657 results about "Road crossing" patented technology

A parking management system that facilitates motorist guidance, payment, violation detection, and enforcement using highly accurate space occupancy detection, unique vehicle identification and guidance displays is described. The system enables reduced time to find parking, congestion mitigation, accurate violation detection, and easier enforcement, and increased payment and enforcement revenues to cities. A system facilitating intersection management is also described having applicability to road intersections and railway crossings.

In one example, we describe a method and infrastructure for DSRC V2X (vehicle to infrastructure plus vehicle) system. In one example, some of connected vehicle applications require data from infrastructure road side equipment (RSE). Examples of such applications are road intersection safety application which mostly requires map and traffic signal phase data to perform the appropriate threat assessment. The examples given cover different dimensions of the above issue: (1) It provides methods of RSE of interest selection based solely on the derived relative geometric data between the host vehicle and the RSE's, in addition to some of the host vehicle data, such as heading. (2) It provides methods of RSE of interest selection when detailed map data is communicated or when some generic map data is available. (3) It provides methods of RSE of interest selection when other vehicles data is available. Other variations and cases are also given.

A vehicle navigation system uses prerecorded intersection images to more quickly and efficiently acquaint the driver with approaching intersections and other points of interest as part of a navigation system. The pre-recorded images are recorded, selected and processed with header information that associates the selected landmark images of approaching intersections and other points of interest to spatial nodes based on runs defined by routing information in the navigation system. The runs defined by the routing information correlate to a path or road segment to be traveled with the spatial nodes defining a transition point from one run to another, such as a roadway intersection where a turn is required to follow the routing information. Preferably, a multiplicity of recorded images are analyzed from a road segment to select a set of images that correspond to a plurality of distances from an approaching intersection, for example, where the selected images include a view of relevant visual information, such as road sign images, associated with the intersection.

In a vehicle emergency evacuation device which stops a running vehicle automatically or keeps a stop state of a stopped vehicle in a driver's emergency, a stop keeping process is executed to keep the stop state without conducting an intention confirmation process of the execution start of an emergency evacuation process when the emergency evacuation process is required, e.g. when an abnormality or a deterioration in the driver's condition arises or when the driver requests the emergency evacuation process, under a condition that the vehicle has stopped before a signal, a road crossing or a railroad crossing, thereby ensuring the safety of the vehicle. Moreover, there are provided a structure in which the stop site of the vehicle in the execution of automatic vehicle stop control is determined depending upon whether the running road is a driveway, a highway, or a normal road; and a structure that judges whether or not to permit an override to the emergency evacuation process after the execution start of the emergency evacuation process based on a passenger's motion.

The invention provides a remote sensing image road network automatic extraction method with navigation data assistance. The method comprises the steps that registration of navigation data and a remote sensing image is performed; vector data is utilized to extract road sections; intersection pixel structure indexes are utilized to extract road intersections; a road network is extracted based on adaptive cluster learning; the extracted road sections and road intersections are connected to form the road network, and a newly-added road object in the remote sensing image is detected according to known road characteristics; and last, the road is verified. According to the method, the remote sensing image and the navigation road network data are adopted as input data sources, location, geometrical, topological and semantic information in the navigation road network data and scene characteristics in the high-resolution remote sensing image are comprehensively utilized, and the task of automatic road network element data extraction is completed in combination with realistic road structure priori knowledge, etc. The method has high practicability and high accuracy.

The invention discloses a prediction-based routing method at an intersection in a vehicle self-organizing network, and mainly solves the problem that when a packet is routed at the intersection, a link is unstable in the prior art. The scheme for implementing the method is that: when the packet arrives at a previous hop node of the intersection, the node predicts the next intersection to which the packet is transmitted; a weight of each adjacent intersection is calculated according to the density of adjacent road sections and a distance from the next intersection to a destination, and the intersection with the largest weight is selected as the next temporary destination for transmitting the packet; and when the packet is forwarded in a greedy mode in the road section, if the selected nodeis positioned in the boundary of the transmission range and is opposite to a driving direction of the transmitting node, a node secondarily nearest to the destination is selected, otherwise the packet is directly forwarded to the selected node. Compared with the geographic routing in city scenarios (GPCR) protocol and the greedy perimeter stateless routing for wireless networks in urban vehicularscenarios (GpsrJ+ protocol), the method has the advantages that: the transmission rate of the packet is increased, the transmission time delay of the packet is reduced, and the method can be applicable to the vehicle self-organizing network.

A method of controlling traffic signals at a road intersection, which has a plurality of signal groups, each of which controls at least one direction of traffic within the intersection. The method comprises the steps of obtaining and utilising traffic data to calculate a current traffic state and the rate of change in the traffic state. The method further comprises formulating at least one action and the duration of the action in response to these calculations. Each action comprises switching at least one traffic signal. One or more policies based on the calculations and the action are resolved. A continuous decision making process is applied to evaluate a reward for the policies resolved and a policy that maximizes the reward is selected.

An improved self-propelled mobile track vehicle (MTV) capable of traveling by road at normal highway speeds and traveling by rail after conversion at a narrow railroad crossing by producing a device for rotating the vehicle 90 degrees. The vehicle is powered by a diesel engine driving through a power shift transmission to the roadway and railway axles. A significant advantage over other types of road / rail vehicles is that 100 percent of the vehicle's weight is carried on the rail wheels, which are powered and braked, thereby allowing higher and safer rail speeds. One way to convert the vehicle from roadway travel to railway travel is to maneuver it into a position parallel to the track at a road crossing. The rail axles are then extended and road axles retracted. In addition, a turntable mounted at the vehicle's center of gravity also allows the vehicle to convert at a narrow road crossing. While at railway / roadway crossing the unit raises and rotates 90 to align with the desired roadway or railway. The vehicle can assist in starting a train by extending the powered road axle so that the inner rubber tires contact the rail and the high traction of rubber on rail assists in increasing starting traction of the vehicle thus allowing the vehicle to assist in starting a train.

The invention provides an intelligent traffic signal control system considering the safety of cross-street pedestrians; the intelligent traffic signal control system comprises inductance coil detectors, video detectors, a traffic signal controlling machine and signal lamps; a two-phase total-inductive control mode is adopted in a road crossing; the two inductance coil detectors are embedded in each inlet lane, wherein the main inductance coil detector is embedded at a stop line of the inlet lane and is used for detecting traffic flow of a road section; the auxiliary inductance coil detector is embedded at the possible maximum queuing part of an advanced position of the main inductance coil detector and is used for assisting the main inductance coil detector to detect motor vehicles; pedestrian cross-street waiting areas at two ends of each pedestrian crossing are respectively provided with the video detector for detecting flow of crossing pedestrians; the traffic signal controlling machine carries out data exchange with the main inductance coil detector, the auxiliary inductance coil detector and the video detectors by data lines and simultaneously controls the signal lamps positioned at the pedestrian crossing and the road crossing by the data lines. According to the intelligent traffic signal control system, the safety and the passing efficiency of the cross-street pedestrians can be realized, and the passing rate of the motor vehicles is ensured.

A large-scale real-time traffic flow prediction method of the present invention is based on fuzzy logic and deep LSTM, which relates to a technical field of urban intelligent traffic management. The method includes steps of: selecting an urban road network scene to collect color images of real-time traffic flow congestion information; obtaining congestion levels of multiple intersections according to the color images, which are used in a data training set; and forming a data sensing end of FDFP through a fuzzy mechanism; establishing a deep LSTM neural network, performing deep learning on the training data set, and constructing a prediction end of the FDFP; construct a graph of road intersections and formulate a k-nearest neighbors-based discounted averaging for obtaining congestion on the edges; and inputting real-time traffic information received from a server into an FDFP model.

An improved method is provided for identifying road sections in a navigation database. The method includes: receiving a database update identifying at least one road intersection; constructing a logical representation of the road topology surrounding the at least one road intersection; and identifying the at least one road intersection in the navigation database by comparing the logical representation to a logical representation of the navigation database.

The invention discloses a method for controlling the signal priority of an emergency vehicle at an intersection based on a two-stage optimization process, which relates to a method for controlling the signal priority of an emergency vehicle at a road intersection, solves the problems that the emergency vehicle cannot be provided with absolute priority to pass by a condition priority control method in the prior art and is used for traffic control. The method comprises the following steps of: when the emergency vehicle requests the priority to pass the intersection, detecting the existence of the emergency vehicle and transmitting information to an intelligent signal controller subsystem; computing the time during which the emergency vehicle reaches the intersection from a detection position and the dissipation time of queuing vehicles in the entrance direction of the emergency vehicle according to the received emergency vehicle information and the information of the queuing vehicles onall driveways in different entrance directions so as to acquire the green time in other entrance directions; and providing the signal priority for the emergency vehicle according to the signal state at the current intersection so as to advance or delay the green time and reduce the delay time of other vehicles simultaneously.

The invention relates to a semi-flexible pavement base material and a preparation method thereof. The semi-flexible pavement base material comprises 20-75% of an aggregate, 22-75% of cement-emulsified bitumen mortar and 1-8% of water. Through adjustment and optimization of composition and compatibility of the cement, emulsified bitumen and aggregate, an adhesion state and a molded structure of the cement, emulsified bitumen and aggregate are improved so that the semi-flexible pavement base layer structure has ideal rigidity and flexibility, rutting resistance and cracking resistance of the semi-flexible pavement base layer structure are improved and water damage resistance and fatigue resistance of the semi-flexible pavement base layer structure are improved. The semi-flexible pavement base material and the preparation method thereof are mainly used for building and refurbishment of high-grade roads and urban roads and are especially suitable for easily-rutted road sections such as heavy-loaded traffic roads, road intersections, uphill and downhill of a road, a bus stop and a bus transit lane.

The invention relates to a road traffic signal controller system with the streetcar priority control function. The road traffic signal controller system comprises go-ahead traffic lights and front traffic lights, wherein the go-ahead traffic lights and the front traffic lights are used for indicating the driving state of a streetcar, the go-ahead traffic lights are located at a road intersection, the front traffic lights are located in front of the go-ahead traffic lights, a request detector is further arranged on a driving track of the streetcar and located in front of the front traffic lights, the request detector and the streetcar are both electrically connected with a streetcar interaction unit, the front traffic lights and the go-ahead traffic lights are both connected with a signal machine front end unit, and the streetcar interaction unit is connected with a traffic signal machine through the signal machine front end unit. Through the road traffic signal controller system, hybrid control over streetcars and social vehicles can be achieved, the priority of passing of streetcars can be effectively controlled, and the road traffic signal controller system is wide in application range, safe and reliable.

The invention relates to a traffic signal optimization control method for the vehicle queuing overflow state at road intersections, and overcomes the defect that an image monitoring and control signal lamp cannot apply to queuing overflow optimization control compared with the prior art. The method of the invention comprises the following steps: traffic flow parameters of a road intersection are acquired; the queuing length is calculated; the queuing overflow state at the road intersection is judged; and the green light time of an upstream intersection is calculated. The queuing length parameters and queuing overflow events are detected in real time by vehicle detectors installed at the entrances and the exits of road intersections, and balancing of the queuing lengths of all intersections in a region is realized by adjusting the green light time of traffic signal control, thus solving the problem of queuing overflow at intersections.

The invention discloses a novel control system and a novel control method for sensing and controlling road intersection group signals. Through constructing a method containing four steps of 360-DEG intersection panorama video real time monitoring and modeling, intersection assessment index and online simulation analysis, supersaturated intersection key path and control strategy optimization and intersection signal control optimization and panorama video acquisition robot linkage command and establishing an intelligent city traffic control robot based on an intersection group, a city road supersaturated intersection single-point operation optimization problem is solved, an intelligent command city road intersection, supersaturated intersection and supersaturated intersection group traffic control and optimization scheme is formed, moreover, the intelligent city traffic control robot based on the intersection group is employed, linkage between a panorama video acquisition robot and a traffic signals controller is realized, traffic efficiency and the service level of intersection single-point control are improved, so operation efficiency of a city traffic system is greatly improved, and city traffic jams are alleviated.

The invention discloses a method for identifying road intersection steering based on vehicle data collection. The method comprises the steps that S1, a traveling data sequence is transmitted to a data service center by a vehicle-mounted information terminal; S2, the traveling data and road intersection section information which are successfully matched are added to a road intersection section information set in a relevant mode and are stored by a data service center; S3, a history traveling track of a road intersection section is obtained according to the traveling data, a directed attribute relationship graph is generated according to the history traveling track, a GIS module is called to be matched with the directed attribute relationship graph so that steering information corresponding to the intersection section can be obtained; S4, the steering information corresponding to the intersection section can be counted and analyzed according to periods of time so that the counted result in each period of time can be obtained, and according to the counted result in a preset time span, specific steering information corresponding to the road intersection section can be identified. The invention further provides a system for identifying road intersection steering based on vehicle data collection.

A system and method for regulating the flow of traffic at a roadway intersection having one or more traffic signals by positioning a processor in the vicinity of the intersection to store cycle times of the traffic flow directions, mounting an RFID reader in the vicinity of each traffic signal in communication with the processor, interrogating with the RFID reader an RFID tag on each RFID-tagged vehicle at the roadway intersection to count the number of RFID-tagged vehicles present in each traffic flow direction at the roadway intersection, calculating an unused time slice of the cycle time for a first traffic flow direction at the intersection; reducing the cycle time for the first traffic flow direction in accordance with the unused time slice; and, increasing the cycle time for a second traffic flow direction at the intersection in accordance with the unused time slice.

The invention provides an arterial road green wave control method. The arterial road green wave control method is characterized by including the steps: building an arterial road dynamic green wave control model, and optimizing total delay time of vehicles passing through each road crossing by taking green time ratios of arterial road crossings under signal linkage control as variables; selecting multiple road crossings under signal linkage control and detecting real-time traffic flow of road segments among the arterial road crossings; solving the model according to the real-time traffic flow to obtain the green time ratio, shortest in total delay time, of each road crossing; making real-time timing plans according to the green time ratio of each road crossing. Traffic smooth rate can be increased by the arterial road green wave control method.

The invention discloses a road network model construction method used for the traffic navigation system and the traffic simulation system. The road network model construction method is used for storing the electronic map in the traffic navigation system and defining the virtual road network in the traffic simulation system. The construction method adopts the as the basic unit and adopts the directed graph as the abstract data structure; the model construction method includes the network entity description method, the lane connectivity description method, the intersection traffic rule description method and the method which adopts the XML format to store the road network data files. The road network model construction method has the advantages that the constructed road network model can realize the description of the contents, including the shape and position features of roads, the inter-road connective relation, the inter-lane connective relation, adjacent relation, steering limitations and the attribute information, and the traffic rules of the road intersections; the constructed road network model also can organize and manage great quantities of attribute and connectivity information.

The invention discloses a traffic network simplifying model and a navigating method based on same, belonging to buildings method of urban traffic network models. As for the model, road crossings are abstracted into nodes; a one-way street between every two nodes is abstracted into a directed arc; a two-way street between every two nodes is abstracted into two directed arcs, time spending weights are weighted on the directed arcs, and the data representing the time spending weights in a database is obtained by an external GPS (global position system) apparatus; and in the navigating method, the traditional Dijkstra algorithm is improved, and a time spending weight function cost (i, j, pre) is introduced. By the traffic network simplifying model and the navigating method disclosed by the invention, the navigation result of a path on which the vehicle spends minimum time can be obtained rapidly and accurately.

The invention relates to an intelligent traffic light control system comprising a microprocessor, a manual input device, an enforced switching device and an intelligent detecting device, wherein the microprocessor is used for controlling traffic lights, the manual input device is used for inputting control parameters of traffic light to the microprocessor, the enforced switching device is used for carrying a preferentially direct operation. The control system can automatically adjust the traffic light control parameters according to the changes of traffic flow in different directions, thereby increasing the traffic efficiency of intersection of roads and achieving a best control for traffic.

A vehicle detection method is implemented by an electronic device. The electronic device controls at least one image capture device to capture images of a road intersection governed by a traffic light, and to capture data as to vehicles using the road intersection. The traffic light includes at least one of a red light and a green light. By analyzing the images and vehicle data, the electronic device detects and identifies a vehicle illegally crossing the road intersection.

The invention provides a navigation system and a navigation method and device, wherein the navigation method comprises: calculating a navigation route based on a navigation request to obtain a guiding route; in a navigation process by the guiding route, detecting a distance between a current position and a next maneuvering crossing, which is a road crossing matched to prompt information in the navigation process; obtaining a distance represented by each screen pixel corresponding to each-grade display proportion of an electronic map, to determine a visual scope in the front of the current position under each-grade display proportion; adjusting the current display proportion of the electronic map, to make the visual scope and a detected current position adapted to the distance between the current position and the next maneuvering crossing. The technical scheme of the invention can implement automatic adjustment of the display proportion of the electronic map in the guiding process, to make sure that the next maneuvering crossing can always be properly displayed in the visual scope in the front of the current position.

An improved method is provided for identifying road sections in a navigation database. The method includes: receiving a database update identifying at least one road intersection; constructing a logical representation of the road topology surrounding the at least one road intersection; and identifying the at least one road intersection in the navigation database by comparing the logical representation to a logical representation of the navigation database.

The invention discloses an auxiliary driving system and method for rapid passing of a vehicle in a crossing. The system comprises an information collection module, a vehicle positioning module, a barrier identification module, a database module, a signal lamp information module, a vehicle auxiliary decision module and an automobile power system. According to technical features of road traffics and physical features of drivers, a method including guiding information through which each crossing can be passed rapidly and smoothly and a vehicle in front can be overtaken is provided for the driver in the driving process, the guiding information including whether to overtake, the concrete driving speed and the like, and thus, when the vehicle is driven according to the guiding speed and manner, the crossing can be passed without stop, and core technical support is provided for development of Internet of vehicles and automatic driving technologies.

The invention discloses an optimization method for signal coordination control of urban road intersections under an over-saturation condition. Compared with the prior art, based on analysis of upstream and downstream traffic stream states of adjacent intersections, through using the wave theory for reference, and by comparing sizes of stop waves of upstream intersections and start waves of downstream intersections as well as vehicle queue conditions of upstream intersections in an artery direction, status values of signal control intersections are determined, and the signal coordination control reliable interval (phase difference) under different states is obtained, accordingly, queue overflow of over-saturation intersections can be controlled within a certain range, the probability of deadlocks at the over-saturation intersections can be reduced greatly, and the queue overflow becomes beneficial self-adjustment of the road intersections under the over-saturation condition.

The invention provides a device which relates to road vehicle information measuring field. Said device comprises a GMR sensor, a filter denoising unit, a differential amplification unit, a DC bias unit, a second-level amplification unit, a blocking filter unit, a hysteresis comparison unit, a dynamic adjustment unit, a control unit and a RF unit. Said realization method is: a bias magnetic field is set beside the GMR sensor, the sensor output changes when a car passing by the magnetic field; the device judges the passed car through the changes by using the sensor, and transmits the measured vehicle flowrate into base station through RF and controls or saves. The device has broad prospect in road vehicle measuring, park management, road crossing management etc.

The invention belongs to the technical field of urban road traffic control, particularly to an urban road traffic multiobjective optimization control method. The method comprises the following technical schemes of: establishing a multiobjective optimization control model, optimizing the cycle and the split green ratio by adopting a cyclic discrete variable positive and negative stepwise bidirectional adjustment method, adding constraint conditions in the multiobjective optimization control model and solving the multiobjective optimization control model by adopting a genetic algorithm. The invention realizes traffic control, not only satisfies requirement for traffic stream rapid evacuation, but also meets requirement for traffic stream equilibrium distribution, and improves the service level of road intersections.