819 results about "Road congestion" patented technology

Apparatuses and methods are provided for determining real time traffic conditions. A candidate road is divided into road segments by perpendicular bisectors. A spatial sliding window is positioned over at least a portion of a road segment, wherein the spatial sliding window corresponds to a front end of the road segment in a direction of travel of the road segment. Real time probe data is received from mobile devices in probe vehicles or on travelers of the at least portion of the road segment within the spatial sliding window. The real time probe data is analyzed, and a computer program assists in determining the real time traffic conditions of the at least portion of the road segment within the spatial sliding window. Based on the analysis, the real time traffic conditions are reported.

The invention provides a method and system for acquiring and estimating road conditions based on vehicle-to-vehicle communication. Road condition information of vehicles is acquired through a positioning unit, the road condition information is transmitted to other vehicles through a vehicle-to-vehicle communication unit, road condition information of other vehicles is received, the road condition information is processed through an information processing control unit, road condition congestion degrees are acquired and displayed on an electronic map through different colors, and information sharing between the vehicles can be quickly achieved. The quantity of the acquired road condition information is large, the detailed road congestion condition in a certain region surrounding the vehicles can be acquired, all roads in the region can be covered, consumed time in the whole process is short, road conditions can be updated in real time, and road condition services can be provided for specific persons and positions. Positions and time needing road condition estimation are determined, matched road condition information is acquired from stored road condition information and output, the congestion conditions of the roads at a certain moment can be predicted in advance, and users can conveniently conduct path planning in advance.

The invention discloses a real-time road-condition early warning method of an unmanned vehicle and an apparatus thereof. The method comprises the following steps of collecting driving information of the unmanned vehicle, wherein the driving information includes a destination, current time, speed information, positional information and a planning route; sending the driving information to a cloud server so that the cloud server determines road condition information related to the planning route according to the driving information; receiving the road condition information fed back by the cloud server; according to the road condition information, adjusting the planning route of the unmanned vehicle; and making the unmanned vehicle run according to the adjusted planning route. In an embodiment of the invention, circumvention of the unmanned vehicle to road congestion is realized.

The invention relates to an urban road congestion degree prediction method based on time sequence traffic events. The method comprises the steps of: S1, acquiring historical traffic event data, real-time traffic event data and video monitoring data of an urban road section; S2, identifying traffic congestion forewarning events in the video data through the 3D CNN, and performing data space-time fusion according to the historical traffic events; S3, determining congestion degree classification labels, constructing a time sequence traffic congestion event data dictionary, and screening a training set, a verification set and a test set; S4, establishing an LSTM sequence data classification model, inputting the training set, and iteratively updating model parameters by utilizing a gradient descent method; S5, inputting the verification set into the model with updated parameters, optimizing and adjusting hyper-parameters, and selecting an optimal model; and S6, inputting the test set into the optimal training model, checking the effectiveness of the model, and carrying out road congestion prediction according to real-time traffic monitoring data. According to the method, a sequence dataclassification model is established by using LSTM, and the urban road congestion degree is predicted based on time sequence traffic events.

A method and system for adjusting traffic lights. The method and system can dynamically divide a region according to the road congestion situation and adjust traffic lights in a resulting control region according to the control region, so as to solve the traffic congestion problem. The system for adjusting traffic lights includes: a congestion determining module, a control region determining module and a adjusting module, wherein the control region determining module is configured to determine a control region according to a dispersion demand of a first phase and a dispersal capability of a corresponding phase of an adjacent intersection, and the adjusting module is configured to adjust traffic lights of at least one corresponding phase of an adjacent intersection in the control region so as to relieve the traffic congestion situation at the first phase of the first intersection. Also described is a corresponding method for adjusting traffic lights.

The invention discloses a road traffic condition detection device based on panorama computer vision, comprising a camera device of each measuring point and a microprocessor, wherein the camera device is installed on each road on a road network; the microprocessor is used for evaluating road traffic condition according to the panorama video data of the camera device; and the microprocessor comprises a panorama image acquisition unit, a sampling point, a lane, a lane driving direction customization module, a road congestion state detection module and a road service level judgement module. The invention provides a road traffic condition detection device based on panorama computer vision, which has the advantages of wide detection range, high detection precision, good detection instantaneity and intuitional and clear detection result, is convenient to implement and is convenient to realize on an embedded system; in addition, the road traffic condition detection device has subjective perceptibility index data and objective perceptibility congestion data, and is convenient for each level of road network of a city to comprehensively evaluate the road traffic condition on the aspect of time and space.

The present invention belongs to the data processing technology field, and discloses an urban bus dynamic scheduling optimization method and system. The method comprises: on the basis of obtaining information such as degree of congestion of a bus, a road congestion condition, bus real-time location and the like, establishing a three-layer scheduling decision model comprising a time frame bus-times model, a departing time decision model and a path changing model; realizing information interaction of people, vehicles and roads through an internet technology; determining optimal time frame bus times through the time frame bus-times model from the beginning of balancing bus operating cost, passenger waiting time and riding comfort; taking the maximum total meeting times and the minimum total meeting stations of an area as a target regulation departing moment through the departing time decision model so as to effectively reduce the probability of transferring and waiting; and employing the idea of being far away from a jamming road by employing the path changing model to effectively improve the running speed and reduce the following station passenger waiting time, and arranging response stations to allow passengers having missed the stations to get off.

The invention discloses a method and apparatus for analyzing road congestion state and detecting illegal parking. The device is composed of at least one detection matrix; the detection matrix is composed of a power source module, a detection matrix operation ARM processor, a matrix data storage chip, a wireless data transmission module, sampling ARM processors and infrared ranging sensors; the infrared ranging sensors are spliced together in a row*column manner, so that the detection matrix can be formed; according to the detection matrix, the distance from the detection matrix to the surface of a road is measured through the infrared ranging sensors, so that whether illegal vehicles or vehicle behaviors exist on the road can be judged; the infrared ranging sensors in each row are at least connected with one sampling ARM processor; the sampling ARM processors communicate with the detection matrix operation ARM processor; and therefore, summary operation of sampling data and recognition and judgment of vehicle behaviors can be completed. With the method and apparatus of the invention adopted, the behaviors of the vehicles on the road can be detected real time, and decision-making basis can be provided for traffic management departments in road unblocking and traffic optimization.

The invention discloses an intelligent transportation anti-congestion method. The method comprises the steps that a vehicle-mounted terminal detects the speed of a vehicle and determines the position of the vehicle; a server side receives speed and position data sent by the vehicle-mounted terminal; the server side calculates road congestion indexes according to the speed and position data; the vehicle-mounted terminal receives the data of the server side and displays road congestion conditions; and the navigation of the vehicle-mounted terminal plans to avoid congestion sections according to the road congestion conditions. The invention further discloses an intelligent transportation anti-congestion device. The device comprises the vehicle-mounted terminal, the server side and a traffic light controller. The server side comprises a server. The server is connected with a first network communication module, a second network communication module, a road congestion index calculation module and a statistical analysis module and performs data interaction and control. According to the intelligent transportation anti-congestion system and device, the characteristic of accurate positioning of the vehicle-mounted terminal is adopted, road selection is facilitated for users, and meanwhile, working conditions of traffic lights can be adjusted intelligently.

The invention discloses an automobile use right sharing device, a control device and an intelligent automobile. The automobile use right sharing device comprises an information receiving module, an authorization data generating module and an information transmitting module, wherein the information receiving module is used for receiving automobile use right application information of an automobile use right applicant and automobile authorization result information of an automobile owner; the authorization data generating module is used for associating pre-stored characteristic information of the automobile use right applicant with automobile information to generate authorization data after receiving the automobile authorization result information agreed by the automobile owner; and the information transmitting module is used for transmitting the automobile use right application information when identity information of the automobile use right applicant passes through the verification, transmitting the automobile authorization result information when the automobile authorization result information is received and transmitting the authorization data. According to the technical scheme provided by the invention, automobiles are rapidly and reliably shared, the traveling mode is optimized, the traveling experience is improved, the traveling efficiency is increased, the traveling cost is reduced, and social problems, such as automobile tail gas pollution, road congestion and the like, due to the increasing of the automobiles are solved.

The invention discloses a road congestion determination method, a terminal device and a computer readable storage medium. Target convolution features of a to-be-processed road image is extracted by apreset neural network model; the target convolution features are substituted into a classification decoder, a detection decoder, and a segmentation decoder respectively to obtain a classification result, a position result, and a semantic segmentation result; according to the classification result, the position result, and the semantic segmentation result, a road surface area coordinate and a vehicle area coordinate in the to-be-processed road image are determined; road congestion information of the to-be-processed road image is determined based on the road surface area coordinate and the vehicle area coordinate. Therefore, the accuracy of the road congestion determination is improved; the processing time of the road congestion determination is shortened; the interference by the external environment is eliminated; and the road congestion can be determined reliably in real time.

The invention discloses a road traffic congestion index calculation method based on a fixed detection device. The method comprises the steps that data collected by the fixed detection device are compared and processed by using a period of 5 to 10 minutes, so as to acquire a representative speed value and travel time of the road in a time period; and a congestion index calculation formula is used to convert the speed value and travel time into a road traffic congestion index to acquire the current traffic congestion of the road. According to the invention, the traffic congestion index of the road network is calculated through parameters such as the length of the road, the travel time, the speed, the number of lanes, the free travel speed, the occupancy rate and the flow rate; travel delay time is used to reflect the traffic congestion index, and the traffic congestion index is closer to the congestion feeling of a driver; the calculation of the road congestion index can provide automatic input parameters for an urban intelligent traffic light signal controller; automatic traffic light control is realized; and the road use efficiency and the work efficiency of a traffic management department are improved.

The invention discloses a vehicle density sensing system and a vehicle density sensing method based on inter-vehicle communication. By sensing and predicting the vehicle position information, spreading and displaying of information is realized based on the inter-vehicle communication, the demand of a driver on the front real-time traffic information in the vehicle running process is satisfied, and reference is provided for the driver to brake and move around in advance, thus the driving safety of the driver is improved, and the road congestion can be obviously reduced or alleviated. According to the invention, vehicle GPS (Global Position System) information obtained by a vehicle is spread to the surrounding vehicles via a wireless vehicle transmission device, each vehicle which receives the position information can known the positions and the density information of other vehicles in a certain range around by performing calculation and comparison, so that an auxiliary reminding function for judging of the driver in the driving process is realized.

The invention discloses a pavement traffic signal lamp coordination control method based on reinforcement learning. Monitoring equipment which is arranged correspondingly to each crossing is included. Each monitoring equipment is connected to a remote server through a network module. The control method comprises the following steps that (1) the remote server calculates waiting time S through receiving a video signal; (2) the remote server analyzes and acquires a road congestion condition under each phase state ai; (3) the remote server acquires a feasible degree ciai under the phase state ai; when a traffic stream can pass through, the road is clear and the feasible degree ciai is 1; otherwise, congestion is generated in the road and the feasible degree ciai is 0; (4) the waiting time S and the feasible degree ciai are used to calculate an optimal driving phase state ai of the crossing; (5) the signal lamp is adjusted. The method in the invention is based on video information acquired in real time. Through coordinating and controlling traffic signal lamps of the plurality of crossings in one area, traffic passing efficiency is increased; a traffic flow of the area is maximized and a pavement traffic congestion condition is alleviated.

The invention relates to an intelligent traffic light control method. The method comprises: video image information of a road vehicle is obtained; pretreatment is carried out on the obtained video image information and a pre-training network model is constructed, a training network is built based on the pre-training network model, pre training is carried out on the built pre-training network, the training network is initialized by using pre-trained network parameters and the training network is trained by using a constructed data set until a vehicle number at a corresponding lane in a picture is detected in real time; and on the basis of original passing time, the detected vehicle number at the corresponding lane used as a parameter is substituted into a crossroad traffic light passing standard and the crossroad traffic light passing time is adjusted in real time. In addition, the invention also relates to an intelligent traffic light control system. According to the method and system provided by the invention, the green light passing time of the crossroad traffic light can be adjusted in real time based on vehicle recognition, so that road congestion can be reduced, the traffic accident can be avoided, and the passing efficiency can be enhanced.

The invention discloses a real-time estimating and preventing method for a rear-end collision accident risk at the tail of an expressway queue. A traffic flow detector is arranged in an upstream section of a bottleneck and used for acquiring data, an oblique cumulative occupancy curve is adopted for accurately positioning the tail of a jam queue, a time distance TP and a space distance SP between driving vehicles and the queue tail are calculated respectively, a united normal distribution model of the accident occurrence probability is created based on real data so as to predict the rear-end collision accident risk at the tail of a vehicle queue; and a roadside notice board is reasonably arranged at the upstream of the bottleneck section, so that vehicle drivers have enough distances to decelerate and regulate after seeing an alarming notice on the roadside notice board. Compared with the conventional estimating and controlling method for rear-end collision accidents at the queue tail, the real-time estimating and preventing method for the rear-end collision accident risk at the tail of the expressway queue is in accordance with the practical traffic flow running state more accurately and more scrupulously, and has great importance in traffic safety in the expressway jam queue section.

A road congestion pre-warning method and device. The road congestion pre-warning method comprises the following steps: S1) determining a number alarm threshold value of vehicles and a speed alarm threshold value of vehicles on a pre-warning road; acquiring a number value of vehicles and an average speed value of all the vehicles on a current pre-warning road; S2) judging whether the number value of the vehicles on the pre-warning road is greater than the number alarm threshold value of the vehicles or not, and whether the average speed value of all the vehicles on the pre-warning road is less than the speed alarm threshold of the vehicles or not; and if the number value of the vehicles on the pre-warning road is greater than the number alarm threshold value of the vehicles, and the average speed value of all the vehicles on the pre-warning road is less than the speed alarm threshold of the vehicles, issuing a pre-warning signal. The road congestion pre-warning method is high in reliability and is promising.

The invention belongs to the technical field of traffic signal control and discloses a traffic green wave coordinated control technology for synergistic optimization of tidal lanes and direction-changing lanes, including the following steps: Step 1: judging whether the conditions for setting tidal lanes are met: The value divides the road congestion degree and service level into four grades and the unbalanced flow distribution coefficient: judge whether the service level is above three grades and the direction distribution unbalanced coefficient is >2 / 3. Step 2: Combine tidal lanes with variable traffic, and set up straight-left and straight-going traffic at the entrance of tidal lanes. When changing the direction of tidal lanes, set a 5-minute clearing time; In wave coordination, a half-period green wave coordination is proposed.

The invention discloses a method for optimizing a charging path of an electric automobile based on user travel rules. The method comprises the following steps: (1) counting the owner travel characteristic; (2) performing data acquisition, wherein the data comprises data related to the electric automobile travel characteristic as well as data of charging stations and road congestion conditions; (3)establishing a traffic network, namely establishing a regional traffic network comprising nodes and two-way edges; (4) performing data analysis and processing, namely counting habitual charging stations and charging time of the owner, generating corresponding travel links, and correcting the analytical result according to the survey results in the (1); (5) establishing an electric automobile charging path optimization model; and (6) selecting the optimal charging requirement guided traveling path integrating the charging time, traveling path and cost for owner preference from the multiple travel links by utilizing the electric automobile charging path optimization model. According to the method disclosed by the invention, the travel path corresponding to the travel requirements is provided for the user by fully considering the regional historical circumstances and user charging habits, the defect that the real-time path planning system has harsh requirements on communication hardwarefacilities is overcome, and the charging path is personalized.

The invention provides an intelligent traffic management system and method based on cloud computing. The system comprises a plurality of image acquisition units, a cloud computing server and traffic lights, each image acquisition unit comprises a camera, an image analysis module and a data storage module, the camera is used for shooting an image at a crossing, the image analysis module is used for recognizing vehicles in the image and counting the vehicles to obtain traffic flow data, the data storage module stores image data and the traffic flow data and uploads the traffic flow data to the cloud computing server, and the cloud computing server sets the traffic lights according to the traffic flow data. The method includes following steps: obtaining the traffic flow data of each crossing and uploading the data to the cloud computing server; setting a reference passing time T; and adjusting and setting the passing time of each crossing. According to the system and the method, real-time onsite images are acquired and statistics of the traffic flow data is performed so that the time of the traffic lights and information notification of vehicle GPSs are set, the road traffic management efficiency is improved, and the problem of road congestion is solved.

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 control method of a plug-in hybrid power bus, belonging to the technical field of the control of hybrid power buses. The method comprises the following steps of: obtaining present vehicle position information by using a GPS (Global Position System) navigation device and a digital map stored in a vehicle-mounted information unit, judging road congestion levels at the temporal position by combining vehicle speed-time history counting information of an urban fixed line stored in the vehicle-mounted information unit; and carrying out real-time optimization and adjustment for the energy distribution of the vehicle according to the information including different congestion levels, the present vehicle position, and power battery electric quantity and the like. The method disclosed by the invention can effectively and reasonably distribute the energy of the plug-in hybrid power bus running on fixed lines, so that the fuel oil consumption and the pollutant emission are reduced and the fuel oil economy is enhanced.

The invention relates to a method for controlling traffic signal lights, wherein an intersection is provided with the traffic signal lights for controlling the travel of vehicles entering roads, and a central control system for controlling the display state of each traffic signal light; the traffic signal lights correspond to the roads in a one to one mode and display the conditions and travel directions of vehicles in the road; and the central control system determines the travel condition and the travel direction of each driveway according to the actual condition of the road. By adopting the method, the travel direction and the green light time of each driveway at an entering intersection can be controlled automatically, and the traffic capacity of the intersection is effectively used by controlling both the traffic direction and the traffic flow so as to reduce road congestions.

The invention relates to a method and a device for predicting airport traffic congestion based on a long short-term memory (LSTM) model. The method comprises the steps of acquiring traffic condition information and airport flight takeoff and landing information of a road within a preset range around an airport as well as aviation meteorological information within a preset range around the airport;inputting the traffic condition information, the flight takeoff and landing information and the aviation meteorological information into the LSTM model; acquiring an output result of the LSTM model,wherein the output result is a predicted congestion index of the road within the preset range around the airport in a future time period. The method is based on the consideration of space and time effects, and the aviation meteorological information is added; intra-regional traffic is regarded as a space-time related system; the prediction result is obtained based on the LSTM model, so that the accuracy of the road congestion index prediction within the preset range around the airport is further improved.

The invention provides an intelligent navigation method, which comprises the following steps of: obtaining latitude and longitude information of a current position; receiving a navigation instruction, wherein the navigation instruction comprises latitude and longitude information of a destination and the current position; connecting a navigation server, and if the navigation server is successfully connected, encoding the latitude and longitude information of the destination and the current position and transmitting to the navigation server; receiving a best route selected according to the monitored current road condition information fed back by the navigation server; and starting navigation according to the best route. The navigation is carried out by selecting an appropriate route according to the real-time road condition information, so the traffic congestion can be mitigated to a certain extent; and the road congestion can be predicted according to the historical data so as to shield the road in the rush hour, and the road traffic control can be effectively carried out in cooperation with the traffic police department; and when the monitored road information is changed, a map can be updated in time, so that the problem in the prior art that the map is complicated to update is prevented.

The invention discloses a road traffic path guide method and system and a road traffic information service platform. The method comprises the steps: obtaining the predetermination request information and traffic flow information of a navigation path; presetting a proper navigation path according to the predetermination request information and traffic flow information, and generating a navigation path predetermination result; feeding the navigation path predetermination result back to a user, and updating the traffic flow information. Because the traffic flow information is based on the navigation path predetermination result, the predetermination proper navigation path is based on the traffic flow information of a road segment in a time period, wherein the road segment and the time period are corresponding to a predetermination request, and the former two sides form preconditions for each other. The method employs a very economical solution, formulates a good behavior norms for the ordered application of a road and the high efficiency and smooth road traffic, achieves the path planning, predetermination and optimal path navigation for the travel, and solves problems of traffic jams and travel difficulties.

The invention discloses a method for detecting road congestion in combination with visual features and convolutional neural network. The method herein includes the following steps: 1. detecting a moving foreground and establishing a background model for an image video sequence that is input, obtaining the background of an original image and an initial moving foreground; 2. Inputting the initial moving foreground set to a convolutional neural network, identifying a moving vehicle, eliminating moving foregrounds of other non-moving vehicles; 3. Using a final moving foreground set to compute theimage visual features that can reflect the state of traffic, wherein the image visual features include traffic density, traffic speed, traffic occupancy and traffic flow; 4. Computing the informationentropy of an image light flow histogram; 5. and based on the traffic density, traffic speed, traffic occupancy, traffic flow and the information entropy of the light flow histogram, determining the congestion state of a traffic road. According to the invention, the method herein combines multi-dimensional visual features and the convolutional neural network, can more accurately determine the congestion level of the road.

The invention discloses a control method for traffic lamps and a system thereof. The method comprises the following steps: road information is acquired according to a plurality of preset directions in real time; data analysis is carried out on the acquired road information, and according to analysis results, control signals are output to various traffic lamps; specifically, a first work module in busy periods and a second work module in non-busy periods are included; in the busy periods of going to work and going off work, the control signals are output to the traffic lamps according to a preset sequence, and the traffic lamps can be temporarily adjusted to gives a direction in which vehicles come the priority of passage; and in the non-busy periods, the direction in which vehicles come is made to maintain in a green light state for a long time, and a direction in which none vehicle comes is made to maintain in a red light state for a long time until the road surface information changes, so that unnecessary waiting of the vehicles due to switching of the red light and the green light in a traditional mode is avoided. Conditions of road congestion are accordingly alleviated to a great extent. The travel efficiency and the vehicle driving speed are raised. Furthermore, the fuel oil consumption and the pollution are reduced.

The invention discloses a shared bike based stereo garage. The shared bike based stereo garage includes parking supports, lifting platforms, clamping mechanisms, telescopic devices, and a garage body;the garage body includes parking regions and fetching regions; when the bikes are stored, the bikes are placed on the lifting platforms and clamped by the clamping mechanisms; the lifting platforms lift to the parking supports for parking the bikes, the telescopic devices positioned on the tails of the parking supports pull the clamping mechanisms and the bikes in the parking supports so as to complete bike storing; and when the bikes are fetched, the lifting platforms reach the parking supports having the bikes, the telescopic devices push the bikes and the clamping mechanisms out of the lifting platforms, the lifting platforms fall to access openings, and then the bikes can be fetched. The shared bike based stereo garage can improve the space utilization rate, can greatly save ground space, and can avoid road congestion due to random parking of the shared bikes.