653 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.

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.

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.

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.

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.

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.

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 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 varying-period signal coordinating and controlling method of road intersections. The method solves the problems that main road intersection signal coordinating and controlling methods in the prior art cannot flexibly conduct optimization or adjustment of the period, scheme and phase difference of traffic signal control in real time according to traffic flow changes. The method effectively improves the green light utilization rate and passing capability of road intersections, reduces the frequency of vehicle stopping, ensures main road green wave coordination and control effect, achieves quick transition of signal coordinating and controlling schemes at the same time, and eliminates influence to traffic caused during the scheme transition. The method monitors traffic flow data of each intersection in real time, calculates the optimal coordinating and controlling common period in real time, optimizes and adjusts city main road traffic signal coordinating and controlling schemes, selects the optimal phase difference, enables the main road traffic signal coordinating and controlling schemes to adapt to road traffic flow changes quickly, and thus improves the effect of main road traffic signal coordinating and controlling.