efficiency.

The invention discloses a traffic organization design and control improvement method of intersection passing capacity and road net traffic content in the traffic design and control domain, which is characterized by the following: adapting main road junction peripherial road net to form a micro-circulation system to finish steering task of each direction; adapting the ways such as í‹stop turning left or rightíŒ, í‹one way runningíŒ and so on to simplify the traffic intersection collision to improve the traffic intersection passing capacity; utilizing í‹green waveíŒ to reduce the parking frequency and driving delay. The program is fit for mutual matching of different grades, which realizes the city traffic harmonious development.

In one embodiment, an apparatus, a system or a network (1) sets a discovery period for a node (2B). The discovery period is a time period in which the node (2B) sends a signal (e.g., PSS, SSS, and CRS) necessary for cell detection and radio measurement performed by a user equipment (3A) before a cell (20B), controlled by the node (2B), is to be turned on in order to send a signal (e.g., data signal) for either or both of user data reception and transmission. It is achieved, for example, that the user equipment (3A) is able to detect the signal (e.g., PSS, SSS, and CRS) for cell detection and radio measurement in the discovery period by using legacy behavior of radio measurement.

The invention belongs to the field of intelligent traffic and relates to an urban area traffic signal control method based on short-time traffic flow prediction. The method comprises the following steps of acquiring the traffic state information of each intersection and related lanes by using cameras configured at the intersections; detecting traffic data of the current period based on YOLOv4 video identification; establishing a ConvLSTM model based on historical data according to the flow at the previous moment, predicting the traffic condition of the region in the next period, and correcting and feeding back the traffic condition in real time; establishing a single-point intersection timing model according to the predicted flow data, and solving and optimizing timing; carrying out regional sub-region division on the intersection group according to the intersection association degree; the saturation degree of the intersection being judged by quantifying the effective green light time loss, a regional coordination control model being established, and the current scheme being optimized; a system interface program being written, function visualization being carried out, real-time feedback being obtained, and humanized management being achieved. According to the method, regional linkage control is realized, and accuracy and safety of regional intersection control are improved.

The invention discloses a main line green wave coordination control signal time method for optimizing exhaust gas emission. The method comprises the following steps that first, the basic traffic parameter of a main line is surveyed and obtained, and a vehicle exhaust gas emission calculating platform is initialized; second, the basic parameter of a multi-objective genetic method is set, and a population of the multi-objective genetic method is initialized; third, based on the platform, the adaptive degrees of all individuals in the population are calculated; fourth, the non-domination sequence and the visual adaptive degree of the individuals in the population are calculated, a progeny population is generated through genetic section, genetic cross and genetic variation, and the adaptive degrees of all individuals of the progeny population are calculated; fifth, the population and the progeny population are combined to obtain a new population, the non-domination sequence and the congestion degree of all individuals of the new population are calculated, the individuals are chosen based on the non-domination sequence and the congestion degree, and the next generation population is obtained; six, when evolution algebra is larger than the best evolution algebra, execution of the method is completed, all the individuals with the non-domination sequence being equal to 1 in the last generation population are used as a final noninferior solution to be output, and the timing scheme in which the vehicle average delay and vehicle exhaust gas emission are comprehensively considered is obtained.

The invention discloses a multi-level early warning system and method for a construction area based on vehicle road cooperation technology under a dynamic traffic flow. The system comprises a trafficflow information collection module which is used for collecting traffic flow information of a construction road; an early warning information processing module which is used for obtaining early warning parameter information with combination of the construction position and the vehicle information according to the traffic flow information and for determining whether to sent early warning information with combination of the early warning parameter information; and a vehicle-mounted control module which is used for collecting the vehicle information and sending the vehicle information to the early warning information processing module and receiving the early warning information. The system guides the driver to execute the driving strategy under different traffic conditions by real-time monitoring and tracking of the road traffic state and the current state of the vehicle, effectively controls the random convergence behavior of the vehicle, reduces the traffic delay caused by the random lane change, and improves the traffic efficiency. Meanwhile, through multi-level warning, the possible traffic accidents are reduced and the safety of the construction area is ensured.

The invention discloses a traffic organization and signal control method facing a left-and-right type staggered intersection. The basic principle of the invention is to, by targeting the left-to-right type staggered intersection, optimally use the intersection staggering space and the optimally design the signal timing of the intersection on the basis of the traditional intersection design. The traffic organization and signal control method fully uses the time space resource of the intersection, reduces the purging time in a signal period, and improves the traffic capacity of the left-to-right type staggered intersection. In order to achieve that, the traffic organization and signal control method disclosed by the invention comprises steps of performing data collection on the related parameters of the intersection, performing intersection traffic organization design, performing the intersection signal optimization timing, and determining whether the intersection satisfies the preset condition and chooses the corresponding scheme.

The invention discloses a traffic signal control method and system based on a random strategy gradient, and electronic equipment. The method comprises steps of obtaining the static road network data of at least one control signal intersection; visually drawing a traffic simulation road network according to the static road network data; acquiring real-time traffic operation state data of at least one control signalized intersection; performing parameter check on simulation parameters in the traffic simulation road network according to the traffic operation state data to obtain an optimized traffic simulation road network; inputting a traffic state obtained by observing the optimized traffic simulation road network into a value network to obtain an evaluation value of each signal control scheme in the traffic state; inputting the traffic state into a strategy network to obtain a probability value of each signal control scheme; and updating parameters of the strategy network through a random strategy gradient based on the evaluation value of each signal control scheme in the traffic state and one signal control scheme. According to the method provided by the invention, a problem of dimension explosion of signal control can be solved.

The invention discloses an urban main road left forbidding and left turning protection phase setting method. Firstly the present flow, the number of lanes and signal timing plans of all phases of all intersections are acquired and inputted as for multiple continuous signal control intersections of urban main roads; then the redistribution result of the flow and the number of lanes after the intersection left forbidding or setting the left turning protection phase is calculated, and the green signal ratio and the green light time of each phase of the intersections are calculated according to the redistribution result; and finally a calculation model for the optimal setting location of urban main road left forbidding and the left turning protection phase is established. According to the method, congestion of the main roads caused by large demand of left turning traffic flow of the intersections of the main roads can be mainly alleviated, and the traffic capacity of the intersections of the main roads is ensured to be mutually matched by reasonably setting main road left forbidding and the left turning protection phase so that traffic congestion can be alleviated and the traffic delay can be reduced.

The invention belongs to the technical field of city expressway traffic management, and particularly relates to a traffic event influence range calculation method based on traffic scene radar. The method comprises the following steps of installing the traffic scene radar in an expressway region to be detected, and debugging and setting the detection range; using the traffic scene radar to obtain positioning data of moving vehicles in the detection region; calculating the running speed of the single moving vehicle in the detection region at one time interval; calculating the average running speed of the road section in the detection region at one time interval; adopting a threshold method for judging the traffic event; calculating the duration of the traffic event; obtaining the influence range of the traffic event. The method has the advantages that the influence range of the current traffic event can be fast known, so that a traffic manager can reasonably define the traffic flow division position of the current jamming road, the goals of preventing the occurrence of the secondary accidents and the jamming and reducing the influence of the accidents and the running delay are achieved, and the event disposal decision level of the traffic manager and the intellectualization level are improved.

The invention relates to a multi-intersection signal timing system and method in a network connection traffic environment, and the method comprises the steps that a vehicle-mounted sensor collects thecurrent state information and path planning information of a vehicle, and transmits the collected information to a traffic control center through a road side unit; the traffic control center establishes an MILP optimization model for actively controlling multi-intersection signal timing according to the collected current state information and path planning information of each vehicle, and solvesthe optimization model to obtain a signal timing scheme; and the traffic control center transmits the signal timing scheme to each intersection annunciator, and each intersection annunciator correspondingly executes the signal timing scheme, so that the multi-intersection signal timing process is completed. Compared with the prior art, evolution of the current state and the future state of the individual level of the vehicle is considered, the method is not limited to fixed phase combination and phase sequence, multi-intersection signal timing precision cooperation can be achieved, and vehiclepassing delay is reduced.

An advanced traffic management system for overhead roads is composed of computer detection and control subsystem, a closed-circuit TV subsystem and an emergency phone subsystem, the three subsystems are made up of field devices and a central process system, among which, the field devices collect various site information, the central process systems are connected with the monitor center process system for analyzing and managing various traffic information.

The invention discloses a vehicle operation regulation and control method of an urban road traffic system. The method comprises the steps that S1) a character or voice template is arranged in advance;S2) traffic data is collected and uploaded to a cloud server; S3) the cloud server receives the traffic data, and processes the traffic data on the basis of a neural network algorithm to obtain vehicle flowrate prediction data; S4) the cloud server transmits the vehicle flowrate prediction data to a device in the terminal side; S5) the device in the terminal side receives data returned from the cloud server, stores the data in a local storage device, and processes the data; and S6) whether the vehicle flowrate prediction data exceeds a threshold boundary value is detected, if YES, plan path information generated by the cloud server is issued to the device in the terminal side, and otherwise, the character template is presented in the device in the terminal side. The urban road traffic system can be regulated and controlled intelligently, traffic jam is predicted and prompted, and the driving safety and efficiency are improved.

The present invention provides a method and a terminal for urban road green wave band decision support based on a floating vehicle technology. The method comprises the following steps of: obtaining acrossing position set according to obtained data information of a plurality of floating vehicles, wherein the crossing position set comprises crossing positions of a plurality of traffic lights; according to the crossing position set, obtaining a plurality of road sections; according to the data information of the plurality of floating vehicles, calculating average time of all the floating vehicles passing through each road section, and calculating one traffic flow of each road section; and if one difference of average time of each two adjacent road sections is in a preset first time range andone difference of traffic flows of each two adjacent road sections is in a preset flow range, determining that each two adjacent road sections are road sections being suitable for achieving a green wave band. The method and the terminal for urban road green wave band decision support based on the floating vehicle technology can provide an accurate green wave band road section for various trafficinformation service system so as to effectively improve pass capability of a main road in an urban area, reduce the vehicle parking rate and the traffic delay and guarantee operation efficiency of a road network.

The invention discloses a traffic signal control method based on a traffic flow conflict point occupancy rate at the center of an intersection. The method comprises steps: 1, the occupancy value of atraffic flow conflict point is acquired; 2, the effective green light use time of each traffic flow is calculated; 3, the green light time allocated for each flow under the current signal control scheme is calculated; 4, the invalid green light time of each phase is calculated; 5, the green light time use rate of each phase is optimized according to a control target; and 6, a new signal control scheme is formed. The traffic signal control method based on the traffic flow conflict point occupancy rate at the center of the intersection has the beneficial effects that the green light use condition of each flow can be analyzed and calculated according to the occupancy rate condition of the traffic flow conflict point at the center of the intersection, on the basis, the green light time of eachphase in a signal control scheme is optimized, the use rate of the phase green light time is improved, empty release is reduced, and the traffic delays at the intersection are reduced.