1039 results about "Traffic efficiency" patented technology

A method is provided for enhancing safety and traffic efficiency for vehicles transmitting information on an expected behavior of a driver of an ego vehicle in response to a stimulus including the steps of (i) sensing a parameter of the stimulus in order to generate a stimulus signal function of the sensed parameter, (ii) monitoring the stimulus signal function of the sensed parameter, (iii) calculating an expected future driver's behavior in response to the stimulus using said stimulus signal, (iv) comparing the expected future driver behavior with a standard driver behavior, and (v) emitting a warning signal to the surrounding of the ego vehicle in case the expected future driving behavior is not a standard behavior. Additionally, a system operating according to said method is disclosed.

The invention provides an expressway entrance ring road converging zone guiding control system and method. The expressway entrance ring road converging zone guiding control system comprises intelligent car-mounted equipment and a road side converging guiding controller. The road side converging guiding controller is arranged within a certain distance range from a ring road connecting-in point on the outer side of an expressway. The certain distance range is a preset value. The intelligent car-mounted equipment comprises a car information collecting module, a car-mounted end wireless communication module and an information displaying module. The road side converging guiding controller comprises a road side end wireless communication module and an intelligent analysis module. According to the system and method, the converging traffic state of a converging zone can be collected and analyzed quickly and effectively, cars on a main road and the conveying zone are guided intelligently, traffic accidents are avoided, and the traffic efficiency and the safety of the expressway are improved.

The invention relates to a traffic control method and system based on an intersection group.The method comprises the steps that 1, 360-degree panoramic video of intersections is dynamically collected in real time through an intelligent robot, an intersection operation model is established according to video data, and traffic characteristics of the intersection group are analyzed according to the intersection operation model; 2, intersection index evaluation and online simulation analysis are conducted according to the traffic characteristics, and the traffic operation state of the intersection group is identified; 3, supersaturation state intersection signal timing control scheme optimization is conducted on critical paths of a supersaturation state intersection group, and a supersaturation state intersection group traffic signal control strategy is adjusted; 4, the adjusted intersection group traffic signal control strategy is operated, and steady-state operation of an intersection control signal timing optimization scheme and linkage command of the intelligent robot are achieved.By means of the traffic control method and system based on the intersection group, traffic efficiency and service level of intersection single point control can be improved, and therefore the operation efficiency of an urban traffic system is greatly improved, and urban traffic jams are relieved.

The invention discloses an on-vehicle traffic light assisting device in the technical field of intelligent transportation, which comprises a traffic light map module, a global positioning system (GPS) module, an image sensor, a traffic light detection and identification module, a lane identification module and a traffic light state display and prompting early warning module. The on-vehicle traffic light assisting device solves the problems of safe driving of groups with visual disturbance such as color weakness, color blindness and the like, can reduce the probability of traffic accidents caused by the running of the red light of a driver under exceptional conditions, and improves transportation efficiency at crossings.

The invention discloses a vehicle-road collaborative vehicle-mounted terminal application system based on LTE-V. In the system, the vehicle maintains wireless short-wave communication with other vehicles and roadside equipment in real time by utilizing the characteristics of low delay and high coverage range of LTE-V communication, and interacts information with a vehicle-road collaborative background server through a 4G network. The method comprises the following steps: receiving real-time state information of other vehicles; The method comprises the following steps of: sensing surrounding traffic conditions by traffic participant real-time information sent by roadside equipment, and judging and analyzing a map road relationship, a road distance and collision time between a vehicle and other traffic participants, traffic signs or events according to the vehicle state information and local lane track point map information; According to different traffic scenes judged by the system, a driver is reminded of different traffic events and early warning information through visualization, so that the driving safety is enhanced, and meanwhile, the traffic efficiency is improved.

The invention, which belongs to the technical field of unmanned vehicles, relates to a dynamic obstacle avoiding method based on collision detection. A desired vehicle trajectory is constructed by initial planning; according to a received dynamic obstacle prediction trajectory and the desired vehicle trajectory, collision detection is performed; the driving speed and / or path of the vehicle are / isplanned again to obtain collision-free driving speed and / or path data of the vehicle are obtained; and a desired vehicle trajectory is reconstructed to avoid the dynamic obstacle. Therefore, the unmanned vehicle can avoid the dynamic obstacle autonomously. According to the invention, with the collision detection method for the automatic driving vehicle, the high collision detection accuracy is ensured and the collision detection efficiency is improved in a dynamic environment. On the basis of the re-planning method, the high traffic efficiency, the high traffic smoothness and the good trafficsafety effect are considered simultaneously.

The invention provides a vehicle and road collaborative information-based signalized intersection vehicle speed guidance system, which comprises an information communication module, an information acquisition and processing module, a vehicle speed guidance and suggestion module and a vehicle safety early-warning module. The information acquisition and processing module is used for acquiring the information of a vehicle through the acquisition and processing process of the combination of a GPS and an INS. The information acquisition and processing module is also used for acquiring the information of a preceding vehicle and the signal state information of an annunciator via the information communication module. By means of the vehicle speed guidance and suggestion module, after the entrance of the above vehicle into a guidance range, whether the vehicle is within the range of lane-changing-allowable road segments or not is judged based on the vehicle information within the guidance range and the signal state information of the annunciator. Meanwhile, the vehicle speed guidance and suggestion module provides a vehicle speed guidance suggestion and a driving lane suggestion to the vehicle. The vehicle safety early-warning module calculates a safety margin value between two vehicles according to the information of the vehicle and the information of the preceding vehicle, and then judges the collision risk state of the vehicle according to the safety margin value. According to the invention, the real-time position of the vehicle, the real-time speed of the vehicle and the mutual influence among vehicles are fully contemplated. In this way, when the vehicle passes through a signalized intersection, the stop delay of the vehicle is reduced. Therefore, the traffic efficiency of roads is improved and the environmental pollution is reduced.

The invention relates to an intelligent traffic control system for controlling traffic stream in intersection. The control system is composed of a traffic signal controller, a center computer, an Ethernet communication system, a traffic lamp in intersection, and related equipment. The traffic signal controller adopts a high-accuracy real-time clock chip for providing accurate clock signal and effectively improving the accuracy of time sequence of lamp color and simultaneously can display and set time and calendar information. The traffic signal controller has a vehicle inductive detection control interface for inputting real-time traffic stream information. The microprocessor of the signal controller system can an I / O port expanded by a programmable logic controller CPLD and is used for driving the traffic lamp after photoelectrical isolation and drive circuit so as to achieve reliable color output of traffic lamp. In the invention, the signal controller is directly connected with the Ethernet through the Ethernet controller, which can effectively improve the data transmission real-time performance and reliability. The monitor center analyzes and processes the traffic stream data according to the history traffic stream information as well as the real-time traffic stream information of each intersection, and generates an optimal control scheme by an intelligent optimization method, thereby achieving regional coordination control of urban traffic stream and maximally improving the traffic efficiency of the urban traffic stream.

The invention discloses a traffic-priority-based lane change danger collision avoiding method which comprises the following steps of: acquiring running information and traffic priorities of a vehicle and surrounding vehicles; if the running vehicle is set as a vehicle M, and a vehicle running in a target lane is set as vehicle D, when the vehicle M is ready to change lane, computing the safe lane change time of the vehicle M, wherein the computed permitted maximum safe lane change time t2 is taken as a safe lane change time threshold; carrying out safe lane change time evaluation, and intervening the braking of the vehicle M or the vehicle D according to the priorities when the time is not safe enough; and computing the safe lane change time of the vehicle M again until the lane change of the vehicle M is completed. According to the invention, possible collision can be efficiently and correctly judged in real time through comprehensively analyzing and predicting state information of a plurality of vehicles; through giving direct visual prompt to drivers and performing braking intervention on the vehicles, the life safety and property safety of the drivers in the lane change process are ensured; and for the vehicles with higher traffic priorities, the prior passing of the vehicles in the running process can be ensured, and thus the traffic efficiency is ensured.

The invention proposes a signal control intersection vehicle speed guiding system and guiding method in a vehicle road coordination environment on the basis of the characteristics of the vehicle roadcoordination environment. The system includes a vehicle-mounted device, a roadside device, and a vehicle speed guiding module. The vehicle-mounted device includes a vehicle-mounted information moduleand a vehicle-mounted early-warning module. The vehicle-mounted information module transmits the state information of the vehicle to the roadside device or other vehicle-mounted devices. The vehicle-mounted early-warning module calculates a safety threshold between the vehicles according to the real-time state information of the vehicle and the preceding vehicle, and performs dangerous pre-judgment warning on the vehicle according to the threshold. The roadside device comprises a roadside information acquisition module, a basic information storage module and a wireless communication module, and has the functions of storing, transmitting and calculating. The vehicle speed guiding module provides the lane guiding information and the vehicle speed guiding information of the vehicle when the vehicle enters an intersection section. Compared with the prior art, the signal control intersection vehicle speed guiding system and guiding method take the safety distance of the vehicle into consideration, minimize the delay of the intersection, improve the traffic efficiency and reduce environmental pollution.

The invention relates to an urban road traffic real-time state distinguishing and guidance system, consisting of a traffic information acquisition subsystem, a communication subsystem, a traffic information integrated processing platform, a traffic information release subsystem and a closed circuit television monitoring subsystem. The traffic information acquisition subsystem acquires the on-the-spot traffic information and transmits the traffic information to the traffic information integrated processing platform through the communication subsystem; the traffic information integrated processing platform adopts a traffic real-time state distinguishing algorithm to determine the traffic state of a specified section of the road according to a traffic flow, a speed, an occupancy and a periodic data packet, and transmits the determined result real-timely to the information release subsystem which then sends the result to a vehicle-oriented traffic scene. The urban road traffic real-time state distinguishing and guidance system of the invention can increase traffic efficiency of a traffic system, and improve the problem of the traffic jams.

An intelligent traffic management system based on inter-vehicle network comprises a wireless communication module, a calculation module, a control module, a traffic light signal display module, a storage module and a fault detection module; the system is communicated with an inter-vehicle network managing device on a vehicle by the wireless communication module, and calculates traffic flow and vehicle density at an intersection via combining with the algorithm in the calculation module. The technical scheme of the invention can effectively solve the technical problems that the traffic signal control system in the prior art can not obtain the traffic flow and the traffic speed precisely, so as to cause low road passing-through efficiency, and energy sources and time are wasted; the traffic information of the vehicles at intersections can be precisely obtained, so as to adjust the time of the traffic lights in time and improve the road passing-through efficiency; the speeds of special vehicles like fire trucks, ambulance and the like are ensured; the function of automatic fault detection is provided; the time of the traffic lights at intersections is optimized; and the traffic efficiency is improved.

The invention relates to a geomagnetic detection-based self-organizing intelligent signal control method. The method comprises the following steps that: (1) a vehicle detector detects the traffic flow of each driveway entrance of an intersection and uploads traffic flow data to a signal controller or a background in real time; and (2) the signal controller or the background calculates the average saturation X of each signal phase driveway of the intersection, and controls traffic lights according to the average saturation X. In the method, the vehicle detector detects the traffic flow and uploads the traffic flow information data to the signal controller, and the signal controller calculates the average saturation X of each signal phase driveway of the intersection and controls the traffic lights by adopting a corresponding control mode according to different average saturation X. The method fully utilizes the time of green light, and can effectively eliminates a green light emptiness phenomenon of the intersection and improve traffic efficiency.

The invention belongs to the intelligent vehicle field and relates to a parallel intelligent vehicle control system based on ACP (artificial systems, computational experiments and parallel execution). The invention aims to realize the safe driving of driverless vehicles and decrease the manufacturing costs of the driverless vehicles. The control system includes a parallel control center and an actual vehicle and road system; the parallel control center comprises a calculation control center and an artificial vehicle and road system; the calculation control center collects vehicle driving parameters and traffic information from the actual vehicle and road system and collects relevant information from the Internet; and control strategies are obtained through calculation and experiments and are executed parallelly in the actual vehicle and road system and the virtual artificial vehicle and road system. According to the parallel intelligent vehicle control system based on the ACP of the invention, the intelligentialization of road side equipment is improved, and therefore, the security problem of the driverless vehicles can be solved, traffic efficiency and overall coordination degree can be improved, and the costs of the onboard equipment of the intelligent vehicles can be reduced.

The invention relates to a self-controlled type traffic light control system, which comprises a central control unit which is used to control switching actions of traffic lights, wherein the central control unit is provided with a parameter setting and inputting device, a forced switch device and a multistage induction coil detecting device, wherein the multistage induction coil detecting device is mainly composed of a plurality of induction coils which are distributed underground along the extending direction of a road, wherein certain distance is left between the induction coils, a signal output line of each induction coil is switched into the central control unit through a corresponding interface circuit, a vehicle detecting signal is sent to a central processing unit, the central processing unit is used to analyze and operate the vehicle detecting signal, and the vehicle releasing time on different directions and the releasing order on each direction can be automatically adjusted according to the difference of the static vehicle queuing length of each road. The control system can automatically adjust a traffic light control parameter according to traffic flow changes on different directions to improve the traffic efficiency of intersections and to realize the optimum control to the intersection traffic.

The invention discloses an intersection traffic organization and signal timing dial method for tailgating opposite exit lane left-hand turning. According to the method, the problem that the number of left-turn vehicle entrance lanes and the number of left-turn vehicle exit lanes in a signal intersection are not matched is solved, phase position and sequence optimization in signal control is matched, an intersection releasing mode is reorganized, left-turn motor vehicles are made to turn leftwards by occupying the exit lanes, and therefore the left-turn traffic capacity of the intersection is improved. Emptying signal lamps are arranged to empty the queue of a left-turn tailgating motorcade, and the traffic flow conflict of the next conflict phase position is avoided. The left-turn traffic flow traffic efficiency can be effectively improved, the vehicle mean delay of the intersection is overall reduced, and the service level of the intersection is improved.

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 control system and method of a dedicated lane for an autonomous vehicle. The system comprises a vehicle-mounted system, a roadside system, a cloud lane management center, anda road information prompting system. The vehicle-mounted system includes a vehicle-mounted information processing center, an information acquisition device, a vehicle-mounted communication module, and a human-computer interaction terminal arranged on a manually driving vehicle, and an automatic driving terminal arranged on the autonomous vehicle. The roadside system includes a roadside information processing center, a video monitoring module, a roadside unit and a second 5G communication module. The road information prompt system includes an information issuing center, a variable informationprompt board, a broadcast and a third 5G communication module. The cloud lane management center includes a data processing center, a traffic information database and a fourth 5G communication module.Different traffic congestion impact factors are assigned for a manually driving vehicle and an autonomous vehicle; and whether to start an autonomous vehicle dedicated lane is decided based on a traffic congestion index and an autonomous vehicle penetration index, so that the traffic efficiency is improved.

The invention discloses a traffic time period control method for improving the traffic efficiency of adjacent intersections of main roads. The method comprises the following steps: on the basis of traffic demand distribution information of urban main roads, obtaining main road traffic demand OD information of different time periods each day through the multi-source data analysis technology, obtaining traffic demand amounts, real-time vehicle arrival rates and vehicle queue lengths of entrance lanes of adjacent intersections to be optimized of the main roads during different time periods, andtaking the sum of all OD amounts of all directions of the entrance lanes of the intersections within a certain time period as the traffic demand amount of the direction within the time period. According to the traffic time period control method disclosed by the invention, the signal control of the entrance lanes of the adjacent intersections is optimized based on the historical data traffic information, so that the occurrence of the decline of the traffic capacity of the adjacent intersections can be prevented more effectively, the occurrence of traffic congestion is avoided, the traffic efficiency of the intersections is maximized, the control method is easy to implement, and the traffic time period control method has a wide application range and a good application prospect.

The invention discloses a vehicle cooperative lane change method based on an artificial neural network and a system of the vehicle cooperative lane change method. The vehicle cooperative lane change method comprises the following steps of: S1, performing lane change data acquisition and lane change demand judgment; S2, performing game income calculation; S3, performing driving style score calculation; S4, performing weight adjustment; and S5, making a lane change decision. According to the vehicle cooperative lane change method disclosed by the invention, through the quantification of a vehicle driving style, game incomes are adjusted, so that an unmanned automobile can have the behavior ability of human, accidents caused by that the unmanned automobile does not understand a human driving style are avoided, and the traffic efficiency is optimized to the best efforts at a low cost of calculation time under the premise of guaranteeing safety.

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.

The invention discloses an expressway traffic capacity cooperative regulation and control method based on lane dynamic allocation of CAVs mixed traffic flow, wherein the method comprises the steps: setting a special lane for a networked automatic driving vehicle on an expressway under the condition that the networked automatic driving vehicle CAVs has certain market permeability, and through the constraint of multiple factors, establishing an integer nonlinear lane dynamic allocation model; and dynamically adjusting the distribution of lane rights and the driving data of the vehicle, outputting a change curve of the traffic capacity of the expressway, selecting an optimization solution, feeding back to a traffic control platform, and dynamically adjusting an expressway lane distribution scheme and vehicle driving data management and control in time to realize cooperative regulation and control of the traffic capacity of the expressway. According to the method, the CAVs special lane isreasonably arranged to separate the mixed traffic flow, and meanwhile, the influence of the road service level and a confluence area on the road is considered, so that the designed traffic capacity ofthe basic road section of the expressway meets the actual traffic requirements, and the purposes of improving the traffic efficiency and the traffic safety are achieved.

The invention provides a signal lamp crossing vehicle speed guiding device based on dedicated short range communication and a method thereof. The device comprises an on-vehicle unit and a roadside unit, wherein the on-vehicle unit comprises a first data processing module, a first DSRC communication transceiver module, a first GPS module, a self vehicle information acquisition module and an HMI module. The roadside unit comprises a second data processing module, a second DSRC communication transceiver module, a second GPS module, an information acquisition module and a communication module. According to the device and the method, through information interaction between the on-vehicle unit and the roadside unit, interconnection and intercommunication between the vehicle and a driving environment can be realized. The DSRC communication transceiver module is utilized. Through vehicle-and-road coordination technology, road information around the vehicle and information of other vehicles canbe obtained. The vehicle is not an information island in the road any longer, thereby preventing collision, improving driving safety, improving traffic efficiency, realizing relatively low calculation amount and realizing easy realization.

The invention relates to the field of traffic control and particularly discloses a dynamic coordinated control method for the bidirectional different requirements of a trunk road. The method comprises the following steps of (1) calculating a key intersection largest in traffic flow according to the historical data of a detection coil; (2) determining a plurality of different coordination strategies according to the different traffic requirements in the up and down directions of the key intersection, and calculating a coordinated timing plan in different coordination strategies through constructing a model; (3) finally, according to the traffic flow monitored in real time, voting and determining an optimal coordination strategy. According to the invention, the method can meet different traffic requirements in the two ways of a trunk road. By adopting the method, the traffic efficiency of the trunk road can be effectively improved, and the traffic jam of the trunk road can be relieved. Therefore, the travel time of citizens can be saved. Meanwhile, the energy consumption of vehicles can be saved, and the pollution of the traffic environment can be reduced.

The invention discloses an arterial highway and local highway access traffic dispersion system. Sensors are arranged between the outermost lane of an arterial highway and the two sides of an arterial highway access. An arterial highway guide rod device is obliquely buried under the ground of the arterial highway access. A bicycle way a certain distance away from the arterial highway access is provided with a sensor used for detecting pedestrians or vehicles and a bicycle way guide rod device. The bicycle way guide rod device is arranged in front of the sensor. A sensor and a local highway guide rod device are disposed on a right turning lane of the local highway a certain distance away from the arterial highway access. The local highway guide rod device is disposed in front of the sensor. Each guide rod device comprises a guide rod, a lifting column, a box and a drive control device, wherein the guide rod is installed on the lifting column, and the lifting column is driven by the drive control device to move up and down. Normal traffic order of the access can be guaranteed, the occurrence rate of traffic accidents is reduced, and traffic efficiency of main highways is guaranteed.

The invention discloses a real-time optimal configuration method for lane resources of a multi-lane expressway. The real-time optimal configuration method for the lane resources of the multi-lane expressway comprises the following steps of traffic data acquisition, equivalent traffic volume confirmation, saturability calculation, passenger car and freight truck separation confirmation, lane resource configuration, lane speed limitation confirmation and real-time information issuing. Flow data of different vehicles running on the expressway are acquired and analyzed in real time, whether passenger cars and freight trucks on the expressway need to be separated from each other or not is determined, lane speed limitation measures under the condition of passenger car and freight truck separation and lane speed limitation measures under the condition of passenger car and freight truck combination are confirmed, and a real-time lane resource configuration scheme is formed. The lane resources of the expressway are distributed and controlled in real time, safety problems caused by mixed flow of the passenger cars and the freight trucks are reduced, speed advantages of the different vehicles can be played to a maximum extent, and the traffic efficiency of the expressway is improved.

The invention discloses an intersection signal optical control method in an environment of Internet of vehicles. A signal timing plan is optimized by combining vehicle state information acquired at a signal intersection in real time, so that the delay time that a vehicle passes through the intersection is shortened. The method disclosed by the invention realizes an actual application of the technology of Internet of vehicles at the signal intersection, thereby favorably improving the traffic efficiency at the signal intersection.

The invention discloses an urban express road intersection public transit priority signal coordinating and timing method which includes the steps: performing dividing and numbering for control areas, and dividing urban express roads under the tidal traffic flow actions into two types of control areas according to a fact that whether intersection downstream roads have bus stops or not; building traffic characteristics data sets; determining initial signal timing schemes comprising initial signal phase structures, initial signal control periods and initial phase green time of intersections; respectively constructing intersection public transit priority signal timing models for the two types of control areas, and calibrating model parameters; determining intersection public transit priority signal timing prioritization schemes, and determining public transit priority green time of the intersections and phase green time of the intersections by the aid of a 'value testing method'; determining an intersection public transit priority signal coordinating and timing scheme. Waiting delay of major traffic flow of the express road at the intersections is greatly reduced, and traffic efficiency is improved.

The invention discloses a non-stop charging method for driving in and out of expressway. Included are a license plate recognition camera, entrance PC software, exit PC software, a barrier, smart phone APP software, server-side back-end software and a server-side data center. The charging method can be realized simply with a smart phone of a car owner without extra hardware equipment and is simple to use. The car owner can achieve automatic charging simply by downloading the smart phone APP software on the smart phone, registering for an account and binding a bank account with an online banking function. The speed is not limited when a car passes through a toll gate, the traffic efficiency is higher, a smooth flow of traffic is realized in real sense, facilities are simple, the construction cost is low, original facilities can be transformed for compatible application, the system reliability is far higher than that of an ETC, the high reliability brings a high benefit, a large deal of operating cost is saved for the owner, the manual toll and ETC toll can be completely replaced, and a driver no longer needs to stop and receive a card at the entrance and can drive into the expressway quickly without stop.

The invention discloses a quick bus signal priority cooperative control method of primary and secondary crossings, and is applied to a BRT (Bus Rapid Transit) system. The method comprises the steps that a plurality of detectors are arranged at setting positions of primary crossings for predicting the arrival time of buses in advance, the corresponding signal phase lengths of the crossings are adjusted in proportion, and the signal lamps of the crossings are controlled; and simultaneously, for the secondary crossings, the bus stop delay is converted into a space length, and cooperative control is carried out by amending the space distance in a path section and calculating green time difference. The method overcomes the disadvantage that a traditional signal priority control method does not consider crossing cooperation, and the total traffic efficiency of main line can be enabled to be optimal.