39 results about "Dual carriageway" patented technology

The invention discloses a double-lane road local road section single-lane alternate traffic signal dynamic timing method. The method comprises the following steps: determining a local road section traffic influence range of an event; collecting traffic flow data, and analyzing traffic flow characteristics; calculating a delay-based small vehicle equivalent quantity, and calculating a large vehicle adverse impact factor; constructing a signal dynamic timing method for alternate passage of road sections affected by double-lane road events; according to the method, a signal timing optimization model based on dynamic traffic flow characteristics is constructed, traffic flow data, including actual passing time, vehicle model proportion, actual arrival traffic volume and the like, of an event influence road section are collected in real time according to a special scene of an alternate passing road section of a double-lane road, and a signal period and a phase timing scheme are dynamically adjusted. The method can quickly adapt to the traffic fluctuation of the alternate passage road section, reduces the vehicle delay under manual command, improves the vehicle passage efficiency, and enhances the flexibility and dynamic adaptability of the signal timing of the alternate passage road section of the double-lane road.

The invention discloses an automatic driving vehicle test scene generation method, system and device and a medium, and relates to the technical field of dangerous scene generation, and the method comprises the steps: generating an initial scene based on a lane coordinate system; building a one-way single-lane car-following scene; the method specifically comprises: creating roads and vehicles based on an initial scene; the vehicle comprises an automatic driving vehicle and an intelligent body vehicle based on the IDM model; building a one-way double-lane vehicle switching scene; the method specifically comprises the steps of creating double lanes and vehicles based on an initial scene; the vehicle comprises an automatic driving vehicle and an intelligent body vehicle based on the IDM model; according to the established one-way single-lane car-following scene and the one-way double-lane car-switching scene, generating a dangerous scene for testing the automatic driving vehicle; according to the method, the dangerous scene of the automatic driving system is efficiently and accurately generated, so that the test is accelerated, and the performance and the safety of the automatic driving system in a complex and high-risk environment are verified.

The invention provides an automatic wharf field bridge equipment scheduling method, system and device and a storage medium. The method comprises the steps that all operation tasks in a field bridge equipment operation area coverage range are retrieved and sorted to form a first task list; filtering and selecting the job tasks to form a second task list; matching the operation task with the field bridge equipment to form a task matching list; and the state of the field bridge equipment is retrieved in real time, when it is retrieved that the equipment is idle, the task matching list is retrieved, the operation task correspondingly matched with the idle equipment is found for task distribution, and the field bridge equipment executes the distributed operation task. Aiming at an automatic wharf process with loading and unloading and double-side double-lane layout of a storage yard, factors such as an operation type, waiting time of horizontal transportation equipment, a predicted operation position of the horizontal transportation equipment, a running distance of yard bridge equipment, balance workload of the yard bridge equipment and the like are fully considered during task sorting; and the equipment energy consumption is reduced while the turnover efficiency of the operation boxes in the storage yard is improved.

The invention relates to the technical field of lane modeling, and discloses a VISSIM-based expressway virtual emergency lane modeling method, which comprises the following steps of: constructing an expressway driving rule of a virtual emergency lane; the emergency rescue time of the virtual emergency lane is divided, and the time before opening and the opening time of the virtual emergency lane are determined according to the divided emergency rescue time; constructing a virtual emergency lane control strategy model according to the pre-opening time and the opening time based on expressway driving rules; and determining the number of accident closed lanes, and dividing the virtual emergency lane control strategy model into a single-lane closed control strategy model, a double-lane closed control strategy model and a three-lane closed strategy control model according to the number of accident closed lanes. According to the method, the virtual emergency lanes are used under different traffic conditions, the effects are different, the virtual emergency lanes are started for emergency rescue, the pre-hospital rescue time can be shortened, and the accident rescue efficiency is improved.

The utility model discloses a kitchen waste double-truck unloading device which comprises a bin body, the bin body is provided with a length direction and a width direction, the top of the bin body is provided with two feeding ports which are arranged side by side in the length direction, and each feeding port can be independently opened or closed; a discharging opening is formed in the bottom of the bin body and located between the two feeding openings in the length direction; the two hydraulic push plate systems are located on the two sides of the bin body in the length direction of the bin body correspondingly. Any hydraulic push plate system comprises a hydraulic cylinder and a push plate capable of sealing the corresponding side of the bin body, and the push plate can be driven by the hydraulic cylinder to move in the length direction relative to the bin body. According to the double-vehicle discharging device for the kitchen waste, the utilization rate of stored materials can be improved under the condition that double lanes are adopted.

To provide a road that allows a vehicle that should be entering the correct lane to enter the wrong lane to return to the correct lane smoothly and safely, reduces congestion, delays, and resulting traffic accidents for vehicles traveling on both the correct and wrong lanes, and maintains a high traffic flow rate. [Solution] The road structure for guiding vehicles traveling in the wrong direction according to the present invention has a first double-lane road (10), a second double-lane road (20), and a central median (30), A predetermined central bypass road (40) is provided in the aforementioned central median (30). It is characterized by having a fence (50) to guide vehicles traveling in the wrong direction and / or a fence (60) to guide vehicles traveling in the right direction.

The application discloses a track type robot for putting out fire blanket in a tunnel, and particularly relates to the technical field of fire extinguishing devices, which comprises a fixing cover, a rack slide rail is arranged in the fixing cover, a moving frame is connected to the outside of the rack slide rail, two symmetrical motors are arranged on the top of the moving frame, gears are connected to the output ends of the two motors, a hydraulic cylinder is arranged on one side in the moving frame, a fire extinguishing assembly is arranged on the extension end of the hydraulic cylinder, and a fire extinguishing liquid tank is arranged at the bottom of the fire extinguishing assembly; the connecting rod is above the vehicle through the rotation of the steering seat driven by the motor, and the robot can adjust the coverage range of the fire blanket device in real time through the linkage design of the electric push rod and the extension rod, so that the fire extinguishing demand of double lanes or large-area fire can be met; during the putting process, the cooperation of the steel wire rope and the counterweight rod can automatically tighten the fire blanket after the fire blanket is lowered, so that the fire blanket can be closely attached to the vehicle, effective isolation can be achieved, and the fire extinguishing efficiency can be remarkably improved.

The invention discloses a multi-sensor bev splicing view lane line detection method, which comprises a single lane line detection method and a double lane line detection method, can output instantiated lane lines with various inclination angles through lane line coding and decoding modes, and can output two instantiated single lines and two instantiated lane lines for double lane line detection. According to the invention, the method can achieve the detection of the stop line, also can output a virtual center line, can instantiate and bind the topological relation of two lines, provides abundant lane line information for downstream positioning, reduces the calculation power for the detection of the stop line and the output of the lane line in a network architecture, and provides a new thought for the detection of the lane lines with various inclination angles.

The invention relates to the technical field of coal dust suppression, in particular to an automatic start-stop steam coal car double-lane dust suppression spraying device which comprises two portal frames, a license plate recognition barrier gate all-in-one machine, a vertical plate and a control room. Two license plate recognition barrier gate all-in-one machines are arranged on the rear sides of the two portal frames, the number of the vertical plates is four, the four vertical plates are arranged on the rear sides of the two license plate recognition barrier gate all-in-one machines correspondingly, infrared sensors are fixedly installed on the side faces of the upper ends of the four vertical plates correspondingly, and the control chamber is in an L shape. According to the double-lane dust suppression spraying device for the automatic start-stop coal car, double-lane simultaneous operation can be achieved, compared with traditional single-lane equipment, the passing efficiency is improved by more than 50%, the problem of port coal car congestion is effectively avoided, manual intervention is not needed, the operation efficiency is improved by 80% compared with manual control, and meanwhile potential safety hazards of manual operation are eliminated.

This application provides a method for rapid extraction of damaged bridges from a large visual model with zero samples in emergency scenarios. It relates to the field of disaster-damaged bridge extraction technology. The method includes: extracting bridge linear features from road data; merging two bridge linear features representing two lanes into a single-lane feature to obtain bridge linear data; and using auxiliary data for spatial location correction and attribute fusion to obtain a disaster-time bridge linear database; extracting bridge images; inputting the bridge images and preset prompts into a large model; outputting bridge status and bridge features; determining the bridge damage based on the output bridge status; and associating the disaster-time bridge linear database to match corresponding bridge geographic information to obtain the geographic information of the damaged bridge. This application enables rapid association and accurate acquisition of geographic information of damaged bridges in emergency scenarios, significantly shortening the disaster damage assessment cycle and providing efficient data support for disaster relief decision-making.

The present invention relates to the field of intelligent transportation, and in particular to a method for optimizing the merging sequence of mixed traffic flows on a highway based on tree search, comprising the following steps: S1, constructing a traffic scene of a two-lane main road and a single-lane ramp, and recording the current queue block merging sequence; S2, when a new queue block enters a control area, using tree search to obtain the optimal merging sequence containing the current queue block; S3, based on the optimal merging sequence obtained by the search, using the Pontryagin principle to solve the optimal driving trajectory of the vehicles in the queue block; S4, the head vehicle in the queue block drives according to the optimal driving trajectory, and the rest of the vehicles drive according to the following model to achieve merging. The present invention relies on the Internet of Vehicles technology to obtain the status information of the vehicle queue blocks in the main roads and ramps in the control area of ​​the highway in real time, and uses the controllability of CAV to complete the safe and efficient merging of the HDV in the queue block by searching for the optimal merging sequence and controlling the speed and lane change of the CAV.

The invention discloses a double-lane outer side geomagnetic vehicle track continuous reconstruction method and system for multiple leak detection, and is suitable for a scene in which geomagnetic sensors are arranged on outer side lane lines of two sides of a one-way double lane and are not arranged in the middle. And taking the event-level geomagnetic detection result as input, establishing a time index cache sorted according to measurement timestamps in a data center, and processing out-of-order events in a fixed lag sliding window. Self-calibrating the omission ratio of each sensor group on line based on the output stable track segment and obtaining the reliability; constructing an event transfer graph allowing to cross a plurality of sensor groups, accumulating detection-lacking punishment according to the reliability of the intermediate sensor group, and forming connection cost by combining time-space and feature consistency; and solving the minimum total cost connection under one-to-one constraint to obtain a trajectory path. And connecting the cross-missing section to generate a virtual track point and outputting a stable track section in a fixed lag manner. According to the invention, waveform level processing or additional hardware is not needed, and track continuity and online output stability can be improved.

The invention discloses a double-lane vehicle operation control method, device and equipment in a mine and a storage medium, and relates to the technical field of mine car control, and the method comprises the steps: after a current vehicle is started, continuously transmitting radio wave signals of different angles to the front of a lane; a reflection signal of an obstacle on the front lane for the radio wave signal is received, obstacle information of the front lane is determined based on signal feature information of the reflection signal, and the obstacle information comprises an obstacle type, an obstacle moving speed and an obstacle position; based on the obstacle moving speed and the obstacle position, the real-time distance between the obstacle and the current vehicle is judged, and a vehicle meeting or avoiding scheme is generated according to the obstacle type when the real-time distance is smaller than or equal to a preset threshold value; and the current vehicle is controlled to execute the meeting or avoiding scheme until obstacle avoiding or meeting operation is completed. According to the invention, equipment loss and manpower cost increase can be reduced, and the requirements of mine intelligent production on precision and high efficiency of double-lane vehicle operation control are met.

The present invention belongs to the field of active automotive safety technology and discloses a high-beam linkage lighting device and method for a bidirectional, two-lane conventional highway tunnel. The device and method comprise a dynamic high-beam recognition system, a delayed tunnel lighting adjustment system, and a wireless communication module. The dynamic high-beam recognition system calculates the speed, average speed, and volume of vehicles at each sampling point in the tunnel, determines whether a vehicle's high beams are on, and marks the light intensity of vehicles with high beams on. The delayed tunnel lighting adjustment system then generates lighting control information to adjust the light intensity and color temperature of the tunnel lighting device. This device and method achieve dynamic delayed lighting in the tunnel that reduces the negative effects of high beams. The entire adjustment process is smooth, helping drivers adapt to light changes and reducing the irritation and discomfort caused by changes in the lighting device's light intensity and color temperature.

The present invention discloses a method, system, device and medium for generating a test scenario for an autonomous driving vehicle, and relates to the technical field of dangerous scenario generation. The method comprises: generating an initial scenario based on a lane coordinate system; constructing a one-way single-lane following scenario; specifically comprising: creating roads and vehicles based on the initial scenario; the vehicles comprise an autonomous driving vehicle and an intelligent vehicle based on an IDM model; constructing a one-way two-lane cutting scenario; specifically comprising: creating a two-lane and vehicles based on the initial scenario; the vehicles comprise an autonomous driving vehicle and an intelligent vehicle based on an IDM model; generating dangerous scenarios for autonomous driving vehicle testing based on the constructed one-way single-lane following scenario and one-way two-lane cutting scenario; the method efficiently and accurately generates dangerous scenarios for autonomous driving systems to accelerate testing and verifying the performance and safety of autonomous driving systems in complex and high-risk environments.

A method, system, apparatus, and medium for generating critical scenarios in autonomous driving tests are provided. The method includes: generating an initial scenario based on a lane-coordinate system; constructing a one-way single-lane car-following scenario, specifically including: creating a road and vehicles based on the initial scenario, the vehicles including an autonomous vehicle controlled by an intelligent driving model (IDM) and an agent vehicle; constructing a one-way dual-lane cut-in scenario, specifically including: creating a dual-lane road and vehicles based on the initial scenario, the vehicles including an autonomous vehicle controlled by the IDM model and an intelligent-agent vehicle; and generating, based on the constructed one-way single-lane car-following scenario and the constructed one-way dual-lane cut-in scenario, critical scenarios for autonomous-vehicle testing. The method efficiently and accurately produces critical scenarios for autonomous-driving systems, thereby accelerating the testing and verification of their performance and safety in complex, high-risk environments.

The utility model discloses a road marking detection device which comprises a main arm, the main arm is installed at the front end of a vehicle body through a connecting base in the horizontal direction, main lasers which are arranged downwards are installed below the two ends of the main arm in the length direction, two auxiliary arms which are arranged in a staggered mode are installed in the main arm, and the main arm and the auxiliary arms are each of a hollow structure. The auxiliary arm and the main arm are connected through a telescopic cylinder, one end of the auxiliary arm extends out of the interior of the main arm, an auxiliary laser arranged downwards is installed at the bottom of the extending end, and the auxiliary laser and the main laser are located at the same horizontal height. The road marking detection device provided by the utility model not only can be used for effectively detecting a single-lane marking, but also can be used for synchronously detecting a double-lane or three-lane road marking, so that the road marking detection efficiency is remarkably improved, and the application range is widened.

The invention provides a method for rapidly extracting a bridge damaged by a zero-sample visual large model in an emergency scene. Relates to the technical field of disaster damage bridge extraction. The method comprises the following steps: extracting bridge linear elements from road data, combining two bridge linear element lines representing double lanes into single lane elements to obtain bridge linear data, and performing spatial position correction and attribute fusion by using auxiliary data to obtain a disaster bridge linear database; extracting a bridge image; inputting a bridge image and a preset cue word into the large model, outputting a bridge state and a bridge feature, determining the damage condition of the bridge based on the output bridge state, associating the bridge linear database in disaster to match the corresponding bridge geographic information, and obtaining the geographic information of the damaged bridge. According to the method, the geographic information of the damaged bridge in the emergency scene can be quickly associated and accurately acquired, the disaster damage assessment period is greatly shortened, and efficient data support is provided for rescue and relief decision.

The invention discloses a suspended double-track bus, and relates to the technical field of public transportation, and the suspended double-track bus comprises a bus body elevated above a road, magnet tracks arranged on two sides of the road, and a liquid nitrogen supplementing facility arranged on a platform; the bus body is provided with a door type structure stretching across the two lanes, the superconducting magnet is stably suspended on the magnet track through the vehicle-mounted low-temperature maintaining system, and the frictional resistance during vehicle running is effectively reduced. The mechanical guiding and driving system is used as safety redundancy when suspension fails while ensuring direction control and power output. The double-layer door type structure provides large-capacity passenger carrying space and allows social vehicles to normally pass below, so that the utilization rate of road space is increased. A liquid nitrogen supplementing facility arranged on the platform can supplement a cooling medium when the vehicle is parked, and continuous operation of the system is supported. The system provides a low-energy-consumption and high-efficiency transportation mode for urban public transportation.

The invention discloses an active risk prevention and control method for an interchange exit ramp. The method comprises the following steps: step 1, arranging equipment; 2, transmitting continuous image frames shot in real time to an edge calculation unit; 3, the edge calculation unit recognizes a vehicle from continuous image frames shot by each camera through a target detection algorithm, and an abnormal parking event is judged; 4, the edge calculation unit sends dangerous event information to a control center, if the exit ramp is a single lane, the step 5 is carried out, and if the exit ramp is a double lane, the step 6 is carried out; 5, the edge calculation unit controls the ETC information board and the variable information sign to be displayed; and 6, performing condition judgment according to the parking position and the width of the remaining lane. According to the invention, accidents caused by collision between a driver and a ramp stop vehicle due to a view blind area can be effectively avoided, the driving safety is improved, the response time is short, vehicles not entering the ramp can be quickly prevented and controlled, and the initiative of the system is improved.

A passage control method and device for an autonomous vehicle, and an autonomous vehicle. The method comprises: before an autonomous vehicle arrives at an entrance of a single-lane bidirectional passage area, acquiring vehicle information in the single-lane bidirectional passage area, wherein an exit of the single-lane bidirectional passage area is connected to a dual-lane bidirectional passage area (S201); when it is determined, on the basis of the vehicle information, that another vehicle is present in the single-lane bidirectional passage area, acquiring a traveling state of the another vehicle, and determining a passage strategy of the autonomous vehicle on the basis of the traveling state (S202); and when it is determined, on the basis of the vehicle information, that no another vehicle is present in the single-lane bidirectional passage area, and it is detected that a moving vehicle traveling towards the exit is present in the dual-lane bidirectional passage area, judging priorities of the moving vehicle and the autonomous vehicle on the basis of a preset priority rule, and determining a passage strategy of the autonomous vehicle on the basis of the judgement result (S203). Coordinated yielding for single-lane bidirectional passage is realized, thereby ensuring efficient operation of a mining autonomous driving system.

The invention discloses a road traffic simulation method based on a cellular automaton model and related equipment, and relates to the technical field of traffic, and the method comprises the steps: constructing a non-signal-control T-shaped intersection scene, and adding a non-signal-control T-shaped intersection on a one-way double lane provided with a roadside bus station; modeling is carried out on main road vehicle behaviors and branch road vehicle behaviors in the non-signal-control T-shaped intersection scene; constructing a signal control T-shaped intersection scene, namely adding a signal control T-shaped intersection on a one-way double lane provided with a roadside bus station; modeling is carried out on main road vehicle behaviors and branch road vehicle behaviors in the signal control T-shaped intersection scene; and road traffic simulation is carried out by using vehicle behaviors in the non-signal-control T-shaped intersection scene and the signal-control T-shaped intersection scene. According to the method, the intersections and the bus stations are considered during modeling aiming at the scene of the mixed traffic flow on the urban road, and the vacancy in the prior art is filled.

The invention provides a double-lane tunnel karst joint detection system based on geological radar and infrared detection, and the system comprises two groups of side plates, and the back surfaces of the side plates are fixedly provided with vertical rods; the storage plates are fixed to the two ends of the inner sides of the side plates and the tops of the vertical rods correspondingly, inserting plates are slidably inserted into the two storage plates, the side plates, the storage plates and the inserting plates define a frame structure, and the size of a frame formed by the storage plates, the inserting plates and the side plates is adjusted to be consistent with the width of a tunnel. The installation assembly slides along the tops of the two sides of a frame composed of the storage plate, the insertion plate and the side plates, the geological radar detection device detects the tunnel ground in a segmented mode, the geological radar detection device descends to be close to the ground during each time of detection, and the existing geological radar detection technology is used for tunnel karst detection. And meanwhile, the infrared detection assembly carries out infrared detection on the arc-shaped interior of the tunnel, and synchronism of ground detection of the geological radar detection device is kept.

The invention discloses an automobile incoming material manipulator sampling system, which comprises a manipulator unit provided with a sampling drill rod and used for sampling automobile incoming materials; the manipulator moving unit comprises a rail unit and a driving unit, the rail unit comprises a longitudinal rail and a transverse rail, and the manipulator unit is movably arranged on the rail unit through the driving unit; the sample preparation unit comprises a crushing mechanism, a feeding division mechanism, a sample collecting mechanism and a material discarding mechanism, the feeding division mechanism is located at an outlet of the crushing mechanism, and the sample collecting mechanism and the material discarding mechanism are located at an outlet of the feeding division mechanism. According to the invention, the intelligent manipulator unit is adopted to perform automatic sampling and sample preparation on clean coal, the stability problem of transverse and longitudinal movement of the manipulator is solved, for double-lane coal entering a factory, the coal entering the factory can be sampled by only one set of manipulator unit, the occupied area is reduced, the building cost is reduced, and the sampling period is shortened.

The invention relates to a method for the automated lane change of a motor vehicle (1) from a first lane (3a) of an at least two-lane traffic lane (2) into an adjacent second lane (3b). According to the method, the motor vehicle (1) travels on the first lane (3a) in a semi-automated manner. In this case, a driver (F) of the motor vehicle (1) does not touch a steering wheel (4) of the motor vehicle (1) in order to adjust the direction of travel (FR) of the motor vehicle (1) while driving on the first lane (3a). In addition, the proposed lane change from the first lane (3a) into the second lane (3b) is carried out automatically by the motor vehicle (1) after the driver has confirmed the suggestion for the lane change (SW) during the semi-automated driving of the motor vehicle (1) on the first lane (3a). According to the invention, the suggestion is confirmed by the driver (F) at least temporarily touching the steering wheel (4).

A spectacle eyewear device and methods for using a spectacle eyewear device to attenuate glare experienced by a person while driving a car during nighttime hours. The lenses of the spectacle eyewear device provide spatially non-uniform light attenuation using an optical filtering material that is gradiently disposed along an gradient axis oriented between 10 degrees to 30 degrees away from the vertical axis of the lenses. In some variations the average visible light transmittance in a first quadrant of the lenses is less than 30 percent and is greater than 70 percent in a second quadrant. In some variations the lenses comprise a selectively disposed blue-light reflective coating. In some variations the spectacle eyewear device is configured for use on urban city streets and freeways. In some variations the spectacle eyewear device is configured for use on country roads and two-lane highways.

This invention discloses a vehicle guidance method for long tunnels based on radar-visual fusion data. This method considers the impact of slow-moving vehicles on actual road traffic, analyzes vehicle trajectory information to identify multiple slow-moving vehicles, and predicts two-lane travel times based on historical slow-moving vehicle trajectory data. By comparing the travel times of the two lanes within the tunnel and displaying them on variable information boards at the tunnel entrance, it guides vehicles to change lanes and provide speed guidance. This method is simple and easy to implement, exhibits excellent real-time performance and adaptability, and can improve lane utilization and enhance road traffic efficiency.

The invention belongs to the technical field of automobile active safety, and discloses a bidirectional double-lane ordinary highway tunnel high beam linkage lighting device and method, and the device comprises a dynamic high beam recognition system, a delayed tunnel lighting adjustment system and a wireless communication module. The speed, average speed and traffic flow of vehicles at each sampling point in a tunnel are calculated through a dynamic high beam recognition system, whether high beams of the vehicles are turned on or not is judged, the light intensity of the vehicles turning on the high beams is marked, and lighting control information is generated through a delayed tunnel lighting adjustment system, so that the light intensity and color temperature of a tunnel lighting device are adjusted; by means of the device and the method, dynamic delayed illumination capable of reducing negative effects of the high beam in the tunnel can be achieved, the whole adjusting process is smooth, a driver is helped to adapt to light changes, and stimulation and discomfort caused by changing of light intensity and color temperature of the illumination device are reduced.

The invention discloses a unified association centralized monitoring data management system for multiple traffic electromechanical devices. The system comprises a traffic road topology construction vehicle data access module, a multi-road dynamic region division monitoring and marking module, a road vehicle single-block lamplight state monitoring and screening module, a multi-block vehicle lamplight opening association analysis module, a background illumination system remote control decision module and an equipment sharing linkage platform. The method aims at obtaining real-time traffic monitoring system data to construct a target road topological graph, judging the traffic direction attribute of a current monitoring road, carrying out multi-position dynamic block division on the target road, dynamically identifying single monitoring areas of the target road under different fixed-point timestamps to carry out refined image analysis, and carrying out real-time traffic monitoring on the target road. And carrying out screening and brightness quantitative detection on vehicle body light turn-on conditions of vehicles in the block, executing association analysis of single-lane and double-lane differentiation of the target road based on road traffic direction attributes, and judging the continuity and growth trend of the traffic lighting demand of the target road.