33results about How to "Accurate traffic information" patented technology

The invention discloses a bus GPS track data road network matching method which includes 1 collecting all GPS track data of a bus in a period; 2 determining at least one candidate matching road section for one track point to form a candidate matching road section set in the bus road network data structure; 3 judging the candidate matching road section set of surplus track points of the first track point one by one and determining at least one matching point for each track point; 4 connecting matching points of all the track points to form multiple candidate running tracks and judging the candidate running track with the most matching points as the running track; 5 determining that each road section is matched with k track points due to the fact that the running track passes through a plurality of road sections. By means of the matching method, the GPS track points are classified into the bus road network data structure as real as possible to accurately judge the actual running position of one bus at certain time to accurately obtain the road condition information.

The invention discloses a road condition information generating method based on bus global position system (GPS) tracking data. The method includes that (1) in a bus road network data structure, actual bus stations, station points, route intersection points and intersection nodes are expressed by nodes, each two adjacent nodes that are on the same road and in the same direction are connected through a line section, the line section is defined as a road section for representing a single-direction actual road section, and a driving direction of the road section is used as an associate attribute of the road section; (2) all GPS tracking data of n buses within certain time period T are obtained; (3) all GPS tracking data of the n buses are matched to the bus road network data structure; (4) average speed (img file='DDA0000591646390000011.TIF'wi='42' he='59') of h buses that are matched with the corresponding road section is used as road condition information of the actual road section. According to the road condition information generating method based on the bus GPS tracking data, the whole bus road network data structure is established through point elements and line elements, and road conditions of the road section can be accurately reflected.

The invention discloses a traffic road condition information filling method and a system, which relate to the field of traffic information treatment and can improve the accuracy of filling road condition information. The traffic road condition information filling method comprises the following steps: completing vacant data in traffic road condition data according to the historical road condition data; carrying out clustering treatment on all the road condition data of a same road in the same time period for obtaining the road condition change trend, and establishing a road traffic road condition trend mode library; matching the road condition trend of the road in the time period containing the time point t with the road condition change trend of the road in the traffic road condition trend mode library, and calculating the driving speed of the road at the time point t for filling the road condition. The method and the system are applied in the treatment of traffic accident information of an intelligent traffic system.

The invention provides a method and system for measuring the driving speed of an expressway vehicle based on road network matching. The method comprises: S1, on the basis of a hidden Markov model, acquiring a driving road of a vehicle which a user takes according to the movement track of the user; S2, mapping each positioning point in the movement track to a corresponding section on the driving road, generating corresponding mapping positioning points, and connecting the mapping positioning points of all sections successively in a time sequence to form a driving track of the vehicle; and S3, according to the driving track, acquiring the driving speed of the vehicle. According to the invention, on the basis of the movement track of the user, the driving speed of the vehicle in which the located mobile phone is located on the expressway is calculated, so that the driving speed of the vehicle is monitored in real time during the whole process. Therefore, the accurate road condition information is provided for the driving vehicle; the anti-interference ability is powerful; the furious driving behavior can be warned and suppressed; and thus the risk prediction, early warning and prevention capabilities of the whole road network are enhanced.

An embodiment of the invention discloses an event reporting method and an event reporting device for AR navigation, and a terminal and a storage medium. The event reporting method comprises the stepsof: acquiring a road image in front of a vehicle in real time by means of a camera equipped on the vehicle; performing road condition event detection on the road image, and determining a target road condition event and a corresponding road condition event type; determining a latitude and a longitude of the target road condition event according to a relative positional relationship between the target road condition event and the vehicle as well as a latitude and a longitude of the vehicle; determining a road name and a lane number to which the target road condition event belongs in a map engineaccording to the latitude and the longitude of the target road condition event; and reporting the road condition event type, the road name and the lane number as target road condition event information to a server. The event reporting method and the event reporting device automatically detect and report the road condition event in the AR navigation mode, thereby improving the precision of road condition event detection, so that the majority of users can obtain precise road condition information more quickly.

The invention discloses a processing method and a device of multisource traffic information fusion so as to enable a link region and a license plate range to obtain accurate fusion value, the fusion value of the license plate range can reflect the road condition of long road sections accurately and provide accurate road condition information, and the fusion value of the link region can reflect the road condition of short road sections accurately and provide accurate route guidance. The method comprises the steps that multisource data are obtained; pre-processing is conducted to the multisource data; the multisource data after pre-processing are respectively matched to the license plate region and the link region; fusion models of the multisource data are respectively chosen for the license plate region and the link region according to data deficiency circumstance of the multisource data and a deficiency supplying method adopted by the multisource data; and data fusion is respectively conducted to the multisource data of the license plate region and the link region according to the obtained fusion models, and therefore fusion value of the license plate region and the link region is obtained. The processing method and the device of the multisource traffic information fusion are applied to information fusion technology.

A traffic monitoring system (400) includes a network of geographically distributed sensors (401-403). The sensors (401-403) provide raw or preprocessed data to a processing system (405) based on received long range wireless signals (e.g., 2.4 GHz, 5.8 GHz, or 5.9 GHz spectrum). The processing system (405) can then implement any of various algorithms to calculate traffic parameters taking into account the range of communication between the source and the sensor. The inputs to these algorithms include a first contacts, last contacts, maximum range, minimum range, median of contacts, average of contacts, maximum strength, and combinations thereof.

The invention relates to a vehicle driving direction identification method and system, identifier stations, a memory and a background server. The vehicle driving direction identification method comprises the steps of collecting transaction record information sent by each identifier station, wherein the transaction record information comprises an identifier of an electronic tag and tag discovery time; obtaining transaction record information and quantity received by the same electronic tag in a preset time period; and according to the transaction record information and quantity, identifying a driving direction of a vehicle equipped with the electronic tag. By implementing the technical scheme, the driving direction of the vehicle can be accurately judged.

A traffic monitoring system (400) includes a network of geographically distributed sensors (401-403). The sensors (401-403) provide raw or preprocessed data to a processing system (405) based on received long range wireless signals (e.g., 2.4 GHz, 5.8 GHz, or 5.9 GHz spectrum). The processing system (405) can then implement any of various algorithms to calculate traffic parameters taking into account the range of communication between the source and the sensor. The inputs to these algorithms include a first contacts, last contacts, maximum range, minimum range, median of contacts, average of contacts, maximum strength, and combinations thereof.

The embodiment of the invention discloses a vehicle infrastructure integration-based traffic guidance method, equipment and system and a storage medium. The method comprises the steps of firstly, acquiring vehicle information on a lane changing region in real time by intelligent terminal sensing of road-side equipment or vehicle road communication sensing, wherein the vehicle information comprisespositions, speeds and directions of at least two vehicles; secondly, determining a lane changing induction scheme with shortest forecast passing time of each target vehicle according to the vehicle information, wherein the lane changing induction scheme is hypothesized in a way that a corresponding target vehicle changes a lane from a road segment within a designated range, wherein the target vehicle is at least one of the two vehicles; and finally, prompting the target vehicle to change the lane from the road segment within a recommended and designated range from the corresponding lane changing induction scheme. If the scheme is employed, the lane changing can be completed with relatively short time, traffic congestion is released, the situation that the congestion is increased due to concentrated lane changing at an inappropriate road segment, and the integral traffic condition of a larger region range is further improved.

The invention discloses a target tracking method of a sample selectable updating mechanism, a method for rememorizing an effective sample, and a distance estimation method, and belongs to the technical field of moving target tracking processing. The invention aims to solve the problem that a wrong tracking result influences a tracking algorithm. The method is characterized by comprising the following steps: 3, analyzing the tracking result through an image feature forgetting method, extracting image features of a target region, comparing the image features with a reference image, and forgetting the tracking result with a large difference; 4, verifying the forgotten tracking result in step 3 by using an energy significant memory method, extracting gradient energy of a forgotten result target area, performing significance analysis, rememorizing the tracking result containing the target into a sample library, and performing a forgetting keeping operation and returning to step 2 or tracking ending on the result free of the tracking target. The methods are suitable for all discrimination model type target tracking methods, can prevent the training set from being polluted by the featureinformation of an occlusion object, and improve the adaptability of the target tracking method to target occlusion.

The invention discloses an automobile chassis. The automobile chassis comprises a detection device. The detection device comprises an ECU, integrated-circuit control motors, cameras, control buttons and a display device. The four motors are arranged on four corners of the automobile chassis respectively, a connecting band is arranged between two motors arranged in the length direction of the automobile chassis, connecting rods are arranged between the two connecting bands, a sliding groove is formed in each connecting rod, each camera is connected with one connecting rod in a sliding mode through the sliding groove, two ends of each connecting rod are respectively connected with an idler wheel, and the idler wheels are connected with the connecting bands. The automobile chassis further comprises a connecting mechanism, a protective device and a scraping-hitting-resistant device.

Systems, methods, and data structures for correcting traffic information data may accumulate traffic information data including, for each link, a link travel time during at least one trip time. The systems, methods, and data structures may convert the link travel time into a vehicle speed and correct the converted vehicle speed if a the vehicle speed or a first speed change amount is equal to or larger than a predetermined value.

An embodiment provides a traffic information generating method for generating traffic information about a road on which a vehicle travels. A vehicle speed is detected by a vehicle speed sensor at predetermined distance or time intervals. By referring to a prescribed speed, a prescribed distance, and a link determination distance, a congestion degree associated with the vehicle speed is detected.

The invention discloses a traffic demand analysis method based on latitude and longitude coordinates and a kmeans clustering algorithm. The method comprises the following steps: (1) designing a resident travel survey table; (2) issuing and recycling a resident travel questionnaire; (3) acquiring longitude and latitude of a departure place and an arrival place; (4) constructing a database, and inputting information related to traffic demands; (5) analyzing and checking the longitude and latitude data; (6) calculating a travel distance, and deleting unreasonable data; (7) performing clustering analysis on the starting point and the destination point by using a k-means clustering algorithm, and dividing traffic cells; (8) adjusting a traffic cell division scheme; and (9) constructing an OD matrix. On the basis of accurately obtaining latitude and longitude coordinates of the departure place and the arrival place, the k-means clustering algorithm is applied to divide traffic zones and create the OD matrix, traffic travel data can be rapidly and efficiently analyzed, and engineering practices of traffic planning, design and management are better met.

The invention relates to an embedded automobile route real-time recommendation system and a method thereof and belongs to the field of real-time intelligent recommendation. The system comprises traffic cameras, a vehicle-mounted information transmission module, a cloud server, a traffic database and a vehicle-mounted information receiving module. The traffic cameras upload vehicle information at each road intersection to the cloud server. The vehicle-mounted information transmission module uploads current vehicle speed, vehicle position and destination information to the cloud server. After having received uploaded route query information and vehicle-mounted geographical location information, the cloud server stores the information into the traffic database. By calling data information in the traffic database, the cloud server calculates traffic jam on each road and recommends the best route and sends the best route information to each vehicle. By uploading vehicle data and road traffic data to the cloud server at real time for real-time data update of the traffic database, analysis and accurate recommendation can be rapidly made to guarantee smooth traffic.

The invention discloses a road travel time refined calculation method based on identity detection data. The method comprises the steps that S1 a vehicle identity ID is used as an identification code to construct an identity detection device detection sequence of each vehicle; S2 in a preset time period t, a road travel time set is acquired through the identity detection device detection sequence;S3 according to different steering lanes of a downstream intersection, phi m<k> is classified; S4 invalid travel time samples are removed from T m<n> to acquire a preliminary screening set; S5 discontinuous travel samples are removed from the preliminary screening set to acquire a valid travel time sample set; and S6 through the valid travel time sample set, fine road travel time which distinguishes steering is acquired. According to the invention, real-time, accurate and reliable road condition information can be acquired without adding new detection devices; the calculation logic of each road is independent of each other, which prevents error accumulation and guarantees the calculation accuracy; and the calculation method is simple, and has the advantages of high implementation efficiency and practical application value.