62 results about "Urban traffic control" patented technology

The invention discloses an optimal control method for intersection group traffic flow, which resolves the defect that the smallest unit of current urban traffic control is a single intersection, which cannot satisfy the needs of actual traffic control, can realize the optimization of local traffic flow, and provides helps for micro control of traffic flow. The steps of the method are:(1) real time acquiring actual traffic flow of ''intersection group'' on roads through a ground induction coil which has been paved in a city; (2) constructing an optimal control model with a smart approach and inferring and optimizing the parameters of a controller according to real-time traffic information;(3) the controller carrying out optimal control for traffic flow according to the control model.

The invention belongs to the field of urban traffic control, and provides a self-adaptive intersection signal control method. By installing vehicle monitors to detect the number of vehicles, the lengths of vehicle queues are acquired, and a signal control strategy for the next cycle is determined according to the lengths of vehicle queues at an intersection in the previous cycle. The method utilizes the vehicle detectors already arranged in a city to acquire traffic flow data and calculate the length of the queue of each lane, and the signal timing scheme of the next cycle is dynamically adjusted according to the different proportions of queue lengths. Taking a cycle as a unit, a timing scheme is calculated, the load of calculation is low, and moreover, the method also can achieve the purpose that intersection signals can be self-adaptively controlled according to the density of traffic flow. In addition, the algorithm of the method is simple, and the method has low requirement on hardware and construction quantity, and therefore is convenient to popularize.

An online traffic volume monitoring system based on a phase-sensitive optical time domain reflectometry and its monitoring method are related to a field of intelligent transportation and an application of distributed fiber sensing. A vehicle moving temporal-spatial response graph is generated by accumulating differentiated Optical Time-Domain Reflectometry tracks at different moments in one unit monitoring period for traffic volume statistics, and then converted into a vehicle moving trajectory image through binarization and image pre-processing. Parameters of the moving vehicles are detected by utilizing a search-match method. A traffic volume, moving speeds, moving directions and locations are obtained respectively from detected trajectory number, and a tilt angle and pixel positions. The monitoring method is helpful to solve traffic congestion problem and informing drivers of real-time traffic volume, and contributes to realize an intelligent city traffic regulation.

The invention relates to a self-organization method of urban traffic control signal based on fluid dynamics, belonging to the technical field of traffic engineering. The invention takes an urban traffic control signal system as transportation network processing, and every crossing is taken as an intelligent body having the functions of autonomous collection and information processing and simultaneously has two sets of cellular automaton for evolution to realize dynamic decision of the traffic signal control at every crossing; on the other hand, by utilizing the natural similarity between traffic flow and fluid flow, the fluid dynamics is introduced based on the cellular automaton to set up equilibrium model of the traffic flow; meanwhile, urban traffic signal self-organization control regulation based on quaternary-phase sequence switch is set out, and traffic crossing phase position decision rule is correspondingly set out, thereby realizing real time decision of a traffic system signal mode. The invention solves the problems of nondeterminacy and unbalanced traffic flow existing in the urban traffic control, so as to improve the performance and real-time property of the urban traffic control system.

The invention provides a tram priority control method considering the non-priority phase social vehicle and public transport vehicle delay increase upper limit, belongs to the field of urban traffic control, and aims at enhancing passage efficiency of trams and reducing influence on social vehicles and public transport vehicles. The increment of total people delay of each phase of each intersection is reduced as far as possible by limiting the upper limit of delay of the passing social vehicles and the public transport vehicles of non-priority phases. Firstly delay of the trams at the intersection is reduced by adjusting speed of the trams. Then a green light extension or red light early break strategy is selected to be applied to each non-priority phase by limiting the upper limit of the increment of delay of the passing vehicle of the non-priority phases so that influence on the single non-priority phase can be reduced. Meanwhile, delay caused on the regular public transport vehicles is specially considered and the increment of total people delay of each non-priority phase of the intersection is reduced as far as possible. Operation efficiency of urban public traffic can be enhanced and the healthy development of urban traffic can also be facilitated.

The invention belongs to the field of urban traffic control, and particularly relates to a method, a system and a device for controlling single-intersection traffic signal control based on deep reinforcement learning, which is to solve the problem that the traffic signal control effect of complex traffic conditions is not good. The method comprises the steps of: establishing a microscopic trafficsimulation environment, defining parameters, and setting a determination network and a traffic signal generation network; calculating the training error of the network based on the data of the currentstage and the previous stage, and updating the network parameters; based on the updated determination network and the data of the current stage and the previous stage, calculating the training errorof the updated determination network, and updating the parameters of the determination network and the traffic signal generation network; and adopting the trained traffic signal generation network toobtain the next phase length of a signal lamp at the intersection. The method, the system and the device for controlling single-intersection traffic signal control based on deep reinforcement learningreduces the research work of knowing the traffic information of the intersection beforehand, and can make adjustments in time as the traffic demand of the intersection is changed, thereby greatly improving the effect of traffic signal control of complex traffic conditions.

The invention discloses an urban trunk one-way green wave control optimization method considering vehicle speed non-uniformity. An unequal saturation signal timing idea is adopted to provide a flexible adjustment and optimization space for coordinated phase green time, and optimization of coordinated phase green time and phase difference parameters under the condition of non-uniform vehicle speeds is realized through a quantified vehicle speed fluctuation interval. The uncertainty of traffic flow operation state is integrated in the bandwidth maximization optimization process, the defect that a traditional method cannot consider both optimization of trunk intersection signal cycle and green time, adopts the assumption of average vehicle speed and ignores vehicle speed non-uniformity is overcome, the capability of trunk one-way green wave coordinated control to resist external interference can be effectively enhanced, the operation efficiency of trunk traffic flow is improved, good real-time and practical properties ensure the operability of actual applications, and the method plays a positive role in urban road traffic signal control optimization system construction and urban traffic control level upgrading.

Scalable urban traffic control system has been developed to address current challenges and offers a new approach to real-time, adaptive control of traffic signal networks. The methods and system described herein exploit a novel conceptualization of the signal network control problem as a decentralized process, where each intersection in the network independently and asynchronously solves a single-machine scheduling problem in a rolling horizon fashion to allocate green time to its local traffic, and intersections communicate planned outflows to their downstream neighbors to increase visibility of future incoming traffic and achieve coordinated behavior. The novel formulation of the intersection control problem as a single-machine scheduling problem abstracts flows of vehicles into clusters, which enables orders-of-magnitude speedup over previous time-based formulations and is what allows truly real-time (second-by-second) response to changing conditions.

The invention belongs to the technical field of intelligent traffic, and particularly relates to an urban traffic control system. The urban traffic control system comprises traffic lights arranged on intersections, local traffic controllers and a plurality of cameras, and the local traffic controllers and the cameras are arranged on the intersections. The traffic lights and the local traffic controllers are connected for signal control, the cameras transmit collected real-time traffic data information to the local traffic controllers, and the local traffic controllers on the intersections are connected with an urban traffic control center for data transmission. According to the urban traffic control system, the system is connected and matched with a vehicle recognition camera through data transmission, the real-time traffic state data information of all the intersections is collected in real time, after control over the traffic of the intersections is optimized, the traffic signals of all the intersections are centralizedly and coordinately controlled in real time, and optimal configuration of urban traffic is achieved. The invention further discloses an urban traffic control method. Intelligent and user-friendly urban traffic management is achieved.

The invention discloses an urban traffic control sub-area division method based on fast global K-means spectral clustering, and relates the field of the urban traffic sub-area division. The basic thought thereof is taking traffic correlation between adjacent signal intersections in a road network as a division evidence, the method comprises the following steps: 1) selecting a to-be-researched roadnetwork to acquire a road topology structure and traffic flow data of the road network, and establishing a road network undirected graph; 2) computing a road network density Laplace matrix L and feature vectors corresponding to front k minimum feature values to construct a clustering feature matrix; 3) implementing the global K-means clustering algorithm on the clustering feature matrix X, and dividing the intersections in the same cluster into the same sub-area; and 4) judging whether the amount (absolute value of Vi) of the intersection in the sub-area after the clustering satisfies a constraint condition, performing boundary adjusting on the sub-area dissatisfying the constraint condition , and performing traffic control sub-area division on the road network G by adopting the fast global K-means spectral clustering. The time required by the clustering is shortened, and the traffic sub-area division efficiency can be improved.

The invention discloses a hybrid recommendation-based traffic signal control scheme real-time selection method, which comprises the following steps of: processing intersection characteristics and traffic signal control scheme characteristics to obtain intersection categories and scheme categories; and constructing a standard traffic scene on a parallel simulation platform for each intersection category to test a control scheme so as to obtain performance of the intersection category under the simulation platform as system starting knowledge. When the actual intersection control performance cannot meet the requirements, the control scheme suitable for an intersection is found through a hybrid recommendation technology, including based on content recommendation and collaborative filtering recommendation, and is transmitted to an actual intersection to improve the traffic control effect of the intersection. Meanwhile, a system knowledge base is further perfected by recording and processing actual intersection traffic information to improve the accuracy of a recommendation algorithm. According to the method, dynamic response can be made to short-term traffic state fluctuation variation and an emergency situation on an urban traffic road network, so that the method is particularly suitable for being used in an urban traffic control system.

The invention relates to the technical field of urban traffic control and management, in particular to a traffic evacuation guide system and a traffic evacuation method thereof. A video internet of things is composed of video detection devices, guiding screens, wireless sensor networks, a control center and a mobile or fixed access network, wherein the video detection devices are arranged at the starting and ending positions of roads and evacuation points in the evacuation area and buses passing the evacuation area, the guiding screens are arranged at the intersections of evacuation paths, and the wireless sensor networks are arranged in the evacuation area and the periphery of the evacuation area. The control center generates two kinds of guiding information according to the information collected on the spot and issues the guiding information to the guiding screens on the spot to be displayed through the mobile or fixed access network to guide evacuees to reasonably disperse to the evacuation paths and the selected evacuation points. The traffic evacuation guide system and the traffic evacuation method thereof solve the problem of personnel evacuation in the core area and can be used for traffic evacuation in large-scale activities, scenic spots and other occasions.

The invention discloses a urban traffic control area division method and device. The method comprises the following steps: acquiring region characteristic data, and performing gridding on the data toobtain first characteristic data, analyzing the first characteristic data to obtain a space distribution density of the urban traffic, and determining a Thiessen polygon network of the urban traffic according to road network space data; and performing data stacking on the space distribution density of the urban traffic and the Thiessen polygon network so as to determine the boundary of each control area of the urban traffic. The used regional characteristic data is suitable for multiple data sources capable of representing the region traffic characteristics, the Thiessen polygon network obtained through the space distribution density and the road network space data can efficiently and accurately detect and understand the urban space, thereby quickly and effectively performing space slicingon the city on finer space resolution and obtaining an appropriate urban traffic control area.

The invention discloses a traffic signal coordination control method of trunk line intersections based on unequal periods, and relates to a traffic signal coordination control method. The invention aims to solve the problems that the existing green wave width is limited, the utilization rate of a coordinated phase green light is low and the parking frequency of a motor vehicle is high. The processis as follows: collecting inlet roadway flow of each intersection; calculating the period duration of executing single-point control; dividing the intersections into a first type and a second type; determining a value interval of a public period; defining trunk line system parameters; constructing the constraint of a phase combination scheme and an equivalent relation between the period and the phase green light; dividing intersections into different sets; determining the starting time and ending time of the green light; determining the departure time of the head vehicle and the tail vehicleof a coordinated vehicle flow; calculating three types of green wave bandwidths; constructing green wave band constraint conditions formed by a trunk line when the trunk line straight phases of the first type of intersections are not adjacent and adjacent to the left turn of an intersecting road; determining an objective function; and determining signal timing parameters of each intersection. Theinvention is used in the technical field of urban traffic control.

A two-phase implementation method of an urban road traffic system relates to the technical field of urban road traffic system control, including motor vehicle lanes, non-motor vehicle lanes, sidewalks, guardrails, zebra crossings, and two-phase signal lights. On the outside of the non-motorized lane, the guardrail is set between the two-way motorized lanes, between the motorized lane and the non-motorized lane, and between the non-motorized lane and the sidewalk, and the zebra crossing and two-phase signal lights are set at the intersection. , U-turn lanes and right-turn lanes, there is a distance of more than 10 meters between the guardrails between the motor vehicle lanes and the zebra crossing. After the two-phase signal lights show the north-south direction of release, after the east-west direction stops, they will directly switch to the east-west direction. The north-south movement stops. The beneficial effects of the present invention are: using two-phase signal lamps to organize and control traffic, so that vehicles and pedestrians go their own way, safe and orderly.

The invention discloses a path planning method and system based on urban traffic control signal lights. The method comprises the following steps: step 1, taking all nodes in a road network as a node set, setting an initial starting point of a path as a current node; step 2, selecting adjacent nodes of the current node from the node set as next to-be-extended nodes of the path; step 3, calculating an evaluation function of all the to-be-extended nodes selected in step 2; and step 4, selecting the path to-be-extended node having minimum evaluation function value from all the to-be-extended nodes in step 3 to connect the current node, taking the selected to-be-extended node as a current node, and if the current node is a target node, ending path planning, otherwise, returning to step 2. The method combining delay caused by traffic control signal lights with the length of the path for calculating is more excellent than the path selection of algorithms only considering time and distance, and does not increase too much calculation difficulty.

The invention provides a calculation method for the saturation flow rate of lanes based on electronic police data. A highly efficient and precise method is provided for acquisition and processing of timing data of signal lights at an intersection. Firm data support is provided for optimization of the timing of signal lights at the intersection. The calculation method plays an important role in improving of efficiency of intersection signal timing schemes, and in improving implementation effects of urban traffic control and operation efficiency of the whole traffic system. According to the invention, in the calculation of the lanes, the time headway and the saturation flow rate are used as important factors in determination of periods of signal timing; by differentiating weather factors like sunny days, rainy days and snowy days, based on a large number of history data, precise data calibration is performed on parameters; functions of big data are fully played in calibration of the parameters; and data basis is provided for precise scene type signal timing.

The invention discloses a method for judging driving of a motor vehicle through internet analysis of parking lot and ETC information. The method is used for recording time of the motor vehicle of entering an urban traffic control area so as to provide a basis for collection of congestion fee. According to the system, the motor vehicle enters the traffic control area and triggers the ETC to start timing of the motor vehicle until the motor vehicle is driven into a parking lot or driven out of the traffic control area, and the timing result is fed back to the owner of the motor vehicle through an APP.

The embodiment of the invention provides an urban traffic control system. The system comprises a vehicle control module, a signal machine control module and a road signal machine, wherein the vehicle control module is arranged at a vehicle end, the signal machine control module and the road signal machine are arranged at a road end, the vehicle control module is used for being triggered by a user to generate a vehicle passing demand and sending the vehicle passing demand to the signal machine control module, the signal machine control module is used for receiving the vehicle passing demand and judging the necessity of the vehicle passing demand, and sending a signal machine control instruction to the road signal machine when it is judged that the vehicle passing demand needs to be responded, and the road signal machine is used for executing corresponding operation according to the signal machine control instruction. According to the scheme, the roadside end can respond according to the requirements of the vehicle end, so that the purpose of reducing urban traffic chaos is achieved.

The invention, which relates to the field of the intersection signal timing scheme, provides a smooth transition method of an intersection signal timing scheme under multi-time timing control, therebysolving a problem that the existing smooth transition method of the intersection signal timing scheme is only suitable for coordinated controlling of all intersections in adjacent periods of time. The method comprises: step one, dividing smooth transition of a signal timing scheme of multi-time timing intersection control into four types; step two, determining a smooth transition type of the intersection after ending of the ith period of time; performing the step three under the condition of belonging to the type I; performing the step four under the condition of belonging to the type II or type III; performing the step five under the condition of belonging to the type IV; step three, determining an intersection smooth transition scheme under the type I; step four, determining an intersection smooth transition scheme under the type II or type III; and step five, determining an intersection smooth transition scheme under the type IV. The method belongs to the technical field of urban traffic control.

The present invention relates to the urban traffic control field, especially to a system and method for realizing traffic intersection dispersion through adoption of a wireless novel electronic license plate. The system comprises a wireless electronic license plate, a traffic signal controller, a cloud server platform and a mobile communication network. The wireless electronic license plate, the traffic signal controller and the cloud server platform are communicated through the mobile communication network. The electronic license plate installed on the vehicle is employed to collect the position information of the vehicle in real time, the position information of the vehicle is sent to the cloud service platform, the cloud server platform gives a predicted speed to a vehicle going to arrive according to the real-time traffic flow accumulation condition of the traffic intersection and the number of the vehicles at the same direction and transmits the information to the traffic signal controller, and the traffic signal controller controls the time of the traffic signal lamp so as to greatly relieve the jamming phenomenon of the traffic intersection and reduce the energy consumption and the energy pollution caused by the starting and stopping of the vehicle.