1234 results about "Road junction" patented technology

A vehicle navigation system helps guide a driver to a destination by enhancing visualization of upcoming intersections. The navigation system stores animation data that depicts the intersection as it will appear to the driver. The animation data may be a sequence of images (e.g., digital camera images) taken at intervals before and after the intersection. The navigation system may show the images in synchronism with the progress of the vehicle to provide an animated display of the intersection for the driver. The animated display aids the driver with following a recommended navigation route to the destination.

The invention provides a self-adapting quick response system for urban traffic congestion, comprising a center system, a roadside detector, a roadside detection controller, a dynamic display board on the road and an information subsystem, wherein the center system is used for processing information which is transferred by the roadside detector and the roadside detection controller which are connected with the center system and returning results after analyzing the information; the roadside detector is used for detecting the road traffic state by utilizing a comprehensive inductor and sending detection results back to the center system as well as the adjacent roadside detector and roadside detection controller; the roadside detection controller is used for detecting and analyzing the relevant traffic flow and the congestion state of the road section or the road junction and controlling the traffic light length, a wireless shirt-distance information publishing device and the dynamic information board; the dynamic display board on the road is used for intercommunicating information with the center system and the adjacent roadside detection controller and dynamically displaying the information after being analyzed; and the information subsystem is connected with the center system and used for pertinently broadcasting traffic information to drivers through various ways. By means of the system provided by the invention, the possible congestion can be rapidly detected and controlled to ensure that the congestion is eradicated at the beginning of forming.

Autonomous and manually operated vehicles are integrated into a cohesive, interactive environment, with communications to each other and to their surroundings, to improve traffic flow while reducing accidents and other incidents. All vehicles send/receive messages to/from each other, and from infrastructure devices, enabling the vehicles to determine their status, traffic conditions and infrastructure. The vehicles store and operate in accordance with a common set of rules based upon the messages received and other inputs from sensors, databases, and so forth, to avoid obstacles and collisions based upon current and, in some cases, future or predicted behavior. Shared vehicle control interfaces enable the AVs to conform to driving activities that are legal, safe, and allowable on roadways. Such activities enable each AV to drive within safety margins, speed limits, on allowed or legal driving lanes and through allowed turns, intersections, mergers, lane changes, stops/starts, and so forth.

The invention belongs to the field of intelligent safe driving, and particularly discloses a people-avoidance and collision-avoidance system and method for vehicles at a crossroad without signal lights. The system includes a crossroad terminal, a wireless communication module, a vehicle information acquisition module, a central processing module, a collision pre-warning module and a brake controlmodule; the crossroad terminal, the wireless communication module, the vehicle information acquisition module, and the collision pre-warning module are connected with the central processing module. The system is a system based on an LTE-V communication mode, a millimeter-wave radar and GPS positioning, through a vehicle-vehicle communication mode and a vehicle-road communication mode, the states of pedestrians at the dead zone of the crossroad and the motion states of surrounding vehicles are obtained, whether risks of collision exist or not is judged, alarming is conducted through a HIM interface so as to remind a driver of reducing the speed or changing lanes, and when necessary, the speed of a vehicle is controlled to be reduced so as to avoid collision.

The invention discloses an intensive learning based urban intersection passing method for a driverless vehicle. The method includes a step 1 of collecting vehicle continuous running state informationand position information through a photographing method, the vehicle continuous running state information and position information including speed, lateral speed and acceleration value, longitudinal speed and acceleration value, traveling track curvature value, accelerator opening degree and brake pedal pressure; a second step of obtaining characteristic motion track and the velocity quantity of actual data through clustering; a step 3 of processing original data by an exponential weighting moving average method; a step 4 of realizing the interaction passing method by utilizing an NQL algorithm. The NQL algorithm of the invention is obviously superior to a Q learning algorithm in learning ability when handling complex intersection scenes and a better training effect can be achieved in shorter training time with less training data.

The invention relates to an unattended remote monitoring control system for a road junction of railways, which is arranged at the intersection of a railway and a road. The remote monitoring control system comprises a wireless sensor, a road junction control box, a camera, a signaler, an electric barrier, an infrared sensor and a remote monitoring central server; the wireless sensor is in wireless connection with the road junction control box; the infrared sensor is arranged at both sides of the electric barrier and is connected with the road junction control box; the camera, the signaler and the electric barrier are respectively connected with the road junction control box; and the road junction control box is connected with the remote monitoring central server. Compared with the prior art, the system is based on the global energy saving of an urban track traffic system and all operating conditions of a vehicle and has the advantages of increasing the utility ratio of a vehicular energy-storage system and realizing the maximization energy saving of a track traffic system.

Using six types of nodes of radio sensors to structure four types of radio sensor networks, the invention forms cooperation in four layers, and accomplishes four functions. The said cooperation is: cooperation between section of road and vehicles; road junction and road junction; road junction and subarea; subarea and subarea. The said four functions are: using radio sensor networks to collect data of traffic flow in real time, fast and accurately; based on need of real time traffic flow, the invention selects self-contained signal control algorithm or cooperated signal control algorithm dynamically to generate optimal scheme for allocating time of signal for road junction; communication between road junction and vehicles make possible to redistribute spatial traffic flow; remote control end can control schemes for allocating time forcibly. There is good compatibility between the invention and current hardware of signal control system.

The invention requests to protect a multifunctional V2X intelligent roadside base station system. The system comprises roadside sensing equipment, an MEC server, a high-precision positioning service module, a multi-source intelligent roadside sensing information fusion module and a 5G/LTE-V communication module. An intelligent roadside device integrating C-V2X communication, environmental perception and target recognition, high-precision positioning and the like is designed, and the problem that multi-device information fusion and integration are inconvenient in intelligent transportation is solved. In the system, a C-V2X intelligent road side system architecture and a target layer multi-source information fusion method are designed. Road side multi-source environment cooperative sensing is combined, real-time traffic scheduling of the intersection is realized by using a traffic scheduling module in the MEC server, and communication and high-precision positioning services are providedfor vehicle driving, and finally the target information after fusion processing is broadcasted to other vehicles or pedestrians through a C-V2X RSU (LTE-V2X/5G V2X and the like) according to an application layer standard data format, so the driving and traffic safety is improved.

The invention discloses a short-term traffic flow weighted combination prediction method, which comprises the following steps of: (1) organizing historical traffic flow data by utilizing a dynamic clustering algorithm; (2) performing short-term traffic flow prediction by using an improved nearest neighbor nonparametric regression method; (3) performing the short-term traffic flow prediction by taking a cluster which is the most similar to a current point in a historical database as a training sample of a fuzzy neural network and using a fuzzy neural network model; and (4) determining the weight of a combined prediction method according to a prediction error of the improved nearest neighbor nonparametric regression method and the fuzzy neural network model in the last time bucket, and outputting a final prediction result in a weighted combination way. A traffic flow in the last time bucket and a traffic flow of related turning at an upstream road junction are taken into account, the training sample of the fuzzy neural network is optimized, and the final prediction result is output in the weighted combination way, so that short-term traffic flow prediction accuracy and real-time performance are improved.

The present invention relates to a lane departure warning device or the like that limits a lane departure warning in a special road environment, in a case where it is confirmed that a driver has a lane departure intention, and so on. It is possible to secure the reliability of a lane departure warning system and to provide a driver's convenience by limiting the lane departure warning in the case where the vehicle enters into a special road region, such as a road junction/branch region by comprehensively considering information captured by a camera of the vehicle, navigation map information, and so on while using a general lane departure warning, and also limiting the lane departure warning even in the case where the driver's lane departure intention is confirmed.

An invention regarding traffic management is disclosed. A system that tells motorist how fast to go in order to make it through a traffic signal while it is green serves one or more lanes in one or more directions. A Fast Lane On Warning (FLOW) sequencer is in synchronization with traffic phases sequencer (sequencing Red, Green, Yellow, Left Turn and the like) with both sequencers having service cycle period Pi but with start times of both sequencers offset from one another. The FLOW sequencer outputs data, particularly status of signal or “Signal Phase And Timing: SPAT” through wireless means to a mobile receiver/calculator/readout aboard the approaching vehicle. The receiver/calculator/readout also receives data of its location or whereabouts, particularly its distance to the intersection. The receiver calculator readout processes the two incoming data types considering “distance” and “time left” and gives an output of digital, graphic, audio or the like as to how fast the motorist should go to make it through during green.

A system and method for predicting whether a vehicle will come to a stop at an intersection is provided. Generally, the system contains a memory; and a processor configured by the memory to perform the steps of: generating a prediction of whether the vehicle will or will not stop at the intersection before a first time based on vehicle data measured during a first time window; and at a second time, the second time being before the first time and approximately equal to a time at which the time window ends, providing an indication that the vehicle will not stop at the intersection before the first time based upon the prediction, wherein generating the prediction comprises using a classification model, the classification model configured to indicate whether the vehicle will or will not stop at the intersection before the first time based on a plurality of input parameters, and wherein the plurality of input parameters are selected from the group consisting of speed, acceleration, and distance to the intersection.

A wireless communication device for vehicle-to-vehicle communication includes a vehicle positioning module that uses sensors and detects a current position and a direction of the vehicle. In a map matching, pre-calculated route information and road network information based on the current position are retrieved from map data and a current link of the vehicle is identified and a potential signal pattern is determined regarding a position of next intersection and the road network information based on the current position, the direction of the vehicle and the current link. Based on the potential signal pattern, radio characteristics including a level of intensity, a frequency, and a direction are assigned. A transmitter produces a radio signal of the radio characteristics carrying the current position, the speed and the direction of the vehicle. An antenna module converts the radio signal from the transmitter into radio waves and radiates the radio waves.

The invention provides a signal lamp state detecting method. The signal lamp state detecting method comprises the following steps of acquiring position information of a vehicle and position information of a signal lamp; acquiring the running distance of the vehicle on a road junction with the signal lamp according to the position information of the vehicle and the position information of the signal lamp; acquiring state information and state conversion time of the signal lamp; acquiring running time of the vehicle which runs to the road junction with the signal lamp according to the speed and the running distance of the vehicle; and judging whether the running state of the vehicle is required to be changed or not according to the running time and the state information and the state conversion time of the signal lamp. According to the signal lamp state detecting method in an embodiment, changing conditions of the signal lamp can be accurately controlled, a user can be reminded, so that illegal behaviors or vehicle accidents can be avoided, and the driving safety of the vehicle is improved. The invention also provides a signal lamp state detecting system and a vehicle-mounted control device.

In a vehicle navigation apparatus, displaying an enlarged view of an intersection within a guide route is suppressed when a value N associated with a corresponding passing direction of the intersection exceeds a learning reference value. When the value N is not more than the learning reference value, the enlarged view of the intersection is displayed on a display unit. When a deletion operation is received while the enlarged view is displayed, the value N is incremented by “1.” In contrast, when an enlarged view display operation is received while the enlarged view is not displayed, the value N is decremented by “1.”

The invention relates to a single frame picture test device for automobile queue length at crossroad and a working method thereof. The single frame picture test device comprises an illumination intensity detection control circuit, an image collection and processing device, and a queue length output interface. The working method comprises: detecting environment illumination intensity, and automatically using a flash lamp to collect a single frame traffic image under low illumination intensity; processing binarization on the traffic image via double threshold value method; detecting lane edges via Hough transformation to define a lane region; detecting boundary to obtain the boundary image of automobiles; projecting the edge information of automobiles to the center line of the lane region; scanning the white points on the center line to determine queue tail; calculating the queue length in the image, calculating actual automobile queue length, and outputting the actual automobile queue length via an output interface. The invention overcomes the defects of video flow detection which is affected by weather, illumination, camera vibration and the like, having the advantages of simple calculation, high operation speed and high reliability.

Provided is directed to reduce unnecessary fuel consumption due to unnecessary rapid acceleration when a vehicle drives between intersections, and it is an object to allow for economical driving by reducing the fuel cost, and minimize environmental pollution by minimizing the exhaust gas of vehicle, by providing an economical speed for drivers such that vehicles that have passed through an intersection in accordance with the present traffic light economically drives to the next intersection.

The invention discloses an intelligent traffic light control method and system based on a wireless sensor network. A wireless sensor network system is arranged at a crossroad; the vehicle flow of the cross road and the queuing length of vehicles waiting at the cross road are detected by the wireless sensor; the acquired vehicle information at the cross road is sent to a traffic signal light control node in real time; and the time duration of the red and green lights is calculated by a software algorithm in a self-adaptive manner, and is adjusted automatically to effectively reduce the waiting time of the vehicles, so that the efficiency of the vehicle driving at the crossroad is improved and the automation level of traffic control is improved. The system also can avoid the trouble of pipeline distribution on the broken roads, has the advantages of small volume, low cost and convenience in installation and is suitable for promotion and popularization at the traffic department.

A driving support system for a vehicle, which is provided with a communication apparatus capable of bi-directional communication between the vehicle and an unspecified number of moving objects, detects the presence of a communication impeding intersection at which there is a radio-wave blocking object using information obtained by communication with at least one of the moving objects that is traveling on an intersecting road which intersects the road on which the vehicle is traveling. The driving support system then transmits to at least one of the moving objects on the road on which the vehicle is traveling at least one of communication impeding intersection information relating to the communication impeding intersection and moving object information relating to at least one of the moving objects that is on the intersecting road only when the presence of the communication impeding intersection has been detected.

The invention includes steps: (1) establishing corresponding table between number of road junction and name of road section; (2) discriminating and processing error data; (3) obtaining average speed of road section. Average time of travel on road section is equal to sum of average running time and average waiting time. Running length of vehicle is equal to length of road section minus length of vehicle queue at road section under average meaning. Roads are divided into rapid road, main road, secondary road, and branch road. Detecting speed on the spot obtains anticipant speed on different grades of road. Average running time is obtained from average running length of vehicle divided by anticipant speed on different grades of road. Based on M/M/1 theory in queuing theory, the disclosed method obtains average waiting time. Based on length of road, average running time and average waiting time, the method obtains average speed on road. Features are: easy, quick and high reliability.

The invention relates to a navigation device that can realize voice navigation to complex crossings, and a working method thereof. A map data base storage unit of the navigation device is used for storing models of each complex crossing, and a voice database storage unit is used for storing a voice database that contains a keyword database and a database of voice data address codes that consists of each address code; a group of keywords that are corresponding to each address code group represent speeches of all driving actions that are orderly implemented when driving through a corresponding complex crossing; the address code of each address code group is associated with a master serial number of the corresponding model of the complex crossing. When the navigation device implements real-time navigation according to a guidance path, a CPU unit reads the model number of the closest complex crossing in front, obtains a route for driving through the crossing according to the guidance path, and the master serial number of the passed crossing, thus displaying the crossing pattern by a display screen and simultaneously presenting indication voice by a voice output device.