43 results about "Bus priority" patented technology

The invention relates to the technical field of traffic management, in particular to a smart city intelligent traffic management system based on big data, which comprises a multi-source data acquisition module, a data fusion module, a dynamic feature generation module, a situation prediction module, a multi-target optimization module and an instruction execution module, the multi-source data acquisition module acquires multi-source data in real time; the data fusion module generates a standardized traffic data flow and outputs a three-dimensional data cube; the dynamic feature generation module outputs a traffic feature matrix; the situation prediction module generates a dynamic situation map; the multi-objective optimization module outputs an optimization instruction set; and the instruction execution module issues a control instruction to the traffic signal controller, the variable information board and the vehicle-mounted terminal. According to the invention, traffic jam can be relieved, road traffic efficiency can be improved, bus priority scheduling can be optimized, vehicle delay can be reduced, and emergency response speed can be improved.

The embodiment of the invention provides a training method of a signal lamp control model, a signal lamp control method, a device, equipment, a medium and a product, and relates to the technical field of urban road traffic. The method comprises the following steps: acquiring a plurality of first traffic data, constructing a state characterization matrix and a reward function according to the plurality of first traffic data, and performing model training according to the plurality of first traffic data, the state characterization matrix and the reward function to obtain a signal lamp control model. According to the method, in a model training process, a state representation matrix is utilized to dynamically quantify passing priorities of buses in all directions, and meanwhile, a reward function is utilized to guide the model training process, so that a signal lamp control model obtained through training can recognize and preferentially respond to bus passing demands, and signal lamp actions are dynamically adjusted; therefore, the collaborative optimization of multi-direction bus priority requests in a complex scene is realized, and the coordination capability and response efficiency of a bus priority system in a complex urban traffic environment are improved.

The invention discloses a high-speed data processing and exchanging method and system based on Zynq UltraScale + MPSoCs, and belongs to the technical field of data processing.The method comprises the steps that nanosecond-level synchronous pulses are generated through a PL end of Zynq, initial multi-modal data are collected, the transmission rate and integrity are analyzed through a double-SERDES controller of the PL end, and a dynamic data processing matrix is constructed; pL and PS end data flow distribution is simulated and optimized through a preset multi-data granularity scale, and an exchange instruction set is generated; in combination with an on-chip bus topology, a first data exchange path is formed through DMA-OCM interaction and hardware accelerator adaptation, and a second data exchange path is obtained by adjusting sub-channel allocation and bus priority; and the operation state parameters of the second data exchange path are written back to the data frame state attribute bar corresponding to the dynamic data processing matrix in real time, so that efficient processing and dynamic optimization of the multi-modal data are realized, and the system stability and the transmission efficiency are improved.

The invention relates to the field of intelligent traffic systems, in particular to a multi-source data fusion-based vehicle-road collaborative bus priority system, which comprises the following modules: a data acquisition module, which comprises an electronic police, a bayonet device, a monitoring device, a thunder-vision all-in-one machine and a vehicle-road system device and is used for acquiring traffic flow data at an intersection and related road sections thereof; the data processing module comprises a data cleaning unit, a data classification unit and a data analysis unit and is used for cleaning, classifying and analyzing the collected data and extracting traffic flow features, and the data fusion module is used for fusing the traffic flow features through three-level fusion (vehicle data fusion, traffic flow feature fusion and vehicle state fusion). Accurate vehicle position and state information and real-time traffic conditions of the intersection and the vicinity of the intersection are obtained, and the traffic prediction module can accurately predict the traffic flow condition of the whole intersection within a short period of time by combining real-time data and historical data.

The invention provides a bus signal priority control method considering coordination of a phase deviation state, and belongs to the technical field of vehicle-road cooperation. The method comprises the following steps: constructing an end-side-cloud architecture system for an intersection implementing bus signal priority control, acquiring basic data of the intersection and buses, establishing a signal priority control method considering coordination phase deviation state constraint, and calculating the maximum bus signal priority time of the intersection. And signal timing schemes under different priorities are generated in advance according to the priority time, so that the accuracy and the real-time performance of bus priority execution are ensured. According to the invention, a reliable control means for passing without stopping is provided for buses, interference to social vehicle passing benefits is reduced, the coordination offset time is fully utilized, the success rate of bus signal priority control is increased, the riding experience of passengers can be improved, the energy consumption of the buses can be reduced, and the cost is reduced. The method is of great significance to further development of an urban public transport system.

The invention relates to the technical field of intelligent traffic, and provides a public transport priority signal and track cooperative control method and device under dynamic road right distribution, and the method comprises the steps: constructing a historical data set of traffic signal information and vehicle information; according to the phase of the historical data set and the vehicle information of the corresponding lane in the direction from the stop line to the lane entrance, constructing a motorcade according to the constraint that the maximum number of vehicles allowed by phase timing is not exceeded; inputting the vehicle information and the traffic signal information of the motorcade in the historical data set into a signal timing and road right distribution model to obtain signal timing decision information, road right distribution decision information and vehicle decision information of at least a next period; controlling traffic lights according to the signal timing decision information and the right of road distribution decision information; and controlling the vehicle to run according to the right-of-way distribution decision information and the vehicle decision information. According to the invention, the passenger passing efficiency is considered, the lane right is dynamically allocated, and the traffic signal timing is optimized.

The application provides a bus priority method based on a game coordination mechanism, comprising the following steps: constructing a traffic game model between a bus and other vehicles, considering a strategy space and an utility function of each bus at an intersection, and the utility function in the model can reflect a traffic efficiency of the bus; according to traffic states of the bus and the other vehicles, an optimization algorithm is used to solve the game model, and an optimal strategy of the bus is obtained; according to the optimal strategy of the bus, a traffic signal timing is dynamically adjusted, and a bus priority strategy is provided; in addition, a special situation that different phases of the intersection have buses arriving at the same time can be handled, and the bus can realize priority passing at the intersection, while reducing the influence on the other vehicles. The method of the application not only considers the priority of the bus, but also takes into account the traffic demand of the other vehicles, and realizes the target of traffic coordination.

The invention discloses an intelligent network connection bus priority path planning method based on multi-strategy cooperation, and the method comprises the steps: solving a target function with the minimum total maneuvering step number of an intelligent network connection bus and a social vehicle at all positions as a target through building a target lane social vehicle active avoidance constraint and a snakelike constraint of the bus; and the planning of the intelligent network connection bus priority path is realized. Through establishment of feasibility constraints, the situation that a bus is interfered by other vehicles when running on a road can be fully considered, and social vehicles can effectively carry out active avoidance and path adjustment strategies; the method can adapt to traffic conditions changing in real time, and a'bus lane 'can be formed in the existing lane without building a bus lane and avoiding social vehicles, so that the overall road resource utilization rate is improved, and the implementation cost is greatly reduced.

The invention discloses a region boundary intersection signal control optimization method considering bus priority. The method comprises the following steps: constructing a three-dimensional macroscopic fundamental diagram 3D-MFD based on historical traffic detection data; based on the current traffic detection data, in combination with 3D-MFD, judging whether region boundary intersection signal optimization control needs to be carried out or not; obtaining the total traffic adjustment amount of each intersection based on feedback control; according to the real-time traffic state data of each intersection, distributing a total traffic adjustment amount to each intersection to obtain a traffic adjustment amount expected value of each intersection; constructing an intersection signal control scheme optimization model considering bus priority by combining the traffic adjustment amount expected value of each intersection; and carrying out optimization solution on the intersection signal control scheme optimization model to obtain an optimized signal control scheme of each intersection. According to the invention, the signal control optimization scheme of each intersection of the regional boundary can be obtained, so that the bus priority is realized, and the regional traffic efficiency is improved.

The invention discloses a priority control method for an automatic driving bus in a network connection environment. The operation of the automatic driving bus is intelligently regulated and controlled in real time according to a bus priority passing demand coefficient F; if F is less than 0, intelligently regulating and controlling the running of the automatic driving bus in real time by adopting a reverse regulation stop control mode and / or a reverse speed guide mode; if F is more than or equal to 0 and less than 1, intelligently regulating and controlling the running of the automatic driving bus in real time by adopting a reverse regulation parking station control mode; when F is greater than or equal to 1 and less than 2 and the saturation is greater than a limit value, intelligently regulating and controlling the running of the automatic driving bus in real time by adopting a vehicle speed guiding mode; when F is larger than or equal to 2 and smaller than infinity, F is larger than or equal to 1 and smaller than a limit value, or F is larger than or equal to 2 and smaller than infinity, a vehicle speed guiding mode is matched with an active priority control mode to intelligently regulate and control running of the automatic driving bus in real time; and intelligently regulating and controlling the running of the automatic driving bus in real time by adopting a vehicle speed guiding mode and a parking station control mode matched with an active priority control mode. According to the invention, automatic driving bus operation and intersection signal timing are optimized and controlled.

The present invention discloses a multi-path signal coordination control method for bus priority, comprising the following steps: S1, collecting relevant information about trunk intersections and bus routes in the trunk; S2, dividing the multi-path bus signal control sub-areas based on the stop locations of each bus route and combining dummy variables; S3, establishing a multi-path signal coordination control optimization model for bus priority with the optimization goal of maximizing the weighted green wave bandwidth of each bus route, and then establishing intra-control sub-area group constraints, inter-control sub-area group constraints, and travel time constraints for each path; S4, solving the optimization model, obtaining the green wave bandwidth of each bus route, and outputting the optimized signal control parameters for each intersection in the trunk route. When applied to the bus signal coordination control of urban trunk routes, the present invention can provide green wave bandwidth for multiple bus routes, significantly improve the traffic efficiency of buses on urban trunk roads, and alleviate traffic congestion.

This invention provides a method, device, terminal, and storage medium for bus priority control at multiple intersections. The method includes: acquiring the approach lane status of each approach lane at each intersection within a target area at the current time, and the traffic light prediction model for each intersection; determining the target bus closest to its current intersection on each approach lane, and acquiring the bus status and bus prediction model for the target bus at the current time; predicting the traffic light phase status of each intersection at the next time based on the approach lane status, bus status, and traffic light prediction model; and predicting the bus acceleration corresponding to each target bus at the next time based on the approach lane status, bus status, and bus prediction model. This application can adjust the traffic light phase status and bus acceleration using traffic light prediction models and bus prediction models in a multi-intersection environment, thereby improving bus traffic efficiency.

The invention relates to an urban bus lane operation effect evaluation method based on multi-dimensional indexes, and relates to the field of public traffic evaluation and optimization. According to the technical scheme, the scale and qualified rate two-dimensional evaluation is integrated, the scale index is based on the proportion of the mileage of the special lane to the total length of the bus line network, the qualified rate is calculated through rationality scoring of the special lanes one by one, and the number quality focuses on the overall treatment effect to avoid local one-sided pursuit; the evaluation of a single special lane integrates the dimensions such as bus passing demand, bus operation efficiency, bus priority effect and lane allocation balance, selects the indexes such as peak bus arrival amount and speed ratio, advocates bus priority and pays attention to social vehicle rights and interests, and reduces the waste of passing resources by monitoring the vacancy of the special lane and the congestion of other lanes. The road-section and direction-division calculation mode can evaluate the setting conditions of all directions of all road sections respectively, and accurate positioning of weak points is convenient for fine adjustment. The method effectively improves the running efficiency of the special road, and optimizes the road resource allocation.

The invention discloses a bus priority traffic scheduling method, device and equipment based on traffic entropy, and the method comprises the steps: generating arrival time information through obtaining bus position data, and building a time credit line mechanism based on the punctuality rate and the historical application frequency to carry out the differential resource distribution of each line; executing multi-line resource competition analysis to determine an operation load index, and formulating a priority execution strategy based on quota constraint; a traffic entropy theory is introduced, the chaos degree caused by signal adjustment is calculated through speed variance and queuing length change, and an entropy-constrained green light timing scheme is generated; analyzing a road network sweep effect formed by traffic disturbance propagation, and constructing an entropy decline control mechanism through game equilibrium analysis and an entropy propagation model; a road network coordinated regulation and control strategy is formulated, unified management and control of the whole network are realized through a hierarchical coordination architecture and time load liquidation, a global scheduling strategy based on entropy optimization is finally formed, and intelligent evolution control of a traffic system from disorder to order is realized.

This invention discloses a method for implementing priority for multiple bus routes under coordinated control. The method first establishes a bus priority request list, starting with the time a bus approaches the intersection and ending with the time it leaves the stop line. Then, it calculates the expected adjustment value and adjustment stage number for all requesting buses. Next, without disrupting coordination, it calculates the adjustable range for each bus before it reaches the stop line. Finally, with the goal of minimizing the waiting time for all buses at the intersection, and based on the first-come, first-served principle, it adjusts the duration output of the current stage to reduce bus waiting time. This method improves bus operating efficiency while considering the start time and release time of the coordination stage.

The invention discloses a multi-path signal coordination control method for bus priority, which comprises the following steps: S1, collecting related information of a trunk line intersection and bus running lines in a trunk line, S2, dividing multi-path bus signal control sub-areas based on the stop position of each bus line in combination with dummy variables; s3, taking maximization of the weighted green wave bandwidth of each bus path as an optimization target, establishing a multi-path signal coordination control optimization model oriented to bus priority, and then respectively establishing constraints in control sub-block groups, constraints between control sub-block groups and travel time constraints of each path; and S4, solving the optimization model, obtaining the green wave bandwidth of each bus path, and outputting optimization signal control parameters of each intersection in the trunk line. When the method is applied to bus signal coordination control of an urban trunk, green wave bandwidth can be provided for multiple bus paths, the passing efficiency of buses in the urban trunk is remarkably improved, and traffic congestion is relieved.

The application discloses a high-speed data processing and exchanging method and system based on Zynq UltraScale+MPSoCs, and belongs to the technical field of data processing, and comprises the following steps: generating a nanosecond-level synchronization pulse by using the PL end of Zynq, collecting initial multi-modal data, analyzing transmission rate and integrity by using a double SERDES controller of the PL end, and constructing a dynamic data processing matrix; simulating and optimizing the data stream distribution of the PL end and the PS end by using a preset multi-data granularity scale, and generating an exchanging instruction set; combining an on-chip bus topology, forming a first data exchanging path through DMA-OCM interaction and a hardware accelerator adaptation, obtaining a second data exchanging path through adjustment of sub-channel distribution and bus priority; and writing the running state parameters of the second data exchanging path back to the corresponding data frame state attribute column of the dynamic data processing matrix in real time, so that multi-modal data efficient processing and dynamic optimization are realized, and the system stability and transmission efficiency are improved.

The invention provides a signal and vehicle cooperative intelligent control method and system based on traffic conflicts, and the method employs a double-layer cooperative optimization control architecture: an upper-layer traffic signal control model dynamically adjusts the duration of a green light; according to the lower-layer vehicle track control model, the length of a conflict area is calculated in combination with the maximum braking distance of the vehicle according to traffic conflicts caused by bus entering and exiting, conflict recognition conditions and conflict elimination constraints are provided, and on the basis, the acceleration of a vehicle team pilot vehicle is decided with the fuel consumption and comfort of the vehicle as optimization targets. According to the method, a double-layer optimization control model is solved by adopting dynamic planning, green light duration and vehicle tracks are adjusted in real time in combination with vehicle-road cooperative communication, bus priority passing and safe and orderly avoidance of common vehicles can be guaranteed, average passenger delay and travel time of buses in a conflict area are effectively reduced, and the traffic safety of the buses is improved. The overall oil consumption is reduced; and the intersection passing efficiency is improved.

The invention relates to the field of intelligent traffic signal control, and discloses a lightweight intersection traffic signal coordination control method, which comprises the following steps that: a central control module generates a coordination scheme based on traffic flow data, decouples steering pairs, and determines the optimal phase difference of each intersection; the edge signal control unit receives the coordination instruction and dynamically adjusts signal lamp timing; in the bus priority mode, the system calculates green wave countdown by monitoring the position of a bus in real time, and adjusts the green light time to guarantee the priority passage of the bus; when no coordination request exists, the system automatically enters a single-intersection induction control mode, the green signal ratio and phase conversion are adaptively adjusted according to the real-time flow, and the signal control flexibility is improved. The multi-source data fusion and intelligent optimization algorithm is combined, the combination of regional signal coordination and single-point adaptive control is realized, the traffic delay is effectively reduced, and the road traffic capacity and the traffic management intelligent level are improved.

The application relates to the field of intelligent traffic signal control, and discloses a lightweight intersection traffic signal coordination control method, which comprises the following steps: a center control module generates a coordination scheme based on traffic flow data, and performs decoupling processing on a turning pair to determine the optimal phase difference of each intersection; an edge signal control unit receives a coordination instruction and dynamically adjusts signal lamp timing; in a bus priority mode, the system calculates green wave countdown by monitoring the position of a bus in real time, adjusts the green light time to ensure bus priority, and automatically enters a single intersection induction control mode when there is no coordination request, and adaptively adjusts the green ratio and phase conversion according to real-time flow, thereby improving signal control flexibility. The application combines multi-source data fusion and intelligent optimization algorithms, realizes the combination of regional signal coordination and single-point adaptive control, effectively reduces traffic delay, and improves road traffic capacity and the intelligent level of traffic management.

The invention discloses a bus data distributed file system for vehicle-mounted recording equipment, and relates to the technical field of bus data processing. The bus data distributed file system for the vehicle-mounted recording equipment comprises a fragment feature extraction module, a state fragment feature value extraction module and a driving fragment feature value extraction module, the priority feature extraction module is used for analyzing bus priority feature values of the bus data blocks; the node response extraction module is used for acquiring load data of a to-be-stored node and analyzing a corresponding storage response characteristic value of the to-be-stored node; and the storage adaptation analysis module is used for analyzing the storage adaptation feature value of each bus data block and each to-be-stored node. Node storage is performed on each bus data block through the storage adaptation feature value in the node storage module, so that each bus data block can be allocated to the most suitable to-be-stored node; therefore, the data storage and access efficiency of the system in a complex application scene is remarkably improved, and the reliability of data storage is guaranteed.

This invention belongs to the field of intelligent transportation, specifically relating to a method, system, and device for real-time traffic light timing optimization with bus priority. It ensures bus priority by adjusting the green light duration in real-time at each intersection based on real-time traffic flow. The method includes the following steps: 1. Presetting the intersection's traffic rules, the range of green light control duration, and the traffic light changing sequence, and determining the initial traffic signal phase duration; 2. Monitoring and statistically analyzing vehicle arrival rates in each direction at the intersection using video surveillance equipment; 3. Calculating the average delay time in each direction at the intersection using a modified Webster model; 4. Calculating the total delay time in each direction at the intersection per unit time; 5. Reallocating the initial green light duration based on the total delay time; 6. Extending the green light in a timely manner according to the bus's location to ensure bus passage. This invention solves the problems of traffic light control communication modes being unsuitable for traffic flow changes, having low communication efficiency, and easily causing congestion.

The invention discloses a networked bus signal coordination and speed guidance joint optimization method considering multi-bus request conflict, and the method comprises the steps: building a complete bus priority multi-strategy optimization model on the basis of the actual operation of a bus; a multi-strategy bus operation optimization process considering bus signal priority application conflicts is described through a system, delay conditions of social vehicles and buses are considered, and then actual driving behaviors of the buses and intersection signal optimization are guided; on the basis, the bus is guided to run on the bus lane, the parking waiting time is shortened, the bus priority efficiency is improved, a bus signal coordination and speed guidance combined optimization method is formed, and then the organic combination of a bus priority signal-speed guidance-trunk line coordination strategy is achieved. According to the invention, a series of problems of low public transport efficiency, such as long parking waiting time and arrival time delay, caused by difficulty in processing of the prior intelligent network connection bus signal priority application conflict, are solved.

The invention discloses a game and model prediction control-based networked bus priority departure method. The method comprises the following steps of: obtaining motion state information of a bus which is ready to leave a station and related social vehicles; based on the motion state information, constructing a Stackelberg game model which takes an outbound bus as a leader and takes an adjacent social vehicle behind a target lane as a follower, and solving the model to obtain an initial lane changing decision integrating optimal lane changing time and a traffic signal priority strategy; according to the lane changing decision, planning a driving track for the bus, and determining a performance index of the bus; inputting the performance index into a Stackelberg game model, updating a lane changing decision, obtaining an optimal lane changing decision and an optimal driving track under the optimal lane changing decision, and taking the optimal lane changing decision and the optimal driving track as a control scheme for the bus to leave the station preferentially; according to the scheme, high coordination of path planning and control can be realized, so that buses can pass efficiently and safely under complex traffic conditions, and the use efficiency of roads is improved to the maximum extent.

The present invention discloses a bus priority signal control method based on a mobile bus phase time window. First, the bus time window is calculated in combination with bus speed fluctuations and theoretical arrival time points; secondly, a bus priority strategy set is established with the goal of covering the bus arrival time window with the green light time of the bus phase, without changing the bus phase duration and the overall phase structure. This signal adjustment method is a bus priority strategy that moves the bus phase time window based on the prediction of the bus arrival time to adapt to the public transportation demand; finally, bus signal priority control is implemented based on the strategy group. The present invention can minimize the encroachment of the green light time of other phases due to bus priority, avoid the failure of bus priority caused by errors in arrival time, excessive extension of bus phase duration and adjustment of the overall phase structure, and improve the overall traffic efficiency of the intersection.

The application provides a kind of intermittent bus lane bus priority control method, the method comprises: obtaining the driving data of intelligent connected vehicle and bus of the road section where current intelligent connected vehicle is located, then determine the lane where current intelligent connected vehicle is located, if current intelligent connected vehicle is in ordinary lane, the number of lane borrowing vehicle on the intermittent bus lane is determined according to the driving data and target limit value, and when the number of lane borrowing vehicle on the intermittent bus lane reaches the target limit value, control current intelligent connected vehicle not to borrow lane intermittent bus lane.The application avoids the situation that the number of lane borrowing vehicle is too much when intelligent connected vehicle borrows lane on intermittent bus lane, which causes the increase of bus delay, and realizes the fast lane changing of intelligent connected vehicle on the road while ensuring the priority driving of bus on intermittent bus lane.

The application discloses a centrally-located bus and slow traffic integrated road and intersection, and specifically sets the bus lane and non-motor vehicle lane which are normally located on the two sides of the road in the center of the road, sets the bus station and non-motor vehicle parking point in the road center near the road section pedestrian crossing and intersection, and correspondingly adjusts the signs and lines, signal control phase and auxiliary facilities at the road section pedestrian crossing and intersection. Accordingly, the application also proposes the intersection of double centrally-located bus and slow traffic integrated road and the intersection of centrally-located bus and slow traffic integrated road and conventional road. The application effectively improves the traffic efficiency of the bus lane and non-motor vehicle lane on the basis of ensuring the traffic safety, facilitates the interchange of the three traffic modes of pedestrians, non-motor vehicles and buses, highlights the characteristics of bus priority and slow traffic priority, and is more humanized in design.

The invention discloses an intelligent network connection vehicle special lane layout method considering dynamic bus priority. The method comprises a multi-source information acquisition module, a traffic information processing module, a vehicle control module, a traffic flow input module and a lane layout scheme evaluation module. The method comprises the specific steps that the multi-source information collection module collects road condition information, vehicle information and bus operation information; then the traffic information processing module screens and calculates the collected information; the vehicle control module controls the vehicle; the traffic flow input module is used for adjusting the permeability of the intelligent networked vehicles and the total traffic demand, and testing lane layout schemes under various intelligent networked vehicle permeability and different traffic demands; and the lane layout scheme evaluation module establishes evaluation indexes to evaluate test results of different lane layout schemes of the permeability of each intelligent network connection vehicle under different traffic demands, and compares and selects the optimal lane layout scheme under different traffic demands of each intelligent network connection vehicle.

The present application relates to a method and system for adaptive signal control of bus priority. The method includes: an on-board electronic tag device on a bus sends a bus priority request to a roadside unit device; an edge computing device obtains the perception data of the perception device and the light state phase data of the signal machine in real time, and analyzes and determines whether the current environment of the intersection supports the signal priority request, and reports the signal priority request to the roadside unit device when the signal priority request is supported; when the bus priority request and the signal priority request are received at the same time, it is determined that the bus priority request can be executed and sent to the signal machine; the signal machine automatically schedules the remaining seconds of the current traffic light according to the remaining time of the current traffic light and the remaining time of the bus expected to arrive at the intersection, so that the bus has priority to pass through the intersection. This scheme is not subject to the conflict between the request to execute the signal priority phase and the current intersection traffic phase, and the bus priority scheme is adaptively executed according to the traffic profile of the intersection.

The invention discloses a commuting carbon efficiency causal inference method and device for multiple bus priority strategies, and a medium. The commuting carbon efficiency causal inference method comprises the following steps: constructing a variable set containing control variables (bus lanes and signal priority strategies), covariables (carbon efficiency influence factors) and carbon efficiency true values; and splicing the control variable and the covariable into a joint feature vector, and inputting the joint feature vector into the trained multi-strategy causal neural network. The network outputs carbon efficiency estimation values under four situations through completely decoupled branches: no strategy, only special channel, only signal priority and joint strategy. And on the basis of no strategy, the carbon efficiency improvement rates under the implementation of the three strategies are calculated respectively, that is, the ratio of the difference value to the basic value is estimated, so that the emission reduction effect of each strategy is quantified.